[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-ca\u002Fcompany\u002Finvesco-canada-ltd":3,"all-featured-jobs-ca":178,"company-invesco-canada-ltd-de-ca":181,"company-filters-\u002Fde-ca\u002Fcompany\u002Finvesco-canada-ltd":199},{"total":4,"jobs":5},5,[6,66,101,129,159],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":15,"processed_country_iso_code_gmaps":17,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":24,"processed_employment_types":26,"processed_it_skills":27,"processed_it_skills_labels":30,"processed_job_expertise_skills":47,"processed_job_expertise_skills_labels":48,"max_cpc":64,"actual_cpc":65},84411,"senior-cloud-security-engineer-invesco-canada-ltd","Senior Cloud Security Engineer",null,false,{"name":13,"slug":14,"logo_url":10},"Invesco Canada Ltd.","invesco-canada-ltd",[16],"Charlottetown",[18],"CA","hybrid",90000,100000,"CAD","estimated",[25],"FULL_TIME","permanent",{"aws":28,"dlp":28,"wiz":28,"casb":28,"dspm":28,"azure":28,"scripting":28,"terraform":28,"automation":28,"containers":29,"kubernetes":29,"oracle cloud":29,"falcon shield sspm":28,"infrastructure-as-code":28,"saas security posture management":28,"cloud security posture management":28},4,3,[31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"AWS","Azure","Oracle Cloud","Terraform","Infrastructure-as-Code","Automation","Scripting","Kubernetes","Containers","Wiz","Falcon Shield SSPM","DSPM","CASB","DLP","Cloud Security Posture Management","SaaS Security Posture Management",{"cybersecurity":28,"cloud security":28,"data governance":28,"data protection":28,"threat modeling":28,"data classification":28,"security frameworks":28,"attack path analysis":28,"information security":28,"security engineering":28,"threat investigation":28,"regulatory compliance":28,"cloud identity security":28,"privilege risk management":28,"security incident response":28},[49,50,51,52,53,54,55,56,57,58,59,60,61,62,63],"Cybersecurity","Information Security","Security Engineering","Cloud Security","Threat Modeling","Attack Path Analysis","Cloud Identity Security","Privilege Risk Management","Data Protection","Data Classification","Data Governance","Security Incident Response","Threat Investigation","Security Frameworks","Regulatory Compliance",1,1.2,{"id":67,"slug":68,"title":69,"raw_title":10,"is_featured":11,"company":70,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":71,"processed_country_iso_code_gmaps":72,"processed_home_office":19,"processed_salary_min":73,"processed_salary_max":74,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":75,"processed_employment_types":26,"processed_it_skills":76,"processed_it_skills_labels":77,"processed_job_expertise_skills":88,"processed_job_expertise_skills_labels":89,"max_cpc":64,"actual_cpc":65},73792,"cyber-defense-analyst-data-loss-prevention-invesco-canada-ltd","Cyber Defense, Analyst – Data Loss Prevention",{"name":13,"slug":14,"logo_url":10},[16],[18],60000,65000,[25],{"ngfw":29,"sase":29,"siem":29,"panorama":29,"microsoft dlp":28,"prisma access":29,"ticketing systems":29,"palo alto url filtering":28,"case management workflows":29,"microsoft 365 security\u002Fcompliance tools":29},[78,79,80,81,82,83,84,85,86,87],"Microsoft DLP","Palo Alto URL Filtering","Panorama","NGFW","Prisma Access","SASE","Microsoft 365 security\u002Fcompliance tools","SIEM","Ticketing systems","Case management workflows",{"dlp operations":28,"data protection":28,"sop development":29,"proxy governance":28,"change management":28,"incident handling":28,"knowledge articles":29,"quality checklists":29,"data classification":29,"runbook maintenance":29,"security operations":28,"operational playbooks":29,"cybersecurity operations":28},[90,57,91,92,93,94,95,58,96,97,98,99,100],"Cybersecurity Operations","DLP Operations","Proxy Governance","Security Operations","Incident Handling","Change Management","SOP Development","Runbook Maintenance","Quality Checklists","Knowledge Articles","Operational Playbooks",{"id":102,"slug":103,"title":104,"raw_title":10,"is_featured":11,"company":105,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":106,"processed_country_iso_code_gmaps":107,"processed_home_office":19,"processed_salary_min":108,"processed_salary_max":109,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":110,"processed_employment_types":26,"processed_it_skills":111,"processed_it_skills_labels":113,"processed_job_expertise_skills":120,"processed_job_expertise_skills_labels":121,"max_cpc":64,"actual_cpc":65},58106,"advanced-power-bi-engineer-2530-invesco-canada-ltd","Advanced Power BI Engineer",{"name":13,"slug":14,"logo_url":10},[16],[18],52000,58000,[25],{"m":28,"r":29,"dax":28,"excel":29,"power bi":28,"photoshop":112},2,[114,115,116,117,118,119],"Power BI","DAX","M","R","Excel","Photoshop",{"wireframing":29,"ui\u002Fux design":29,"data analysis":28,"data modeling":28,"data visualization":28,"row level security":29,"business intelligence":28},[122,123,124,125,126,127,128],"Business Intelligence","Data Analysis","Data Visualization","UI\u002FUX Design","Wireframing","Data Modeling","Row Level Security",{"id":130,"slug":131,"title":132,"raw_title":10,"is_featured":11,"company":133,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":134,"processed_country_iso_code_gmaps":135,"processed_home_office":19,"processed_salary_min":136,"processed_salary_max":137,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":138,"processed_employment_types":26,"processed_it_skills":139,"processed_it_skills_labels":140,"processed_job_expertise_skills":151,"processed_job_expertise_skills_labels":152,"max_cpc":64,"actual_cpc":65},47469,"senior-engineer-digital-distribution-canada-ltd","Senior Engineer Digital Distribution",{"name":13,"slug":14,"logo_url":10},[16],[18],70000,75000,[25],{"aws":28,"dbt":29,"sql":28,"ci\u002Fcd":28,"github":28,"python":28,"airbyte":28,"ansible":28,"snowflake":28,"terraform":28,"linux\u002Fbash":28,"apache airflow":28},[31,141,142,143,144,145,34,146,147,148,149,150],"Python","SQL","Apache Airflow","Airbyte","Snowflake","Linux\u002FBash","Ansible","GitHub","CI\u002FCD","DBT",{"etl\u002Felt":28,"data modeling":28,"data integration":28,"data warehousing":28,"agile methodologies":28,"big data architectures":28,"technical documentation":29},[127,153,154,155,156,157,158],"Data Warehousing","Big Data Architectures","ETL\u002FELT","Data Integration","Agile Methodologies","Technical Documentation",{"id":160,"slug":161,"title":162,"raw_title":10,"is_featured":11,"company":163,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":164,"processed_country_iso_code_gmaps":165,"processed_home_office":19,"processed_salary_min":166,"processed_salary_max":167,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":168,"processed_employment_types":26,"processed_it_skills":169,"processed_it_skills_labels":170,"processed_job_expertise_skills":173,"processed_job_expertise_skills_labels":174,"max_cpc":64,"actual_cpc":65},47458,"senior-engineer-digital-distribution-amp-engagement-canada-ltd","Senior Engineer – Digital Distribution & Engagement",{"name":13,"slug":14,"logo_url":10},[16],[18],80000,85000,[25],{"aws":28,"sql":28,"ci\u002Fcd":29,"github":29,"python":28,"ai tools":112,"bitbucket":29,"snowflake":28,"apache airflow":28},[31,143,142,141,145,148,171,149,172],"Bitbucket","AI tools",{"etl\u002Felt":28,"data modeling":28,"data engineering":28,"data warehousing":28,"agile methodologies":29,"architecture documentation":29,"financial industry knowledge":29},[175,127,153,155,176,157,177],"Data Engineering","Architecture Documentation","Financial Industry Knowledge",{"total":179,"jobs":180},0,[],{"name":13,"slug":14,"logo_url":10,"id":182,"jobs":183,"description_de":10,"description_en":10,"industry":10,"headquarters_city":10,"headquarters_country_iso":10,"latitude":10,"longitude":10,"website_url":10,"raw_street":10,"raw_city":10,"raw_zip_code":10,"raw_country":10,"raw_legal_form":10,"raw_bafin_id":10,"raw_trade_names":10,"raw_permissions":10,"translations":10},3780,[184,186,188,190,192,197],{"id":160,"slug":161,"title":162,"location":10,"raw_job_location_address_addressLocality":10,"raw_hiringOrganization_logo_url":10,"raw_description":185},"As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. Job Description About the Team: The North America Client Transactions &amp; Data team is to streamline access to Client Information. We provide predictable data that enables our partners to respond more nimbly and rapidly to our changing business environment. By centralizing and delivery of our client data as a product, we provide transparent roadmaps while using a standardized, consistent &amp; predictable in engineering practices. About the Role: You will be responsible for supporting advanced analytics initiatives and data integration. Interact with Business Owners, Product Owners, Business Data Analysts, and Application Developers, to design, build and manage large-scale batch and real-time data pipelines utilizing various data analytic frameworks.  The position requires a strong technical hands-on-skilled engineer.  A successful candidate must demonstrate strong analytical, design, programing, and debugging skills in a large-scale analytics solution. Responsibilities of the Role:   Managing application and data integration platforms using AWS Cloud components Designing and building robust data pipelines using modern data engineering practices in a cloud-native architecture Partnering with business stakeholders to understand requirements and support the full lifecycle of development, reporting, and integration projects — from planning and design through testing and rollout — following Agile standards Ensuring data availability and enablement for business reporting and analytics within established SLAs Creating and maintaining architecture documentation, data models, and design artifacts Developing and maintaining production-grade code and automation to evolve data-driven, analytical capabilities — with a focus on understanding customer behavior and competitive dynamics Identifying and implementing innovative solutions and best practices to improve operational efficiency and pipeline reliability Communicating across business areas to formulate technical requirements for data ingestion, validation, scheduling, and delivery Requirements of the Role: 5–7 years of experience working in AWS, including services such as S3, RDS, Lambda, Glue, SNS, and related components 3-5 years of experience designing, building, and maintaining data pipelines using Apache Airflow Strong understanding of ETL\u002FELT patterns, with solid expertise in SQL and query performance optimization 3–5 years of experience working with Snowflake Strong programming skills in Python for data processing, automation, and pipeline development Experience with source control and collaboration tools (e.g., GitHub, Bitbucket) and CI\u002FCD practices for automated deployment of data and analytics workloads 1-2 years of experience integrating AI-driven tools or services (e.g., AWS AI services, Snowflake Cortex Code, LLM-enabled applications, or analytics platforms) into data workflows is a plus. 3–5 years of hands-on experience in data modeling, data warehousing, and large-scale data architecture design Business Acumen Familiarity with Agile Methodologies. Financial\u002F Investment Management industry experience Problem Solving Comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs Leadership Typically, no supervisory responsibilities but may provide informal guidance to new Team members Leads projects and processed Education Required BS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience Sr. Engineer, Digital Dist &amp; Ent Engagement The salary range for this position in Charlottetown is $80,000 - $85,000 year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location Full Time \u002F Part Time Full time Worker Type Employee Job Exempt (Yes \u002F No) No Workplace Model Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development. What’s in it for you? Our people are at the very core of our success and we strive to provide employees with a competitive total rewards package which includes: Hybrid working environment RRSP Contributions Health &amp; Wellness Benefits Work flexibility Programs Parental Leave Benefits Study Support The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco is committed to fair and accessible employment practices. If selected for an interview, we will work with you to ensure that your interview is accessible and accommodation is provided. Please contact us at accessibility@invesco.ca or 1.800.874.6275 to let us know if you require accommodation for an interview due to a disability. As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.",{"id":130,"slug":131,"title":132,"location":10,"raw_job_location_address_addressLocality":10,"raw_hiringOrganization_logo_url":10,"raw_description":187},"As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. Job Description About the Team: The North America Client Transactions &amp; Data team is to streamline access to Client Information. We provide predictable data that enables our partners to respond more nimbly and rapidly to our changing business environment. By centralizing and delivery of our client data as a product, we provide transparent roadmaps while using a standardized, consistent &amp; predictable in engineering practices. About the Role: You will be responsible for supporting advanced analytics initiatives and data integration. Interact with Business Owners, Product Owners, Business Data Analysts, and Application Developers, to design, build and manage large-scale batch and real-time data pipelines utilizing various data analytic frameworks. The position requires a strong technical hands-on-skilled engineer. A successful candidate must demonstrate strong analytical, design, programing, and debugging skills in a large-scale analytics solutions. Responsibilities of the Role: Managing application and data integration platforms using AWS Cloud Components Building robust data pipeline using modern data engineering practice in a Cloud architecture Understand the business and enable the full life cycle of development\u002F reporting\u002F integration projects: planning, design, develop, testing and rollout that confirms to Agile Standards Responsible for Data availability \u002Fenablement for business reporting and analytics within the SLA Create and manage data, applications and technology architecture documentation and design artifacts Help maintain the code and capability environment required to evolve data-driven, analytical capabilities with the end goal of understanding customer behavior and competitive dynamics Strong experience with writing complex programs, implementing architectures, and enabling automation in these environments Communicate with various business areas, partner on the formulation of technical requirements for data ingestion, verification, scheduling, etc. Requirements of the Role: 5-7 years of experience in data modeling, data warehousing, and big data architectures 5-7 years of experience of Amazon cloud (AWS)– S3, RDS, Lambda, Glue, SNS, Terraform etc. 5-7 years of experience in building data pipelines in tools using Apache Airflow, Airbyte Good understanding of ETL\u002FELT experience and good knowledge of SQL and query optimization techniques (ie DBT) 3-5 years of experience with Snowflake, with Cortex AI and LLM prompt engineering a nice to have Strong experience with databases such as Snowflake Postgres, Aurora, Athena Strong programming experience with Python, Linux\u002Fbash scripting, Ansible Experience using GitHub, Bit Bucket, or other code repository solution Understanding and knowledge of Automated code Deployments CI\u002FCD Education Required BS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience The salary range for this position in Charlottetown is $70,000 - $75,000 year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location Sr. Eng., Distrib Tech The salary range for this position in Charlottetown is $70,000 - $75,000 year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location Full Time \u002F Part Time Full time Worker Type Employee Job Exempt (Yes \u002F No) No Workplace Model Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development. What’s in it for you? Our people are at the very core of our success and we strive to provide employees with a competitive total rewards package which includes: Hybrid working environment RRSP Contributions Health &amp; Wellness Benefits Work flexibility Programs Parental Leave Benefits Study Support The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco is committed to fair and accessible employment practices. If selected for an interview, we will work with you to ensure that your interview is accessible and accommodation is provided. Please contact us at accessibility@invesco.ca or 1.800.874.6275 to let us know if you require accommodation for an interview due to a disability. As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.",{"id":67,"slug":68,"title":69,"location":10,"raw_job_location_address_addressLocality":16,"raw_hiringOrganization_logo_url":10,"raw_description":189},"As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. Job Description Who we are With over $2.3 trillion of assets under management, Invesco is one of the world’s leading global investment management firms, headquartered in Atlanta, GA. Spreading across 20 countries and with over 8400 dedicated employees, we are driven by trust and care. As one of the world’s leading asset managers, we are solely dedicated to delivering an investment experience that helps people get more out of life. If you're looking for challenging work, thoughtful colleagues, and a global employer with social values, explore your potential at Invesco. Your Team The Cyber Defense team is responsible for threat detection and monitoring along with Microsoft DLP alert monitoring and Palo Alto URL Filtering profile management across the enterprise. The team reviews potential data loss events, supports policy-level analysis, manages URL filtering change requests, and troubleshoots access issues through defined change management controls. The team works closely with DLP Engineering, Insider Risk, Incident Response, Network Security, SASE\u002FProxy Engineering, CAB stakeholders, and business teams to ensure operational outcomes are consistent, risk-based, and well documented. Your Role Lead day-to-day Microsoft DLP monitoring operations, including queue management, prioritization, SLA tracking, quality review, and escalation oversight. Guide Analysts during alert triage, evidence collection, case documentation, and true positive versus false positive validation across email, endpoint, Teams, SharePoint, OneDrive, and cloud activity where applicable. Own operational escalation for confirmed, high-risk, repeat, or sensitive data loss events and coordinate with Insider Risk, Incident Response, DLP Engineering, Legal\u002FCompliance, and business stakeholders as needed. Identify recurring false positives, noisy DLP rules, URL filtering policy friction, data classification gaps, and process pain points; translate findings into tuning, policy, and automation recommendations. Lead Palo Alto URL Filtering profile management activities, including policy edits, URL category\u002Fprofile changes, whitelisting\u002Fblacklisting governance, access troubleshooting, exception handling, and operational impact assessment. Manage the change lifecycle for URL Filtering and related proxy governance requests, including intake review, risk assessment, approval coordination, implementation validation, rollback planning, evidence capture, and closure documentation. Support approved change windows, including weekends and non-business days, as most Palo Alto URL Filtering profile changes are implemented outside normal business hours. Participate in weekend on-call support when required to ensure priority URL Filtering profile changes, troubleshooting, validations, and rollback activities are supported during planned maintenance windows. Represent Cyber Defense Operations in Change Advisory Board (CAB) meetings to review upcoming URL Filtering changes, provide operational impact input, support approvals, and ensure business requirements are understood. Develop and maintain SOPs, runbooks, quality checklists, knowledge articles, and operational playbooks for DLP monitoring and URL Filtering profile management. Coach Analysts, review investigation quality, support onboarding, and help maintain consistent operational standards across the team. The Experience You Bring 5+ years of experience in cybersecurity operations, data protection, DLP operations, proxy governance, security operations, or incident handling; prior lead or senior analyst experience is preferred. Hands-on experience with Palo Alto URL Filtering profile management, including Panorama\u002FNGFW or Prisma Access\u002FSASE policy changes, URL categories, security profiles, whitelisting\u002Fblacklisting governance, troubleshooting, validation, and rollback support. Hands-on experience with Microsoft DLP operations, including alert triage, investigation, evidence collection, dispositioning, escalation, reporting, and operational tuning recommendations. Strong experience supporting security change management activities, including request intake, impact assessment, approvals, CAB representation, implementation validation, evidence capture, and closure documentation. Flexibility to support planned weekend and non-business day change windows and participate in weekend on-call coverage when required for Palo Alto URL Filtering profile changes and related troubleshooting. Strong understanding of Microsoft 365 security\u002Fcompliance tools, sensitivity labels, data classification concepts, SIEM, ticketing systems, and case management workflows. Ability to analyze alert trends, policy friction, control gaps, and recurring operational issues, then convert findings into practical tuning, process, or automation recommendations. Strong written communication, stakeholder management, analytical thinking, attention to detail, and ability to produce clear, audit-ready investigation and change records. Academic Requirements Bachelor’s degree in computer science, Information Technology, Cybersecurity, Information Security, or a related discipline is preferred; equivalent practical experience will be considered. Professional certifications such as Security+, Network +, CEH, CCNA , CISSP or equivalent are preferred. The salary range for this position in PEI is 60,000-65,000 per year. Full Time \u002F Part Time Full time Worker Type Employee Job Exempt (Yes \u002F No) No Workplace Model Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development. What’s in it for you? Our people are at the very core of our success and we strive to provide employees with a competitive total rewards package which includes: Hybrid working environment RRSP Contributions Health &amp; Wellness Benefits Work flexibility Programs Parental Leave Benefits Study Support The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco is committed to fair and accessible employment practices. If selected for an interview, we will work with you to ensure that your interview is accessible and accommodation is provided. Please contact us at accessibility@invesco.ca or 1.800.874.6275 to let us know if you require accommodation for an interview due to a disability. As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.",{"id":102,"slug":103,"title":104,"location":10,"raw_job_location_address_addressLocality":16,"raw_hiringOrganization_logo_url":10,"raw_description":191},"As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. Job Description About the Team: This position will be part of the Enterprise Workplace and Collaboration Team within the Infrastructure Technology department. The team consists of global engineers supporting key Technology solutions. About the Role: This position will be responsible for designing, developing, and deploying visually appealing and highly interactive business intelligence solutions using Microsoft Power BI. The incumbent would work with Business Analysts and key stakeholders to analyze the data and reporting requirements, understand the business needs, ensure data accuracy, and recommend and deliver insightful dashboards and reports that support decision-making processes. Responsibilities of the Role: The focus of the role is to develop Power BI reports that are user friendly and visually impactful Incorporate native and GenAI\u002FML data analysis features of Power BI to translate data into insights and highlight actionable KPIs Develop UI\u002FUX and design language for various Technology reporting themes Devise and implement design principles and ensure all reports adhere to these principles Translate business requirements into documented navigation flows and wireframes Take a simplistic and self-explanatory approach to reporting interface to ensure answers to questions asked by Business Partners are clear and evident Ability to self-manage, by understanding customer needs and converting them into deliverables Utilize full potential of Power BI by incorporating the latest features and updates Serve as the Power BI subject matter expert for a dedicated Technology Infrastructure team. Implement row level security and manage access to reports and workspaces Work with Business Analysts to review and prioritize requirements and track to completion Extract data from multiple data sources by configuring Power BI gateways and using M scripting to connect and refresh the data. Write complex DAX statements and utilize R to manipulate and analyze data Ability to work with large structured and unstructured datasets Special projects as assigned Requirements of the Role: Three plus years of experience with Microsoft BI Stack At least two years of Power BI reporting experience Comprehensive design experience with knowledge of common design tools such as Photoshop Hands on experience with Microsoft Office products, especially Excel The salary range for this position in Charlottetown is $52,000 - $58,000 CAD\u002Fyear. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location Full Time \u002F Part Time Full time Worker Type Employee Job Exempt (Yes \u002F No) No Workplace Model Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development. What’s in it for you? Our people are at the very core of our success and we strive to provide employees with a competitive total rewards package which includes: Hybrid working environment RRSP Contributions Health &amp; Wellness Benefits Work flexibility Programs Parental Leave Benefits Study Support The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco is committed to fair and accessible employment practices. If selected for an interview, we will work with you to ensure that your interview is accessible and accommodation is provided. Please contact us at accessibility@invesco.ca or 1.800.874.6275 to let us know if you require accommodation for an interview due to a disability. As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.",{"id":193,"slug":194,"title":195,"location":10,"raw_job_location_address_addressLocality":16,"raw_hiringOrganization_logo_url":10,"raw_description":196},58107,"principal-ai-platform-infrastructure-engineer-2530-invesco-canada-ltd","Principal AI Platform Infrastructure Engineer","As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. Job Description About the Department: This team builds and operates the platform capabilities that enable enterprise adoption of agentic AI technologies, providing self-service deployment, standardized operations, and secure consumption of AI platform services. They own the lifecycle of AI platform infrastructure capabilities, including infrastructure-as-code modules, deployment automation, identity services, gateway services, and policy enforcement capabilities, from initial build through retirement. About the Role: The Principal AI Platform Infrastructure Engineer builds and operates the infrastructure platform that enables secure, scalable deployment of agentic AI solutions across the enterprise. This role develops reusable infrastructure modules, deployment automation, and platform capabilities that allow application teams to rapidly adopt AI technologies while meeting security, governance, and operational standards. Responsibilities of the Role: Build, maintain, version, and manage the lifecycle of Terraform (or equivalent IaC) modules and shared platform capabilities, including backward compatibility and deprecation. Translate reference architectures into tested, production-ready platform capabilities and infrastructure modules. Maintain platform documentation, contracts, and usage guidance that enable self-service adoption of AI infrastructure capabilities. Design and improve self-service deployment experiences that reduce infrastructure complexity and accelerate adoption by application teams. Build and operate CI\u002FCD, observability, and operational tooling that improves platform reliability, quality, and delivery velocity. Apply security, identity, and compliance requirements as code, so infrastructure deployed through the modules meets firm standards by default Establish engineering standards, best practices, and implementation guidance for AI platform capabilities. Troubleshoot and resolve platform, deployment, and consumption issues impacting consuming teams. Partner with the Agentic Infrastructure Architect to influence platform strategy, validate architecture decisions, and improve delivery of reusable platform patterns. Drive adoption and roadmap execution for AI platform capabilities through collaboration with architecture, security, operations, and application teams. Lead complex technical decisions involving infrastructure automation, platform services, and AI enablement capabilities. Requirements of the Role: Hands-on experience building Terraform (or equivalent IaC) modules, reusable platform components, and self-service infrastructure capabilities. Experience building and maintaining CI\u002FCD pipelines for infrastructure delivery (testing, versioning, publishing) Experience implementing observability, operational readiness, and reliability practices for shared platform services. Working knowledge of cloud identity\u002Faccess management, networking, and security-as-code practices Experience with cloud AI platform technologies such as Amazon Bedrock, Azure AI Foundry, model gateways, evaluation frameworks, vector databases, or similar AI infrastructure services. Ability to translate architecture designs into working, tested infrastructure code Experience operating and supporting shared platforms consumed by multiple teams. Strong documentation practices including platform contracts, usage guidance, and release documentation. Ability to independently lead complex technical initiatives, evaluate architectural tradeoffs, and influence design decisions across multiple teams. The salary range for this position in Charlottetown is $75,000 - $85,000 year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location. Full Time \u002F Part Time Full time Worker Type Employee Job Exempt (Yes \u002F No) Yes Workplace Model Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development. What’s in it for you? Our people are at the very core of our success and we strive to provide employees with a competitive total rewards package which includes: Hybrid working environment RRSP Contributions Health &amp; Wellness Benefits Work flexibility Programs Parental Leave Benefits Study Support The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco is committed to fair and accessible employment practices. If selected for an interview, we will work with you to ensure that your interview is accessible and accommodation is provided. Please contact us at accessibility@invesco.ca or 1.800.874.6275 to let us know if you require accommodation for an interview due to a disability. As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.",{"id":7,"slug":8,"title":9,"location":10,"raw_job_location_address_addressLocality":16,"raw_hiringOrganization_logo_url":10,"raw_description":198},"As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. Job Description Your Role The Senior Cloud Security Engineer is responsible for securing Invesco's cloud, SaaS, AI, and data ecosystems through the implementation, operation, and continuous improvement of security controls that reduce organizational risk and strengthen cyber resilience. This role partners with engineering, architecture, infrastructure, application, and cybersecurity teams to identify and reduce attack paths, protect critical assets, improve security posture, and ensure cloud technologies are implemented in accordance with enterprise security standards. You Will Be Responsible For ber events. Conducting SaaS security assessments and security reviews to ensure cloud and third-party platforms meet Invesco security requirements. Implementing data protection controls across cloud and SaaS platforms, including DLP, DSPM, encryption, access controls, and data governance integrations. Performing threat modeling and security design reviews for emerging technologies, cloud services, and AI-enabled solutions. Leveraging automation and Infrastructure-as-Code to improve security control deployment, consistency, and operational efficiency. Supporting security incident response, threat investigations, and remediation activities within cloud and SaaS environments. Partnering with Cyber Defense, IAM, Infrastructure, and Application teams to continuously improve overall security posture and resilience. The Experience you Bring: 5+ years of cybersecurity, information security, or security engineering experience supporting enterprise-scale environments. 3+ years of focused cloud security engineering experience across AWS, Azure, Oracle Cloud, and SaaS platforms. Experience implementing cloud security posture management, SaaS security posture management, and cloud-native security controls. Hands-on experience with Wiz, Falcon Shield SSPM, DSPM, CASB, DLP, and cloud security technologies. Strong understanding of attack path analysis, threat modeling, cloud identity security, privilege risk management, and containment strategies. Experience securing AI capabilities, cloud-native applications, containers, Kubernetes, and modern application architectures. Experience implementing data protection controls, including DLP, DSPM, encryption, data classification, and sensitive data governance. Experience with Terraform, automation, scripting, and Infrastructure-as-Code practices. Experience supporting regulatory and security frameworks including NIST, ISO 27001, CSA, SOC1\u002F2, GDPR, DORA, and SOX. Strong communication skills with the ability to translate technical risks into business-focused outcomes. \\Reduce exposure to cloud, SaaS, AI, and data-related threats. Identify and remediate attack paths before they can be exploited. Protect critical business services, sensitive data, and privileged identities from modern attack scenarios. Improve the organization's ability to detect, contain, and recover from cyber events. Enable secure business growth through cloud, SaaS, and AI adoption. The salary range for this position in PEI is $90,000-100,000 CAD per year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location Full Time \u002F Part Time Full time Worker Type Employee Job Exempt (Yes \u002F No) No Workplace Model Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development. What’s in it for you? Our people are at the very core of our success and we strive to provide employees with a competitive total rewards package which includes: Hybrid working environment RRSP Contributions Health &amp; Wellness Benefits Work flexibility Programs Parental Leave Benefits Study Support The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco is committed to fair and accessible employment practices. If selected for an interview, we will work with you to ensure that your interview is accessible and accommodation is provided. Please contact us at accessibility@invesco.ca or 1.800.874.6275 to let us know if you require accommodation for an interview due to a disability. As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.",{"industry":200,"employment_type":207,"expertise_skills":210,"it_skills":260,"salary_currency":320,"processed_working_hours":322},[201,204],{"key":202,"label":203,"count":28},"asset management","Asset Management",{"key":205,"label":206,"count":64},"financial services","Financial Services",[208],{"key":26,"label":209,"count":4},"PERMANENT",[211,213,215,217,219,221,224,226,228,230,232,234,236,238,240,242,244,246,248,250,252,254,256,258],{"key":212,"label":127,"slug":212,"count":29},"data-modeling",{"key":214,"label":157,"slug":214,"count":112},"agile-methodologies",{"key":216,"label":153,"slug":216,"count":112},"data-warehousing",{"key":218,"label":57,"slug":218,"count":112},"data-protection",{"key":220,"label":58,"slug":220,"count":112},"data-classification",{"key":222,"label":223,"slug":222,"count":112},"etlelt","Etl\u002FElt",{"key":225,"label":93,"slug":225,"count":64},"security-operations",{"key":227,"label":56,"slug":227,"count":64},"privilege-risk-management",{"key":229,"label":51,"slug":229,"count":64},"security-engineering",{"key":231,"label":61,"slug":231,"count":64},"threat-investigation",{"key":233,"label":92,"slug":233,"count":64},"proxy-governance",{"key":235,"label":59,"slug":235,"count":64},"data-governance",{"key":237,"label":95,"slug":237,"count":64},"change-management",{"key":239,"label":62,"slug":239,"count":64},"security-frameworks",{"key":241,"label":156,"slug":241,"count":64},"data-integration",{"key":243,"label":49,"slug":243,"count":64},"cybersecurity",{"key":245,"label":100,"slug":245,"count":64},"operational-playbooks",{"key":247,"label":60,"slug":247,"count":64},"security-incident-response",{"key":249,"label":175,"slug":249,"count":64},"data-engineering",{"key":251,"label":90,"slug":251,"count":64},"cybersecurity-operations",{"key":253,"label":154,"slug":253,"count":64},"big-data-architectures",{"key":255,"label":54,"slug":255,"count":64},"attack-path-analysis",{"key":257,"label":176,"slug":257,"count":64},"architecture-documentation",{"key":259,"label":98,"slug":259,"count":64},"quality-checklists",[261,264,266,269,271,273,275,277,280,283,286,288,291,293,296,299,301,303,306,308,310,313,315,317],{"key":262,"label":263,"slug":262,"count":29},"aws","Aws",{"key":265,"label":143,"slug":265,"count":112},"apache-airflow",{"key":267,"label":268,"slug":267,"count":112},"github","Github",{"key":270,"label":141,"slug":270,"count":112},"python",{"key":272,"label":145,"slug":272,"count":112},"snowflake",{"key":274,"label":142,"slug":274,"count":112},"sql",{"key":276,"label":34,"slug":276,"count":112},"terraform",{"key":278,"label":279,"slug":278,"count":112},"cicd","Ci\u002FCd",{"key":281,"label":282,"slug":281,"count":64},"dlp","Dlp",{"key":284,"label":285,"slug":284,"count":64},"palo-alto-url-filtering","Palo Alto Url Filtering",{"key":287,"label":40,"slug":287,"count":64},"wiz",{"key":289,"label":290,"slug":289,"count":64},"microsoft-365-securitycompliance-tools","Microsoft 365 Security\u002FCompliance Tools",{"key":292,"label":147,"slug":292,"count":64},"ansible",{"key":294,"label":295,"slug":294,"count":64},"ticketing-systems","Ticketing Systems",{"key":297,"label":298,"slug":297,"count":64},"ngfw","Ngfw",{"key":300,"label":39,"slug":300,"count":64},"containers",{"key":302,"label":38,"slug":302,"count":64},"kubernetes",{"key":304,"label":305,"slug":304,"count":64},"ms-excel","MS Excel",{"key":307,"label":119,"slug":307,"count":64},"photoshop",{"key":309,"label":82,"slug":309,"count":64},"prisma-access",{"key":311,"label":312,"slug":311,"count":64},"dbt","Dbt",{"key":314,"label":116,"slug":314,"count":64},"m",{"key":316,"label":146,"slug":316,"count":64},"linuxbash",{"key":318,"label":319,"slug":318,"count":64},"ms-azure","MS Azure",[321],{"key":22,"label":22,"count":4},[323],{"key":25,"label":25,"count":4}]