[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-data-strategy-us":3,"job-search-\u002Fde-us\u002Fjobs-by-expertise\u002Fdata-strategy":20,"expertise-filters-\u002Fde-us\u002Fjobs-by-expertise\u002Fdata-strategy":483,"featured-jobs-\u002Fde-us\u002Fjobs-by-expertise\u002Fdata-strategy":610},{"image_path":4,"content_de":4,"content_en":5,"composite_key":18,"last_updated":19},null,{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Strategic Importance","In the rapidly evolving financial landscape of the United States, Data Strategy has emerged as a cornerstone for competitive advantage. Companies are no longer just collecting data; they are leveraging it to drive decision-making, enhance customer experiences, and mitigate risks. The demand for professionals who can craft and execute robust data strategies is soaring, with 14 open positions currently listed on our platform. This expertise is not isolated—it intersects with critical areas such as [Data Governance](\u002Fen-us\u002Fjobs-by-expertise\u002Fdata-governance), [Regulatory Compliance](\u002Fen-us\u002Fjobs-by-expertise\u002Fregulatory-compliance), [Risk Management](\u002Fen-us\u002Fjobs-by-expertise\u002Frisk-management), making it a multidisciplinary field that requires a holistic understanding of business and technology. As organizations navigate regulatory complexities and market volatility, a well-defined data strategy ensures agility and resilience. For job seekers, mastering Data Strategy opens doors to high-impact roles where you can shape the future of finance. Whether you are a seasoned professional or an aspiring leader, investing in this skill set positions you at the forefront of innovation. The median salary of USD 212k reflects the high value placed on this expertise, and the potential for career growth is immense. In a data-driven era, those who can translate raw information into actionable insights are indispensable.",{"title":10,"content":11},"Top Industries & Locations","Data Strategy roles are thriving across the United States, with opportunities concentrated in key financial hubs. Our data reveals that [New York](\u002Fen-us\u002Fjobs-in-new-york), [Mount Laurel](\u002Fen-us\u002Fjobs-in-mount-laurel), [Chicago](\u002Fen-us\u002Fjobs-in-chicago) are the hottest markets for these positions, offering a blend of established financial centers and emerging tech corridors. Industries such as [Financial Services](\u002Fen-us\u002Fjobs-by-industry\u002Ffinancial-services), [Banking](\u002Fen-us\u002Fjobs-by-industry\u002Fbanking), [Insurance](\u002Fen-us\u002Fjobs-by-industry\u002Finsurance) are leading the charge, investing heavily in data infrastructure and analytics to stay ahead. For instance, banking and financial services are leveraging data to personalize offerings and streamline operations, while insurance companies use predictive modeling to assess risk more accurately. The fintech sector is particularly dynamic, with startups and scale-ups seeking data strategists to disrupt traditional models. If you are open to relocation or remote work, these locations and industries provide a fertile ground for career advancement. The concentration of top employers in these areas means networking opportunities are abundant, and the competitive salaries—with a range of USD 200k – USD 243k—reflect the demand. Whether you prefer the fast-paced environment of a financial hub or the innovation-driven culture of a tech-focused city, the United States offers diverse pathways for Data Strategy professionals.",{"title":13,"content":14},"In-Demand Skills & Employers","To excel in Data Strategy, a blend of technical and soft skills is essential. Our analysis highlights [Sql](\u002Fen-us\u002Fjobs-by-skill\u002Fsql), [Python](\u002Fen-us\u002Fjobs-by-skill\u002Fpython), [Power Bi](\u002Fen-us\u002Fjobs-by-skill\u002Fpower-bi) as the most sought-after competencies in the current job market. Proficiency in data analytics tools and programming languages like SQL and Python is often a baseline, but the ability to communicate insights to non-technical stakeholders is equally critical. Employers are looking for candidates who can not only analyze data but also translate findings into strategic initiatives. Leading companies such as [TD Bank, N.A.](\u002Fen-us\u002Fcompany\u002Ftd-bank-na), [TD Securities (USA) LLC](\u002Fen-us\u002Fcompany\u002Ftd-securities-usa-llc), [Apollo Management Holdings, L.P.](\u002Fen-us\u002Fcompany\u002Fapollo-management-holdings-lp) are actively hiring for these roles, offering attractive packages and opportunities to work on transformative projects. These organizations value professionals who can navigate complex data ecosystems and drive data governance, quality, and security. Additionally, expertise in areas like [Data Governance](\u002Fen-us\u002Fjobs-by-expertise\u002Fdata-governance), [Regulatory Compliance](\u002Fen-us\u002Fjobs-by-expertise\u002Fregulatory-compliance), [Risk Management](\u002Fen-us\u002Fjobs-by-expertise\u002Frisk-management) can set you apart, as it demonstrates a comprehensive understanding of the business context. If you are looking to upskill, focusing on these areas will enhance your marketability. The job market is competitive, but with the right skill set, you can secure a position at a top employer and contribute to shaping their data-driven future.",{"title":16,"content":17},"Career Path & Salary","A career in Data Strategy offers a clear and rewarding progression path, from data analyst to chief data officer. Entry-level roles typically focus on data management and reporting, while mid-level positions involve developing and implementing strategies. Senior roles, such as Head of Data Strategy, require a blend of technical expertise and leadership skills. In the United States, the compensation for these roles is highly attractive. The median salary for Data Strategy professionals is USD 212k, with a typical range of USD 200k – USD 243k. The lowest earners in the field can expect around USD 91k, while top earners command up to USD 275k. With 14 open positions, the market is robust, offering ample opportunities for career growth. As you gain experience and demonstrate impact, you can negotiate higher salaries and move into executive roles. Additionally, the demand for data-driven decision-making is only increasing, ensuring long-term job security. Whether you are just starting or looking to pivot, now is an opportune time to invest in a Data Strategy career. The financial rewards, combined with the intellectual challenge, make it a compelling choice for ambitious professionals.","expertise:data-strategy:us","2026-08-17T18:27:53.011566+02:00",{"total":21,"jobs":22},14,[23,71,104,135,187,241,277,296,332,355,387,409,439,461],{"id":24,"slug":25,"title":26,"raw_title":4,"is_featured":27,"company":28,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":31,"processed_country_iso_code_gmaps":33,"processed_home_office":35,"processed_salary_min":36,"processed_salary_max":37,"processed_salary_currency":38,"processed_salary_source":39,"processed_working_hours":40,"processed_employment_types":42,"processed_it_skills":43,"processed_it_skills_labels":46,"processed_job_expertise_skills":55,"processed_job_expertise_skills_labels":56,"max_cpc":69,"actual_cpc":70},86645,"risk-data-analytics-product-owner-reporting-lead-federal-reserve-bank-of-new-york","Risk Data Analytics Product Owner & Reporting Lead",false,{"name":29,"slug":30,"logo_url":4},"Federal Reserve Bank of New York","federal-reserve-bank-of-new-york",[32],"New York",[34],"US","onsite",200000,230000,"USD","estimated",[41],"FULL_TIME","permanent",{"r":44,"python":45,"tableau":45,"power bi":45,"data modeling":45,"machine learning":44,"data visualization":45,"data analytics platforms":44},3,4,[47,48,49,50,51,52,53,54],"Tableau","Power BI","Python","R","Data Modeling","Data Visualization","Machine Learning","Data Analytics Platforms",{"reporting":45,"ai governance":44,"data analysis":45,"data strategy":44,"risk management":45,"dashboard design":45,"product ownership":45,"usability studies":44,"feature engineering":45,"user acceptance testing":44,"exploratory data analysis":45,"key risk indicators (kris)":45},[57,58,59,60,61,62,63,64,65,66,67,68],"Risk Management","Product Ownership","Data Analysis","Key Risk Indicators (KRIs)","AI Governance","Data Strategy","Exploratory Data Analysis","Feature Engineering","Dashboard Design","Reporting","User Acceptance Testing","Usability Studies",1,1.5,{"id":72,"slug":73,"title":74,"raw_title":4,"is_featured":27,"company":75,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":78,"processed_country_iso_code_gmaps":80,"processed_home_office":81,"processed_salary_min":82,"processed_salary_max":83,"processed_salary_currency":38,"processed_salary_source":39,"processed_working_hours":84,"processed_employment_types":42,"processed_it_skills":85,"processed_it_skills_labels":86,"processed_job_expertise_skills":93,"processed_job_expertise_skills_labels":94,"max_cpc":69,"actual_cpc":70},85124,"data-business-intelligence-manager-keybank-national-association","Data & Business Intelligence Manager",{"name":76,"slug":77,"logo_url":4},"KeyBank National Association","keybank-national-association",[79],"Brooklyn",[34],"hybrid",96000,181000,[41],{"sql":45,"python":44,"data lineage tools":44,"data cataloging tools":44,"data governance tools":44,"google cloud platform":45,"data visualization tools":45},[87,49,88,89,90,91,92],"SQL","Google Cloud Platform","Data Visualization Tools","Data Governance Tools","Data Cataloging Tools","Data Lineage Tools",{"reporting":45,"data literacy":45,"data modeling":45,"data strategy":45,"data analytics":45,"data governance":45,"project management":45,"business intelligence":45,"data product management":45,"data quality management":45,"user acceptance testing":45,"federated analytics models":45,"enterprise data environments":45},[95,96,97,98,51,66,99,62,100,101,67,102,103],"Data Analytics","Business Intelligence","Data Product Management","Data Quality Management","Project Management","Federated Analytics Models","Enterprise Data Environments","Data Literacy","Data Governance",{"id":105,"slug":106,"title":107,"raw_title":4,"is_featured":27,"company":108,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":111,"processed_country_iso_code_gmaps":112,"processed_home_office":35,"processed_salary_min":113,"processed_salary_max":114,"processed_salary_currency":38,"processed_salary_source":39,"processed_working_hours":115,"processed_employment_types":42,"processed_it_skills":116,"processed_it_skills_labels":117,"processed_job_expertise_skills":120,"processed_job_expertise_skills_labels":121,"max_cpc":69,"actual_cpc":70},82389,"executive-director-transformation-business-effectiveness-cibc-world-markets-corp","Executive Director, Transformation, Business Effectiveness",{"name":109,"slug":110,"logo_url":4},"CIBC World Markets Corp","cibc-world-markets-corp",[32],[34],180000,244600,[41],{"ai":44,"data modeling":45,"data analytics":44,"digitalization":44,"data governance":45},[118,51,103,95,119],"AI","Digitalization",{"benchmarking":45,"data strategy":45,"transformation":45,"risk management":45,"product strategy":45,"business planning":45,"change management":45,"technology roadmap":45,"market intelligence":45,"taxonomy development":45,"regulatory compliance":45,"process re-engineering":45,"operating model redesign":45,"product lifecycle management":45,"corporate and investment banking":45},[122,123,124,125,62,126,57,127,128,129,130,131,132,133,134],"Corporate and Investment Banking","Product Strategy","Transformation","Change Management","Regulatory Compliance","Business Planning","Technology Roadmap","Market Intelligence","Product Lifecycle Management","Taxonomy Development","Benchmarking","Operating Model Redesign","Process Re-engineering",{"id":136,"slug":137,"title":138,"raw_title":4,"is_featured":27,"company":139,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":142,"processed_country_iso_code_gmaps":144,"processed_home_office":35,"processed_salary_min":145,"processed_salary_max":146,"processed_salary_currency":38,"processed_salary_source":39,"processed_working_hours":147,"processed_employment_types":42,"processed_it_skills":148,"processed_it_skills_labels":149,"processed_job_expertise_skills":172,"processed_job_expertise_skills_labels":173,"max_cpc":69,"actual_cpc":70},66326,"data-engineering-amp-platform-enablement-practice-lead-us-td-bank-na","Data Engineering & Platform Enablement Practice Lead (US)",{"name":140,"slug":141,"logo_url":4},"TD Bank, N.A.","td-bank-na",[143],"Mount Laurel",[34],123680,200200,[41],{"ai":44,"api":45,"aws":45,"sql":45,"azure":45,"kafka":44,"python":45,"dataops":45,"etl\u002Felt":45,"data lake":45,"snowflake":44,"automation":45,"databricks":45,"data fabric":45,"data quality":45,"google cloud":45,"data modeling":45,"data security":45,"observability":45,"data streaming":45,"data governance":45,"data integration":45,"data warehousing":45,"machine learning":44,"event-driven architecture":45},[150,151,152,153,154,155,156,157,158,159,160,161,162,87,49,163,164,165,166,167,168,169,170,171,118],"Databricks","Azure","AWS","Google Cloud","Kafka","Snowflake","ETL\u002FELT","API","Event-driven architecture","Data streaming","DataOps","Observability","Automation","Data modeling","Data governance","Data security","Data quality","Data integration","Data warehousing","Data lake","Data fabric","Machine learning",{"itil":44,"budgeting":44,"compliance":45,"data security":45,"data strategy":45,"data governance":45,"data management":45,"data operations":45,"risk management":45,"data engineering":45,"data architecture":45,"project management":45,"talent development":45,"resource allocation":45,"platform engineering":45,"performance management":45,"data product development":45},[174,175,176,177,103,62,178,179,180,181,57,99,182,183,184,185,186],"Data Engineering","Platform Engineering","Data Architecture","Data Management","Data Product Development","Data Operations","Data Security","Compliance","Budgeting","Resource Allocation","Performance Management","Talent Development","ITIL",{"id":188,"slug":189,"title":190,"raw_title":4,"is_featured":27,"company":191,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":194,"processed_country_iso_code_gmaps":196,"processed_home_office":81,"processed_salary_min":197,"processed_salary_max":198,"processed_salary_currency":38,"processed_salary_source":39,"processed_working_hours":199,"processed_employment_types":42,"processed_it_skills":200,"processed_it_skills_labels":201,"processed_job_expertise_skills":208,"processed_job_expertise_skills_labels":209,"max_cpc":69,"actual_cpc":70},76704,"director-data-strategy-data-products-activation-prudential-ins-co-of-america","Director, Data Strategy, Data Products & Activation",{"name":192,"slug":193,"logo_url":4},"Prudential Ins Co of America","prudential-ins-co-of-america",[195],"Newark",[34],158800,238200,[41],{"sql":44,"python":44,"marketo":45,"ai\u002Fml enablement":44,"data engineering":44,"data architecture":44,"cloud-native data stacks":44,"adobe experience platform":45,"enterprise data warehouse (edw)":45,"salesforce marketing cloud (sfmc)":45},[202,203,204,205,174,176,206,207,87,49],"Adobe Experience Platform","Marketo","Salesforce Marketing Cloud (SFMC)","Enterprise Data Warehouse (EDW)","Cloud-native data stacks","AI\u002FML enablement",{"agile":44,"budgeting":44,"compliance":45,"ethical ai":45,"attribution":45,"stewardship":45,"data capture":45,"data lineage":45,"data privacy":45,"data quality":45,"lean product":44,"roi modeling":45,"cdp platforms":45,"data strategy":45,"martech stack":45,"identity graph":45,"kpi definition":45,"data cataloging":45,"data governance":45,"data management":45,"design thinking":44,"instrumentation":45,"campaign taxonomy":45,"matrix leadership":45,"vendor management":44,"consent management":45,"project management":45,"identity resolution":45,"metadata management":45,"data democratization":45,"data risk management":45,"self-serve analytics":45,"continuous improvement":45,"data product lifecycle":45,"performance monitoring":45,"closed-loop measurement":45,"data product management":45,"marketing data and technology":45},[62,177,97,210,103,211,212,213,214,215,216,217,218,219,220,221,181,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,182,99,240],"Marketing Data and Technology","Metadata Management","Data Lineage","Data Cataloging","Data Quality","Stewardship","Identity Resolution","Identity Graph","CDP Platforms","MarTech Stack","Data Privacy","Consent Management","Closed-loop Measurement","Attribution","Agile","Design Thinking","Lean Product","Data Product Lifecycle","KPI Definition","ROI Modeling","Data Democratization","Self-serve Analytics","Data Risk Management","Ethical AI","Campaign Taxonomy","Instrumentation","Data Capture","Performance Monitoring","Continuous Improvement","Matrix Leadership","Vendor Management",{"id":242,"slug":243,"title":244,"raw_title":4,"is_featured":27,"company":245,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":248,"processed_country_iso_code_gmaps":250,"processed_home_office":35,"processed_salary_min":251,"processed_salary_max":252,"processed_salary_currency":38,"processed_salary_source":39,"processed_working_hours":253,"processed_employment_types":42,"processed_it_skills":254,"processed_it_skills_labels":255,"processed_job_expertise_skills":258,"processed_job_expertise_skills_labels":259,"max_cpc":69,"actual_cpc":70},55757,"product-owner-iii-data-amp-analytics-columbia-bank","Product Owner III, Data & Analytics",{"name":246,"slug":247,"logo_url":4},"Columbia Bank","columbia-bank",[249],"San Jose",[34],110000,140000,[41],{"sql":44,"ncino":45,"python":44,"tableau":45,"power bi":45,"salesforce":45,"data analytics":45},[48,47,256,257,95,87,49],"Salesforce","nCino",{"lean":44,"safe":44,"scrum":45,"kanban":44,"reporting":45,"six sigma":44,"roi analysis":44,"user stories":45,"data strategy":45,"data governance":45,"release planning":44,"business analysis":45,"backlog management":45,"banking operations":45,"product management":45,"agile methodologies":45,"process improvement":45,"business intelligence":45,"dashboard development":45,"regulatory compliance":45,"stakeholder management":45,"underwriting workflows":45},[260,261,103,96,262,263,264,265,266,267,268,126,62,66,269,270,271,272,273,274,275,276],"Product Management","Business Analysis","Process Improvement","Agile Methodologies","Scrum","SAFe","Kanban","Banking Operations","Underwriting Workflows","Dashboard Development","User Stories","Backlog Management","Release Planning","Stakeholder Management","ROI Analysis","Lean","Six Sigma",{"id":278,"slug":279,"title":280,"raw_title":4,"is_featured":27,"company":281,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":282,"processed_country_iso_code_gmaps":283,"processed_home_office":35,"processed_salary_min":284,"processed_salary_max":285,"processed_salary_currency":38,"processed_salary_source":39,"processed_working_hours":286,"processed_employment_types":42,"processed_it_skills":287,"processed_it_skills_labels":288,"processed_job_expertise_skills":291,"processed_job_expertise_skills_labels":292,"max_cpc":69,"actual_cpc":70},66321,"data-steward-ii-us-regulatory-reporting-td-bank-na","Data Steward II (US)- Regulatory Reporting",{"name":140,"slug":141,"logo_url":4},[143],[34],91000,136240,[41],{"sql":44,"ms office":44,"data analysis":44,"data warehouse":44},[87,289,59,290],"Data Warehouse","MS Office",{"data strategy":45,"data governance":45,"data management":45,"m&a due diligence":44,"metadata management":45,"data risk management":45,"regulatory reporting":45,"data quality management":45,"data life cycle management":45},[103,177,98,211,232,293,62,294,295],"Regulatory Reporting","M&A Due Diligence","Data Life Cycle Management",{"id":297,"slug":298,"title":299,"raw_title":4,"is_featured":27,"company":300,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":303,"processed_country_iso_code_gmaps":304,"processed_home_office":35,"processed_salary_min":305,"processed_salary_max":306,"processed_salary_currency":38,"processed_salary_source":39,"processed_working_hours":307,"processed_employment_types":42,"processed_it_skills":308,"processed_it_skills_labels":309,"processed_job_expertise_skills":320,"processed_job_expertise_skills_labels":321,"max_cpc":69,"actual_cpc":70},66433,"vp-compliance-amp-surveillance-technology-lead-developer-td-securities-usa-llc","VP, Compliance & Surveillance Technology Lead Developer",{"name":301,"slug":302,"logo_url":4},"TD Securities (USA) LLC","td-securities-usa-llc",[32],[34],175500,215000,[41],{"sql":45,"java":45,"ci\u002Fcd":44,"kafka":45,"nosql":44,"spring boot":45,"generative ai":44,"message queues":44,"cloud technologies":44,"large language models":44,"event-based architectures":44,"natural language processing":44},[310,311,87,312,154,313,314,315,316,317,318,319],"Java","Spring Boot","NoSQL","Message Queues","Event-based architectures","Cloud technologies","CI\u002FCD","Large Language Models","Natural Language Processing","Generative AI",{"order flow":45,"asset classes":45,"data modeling":45,"data strategy":45,"global markets":45,"data governance":45,"trade lifecycle":45,"market structure":45,"project management":44,"trade surveillance":45,"agile methodologies":45,"architecture design":45,"integration projects":45,"financial services industry":45,"large unstructured data sets":44},[322,323,51,62,103,324,263,99,325,326,327,328,329,330,331],"Trade Surveillance","Global Markets","Integration Projects","Architecture Design","Financial Services Industry","Trade Lifecycle","Order Flow","Market Structure","Asset Classes","Large Unstructured Data Sets",{"id":333,"slug":334,"title":335,"raw_title":4,"is_featured":27,"company":336,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":339,"processed_country_iso_code_gmaps":340,"processed_home_office":35,"processed_salary_min":36,"processed_salary_max":341,"processed_salary_currency":38,"processed_salary_source":39,"processed_working_hours":342,"processed_employment_types":42,"processed_it_skills":343,"processed_it_skills_labels":344,"processed_job_expertise_skills":349,"processed_job_expertise_skills_labels":350,"max_cpc":69,"actual_cpc":70},65335,"senior-director-data-architecture-starr-insurance-holdings-inc","Senior Director, Data Architecture",{"name":337,"slug":338,"logo_url":4},"Starr Insurance Holdings, Inc.","starr-insurance-holdings-inc",[32],[34],275000,[41],{"aws":45,"gcp":45,"sql":45,"azure":45,"spark":45,"snowflake":45,"databricks":45,"data modeling":45,"metadata tools":45,"streaming platforms":45},[150,155,345,152,151,346,347,348,51,87],"Spark","GCP","Streaming Platforms","Metadata Tools",{"data strategy":45,"data governance":45,"data management":45,"data integration":45,"data architecture":45,"cloud architecture":45,"regulatory compliance":45,"medallion architecture":45,"insurance domain knowledge":45},[176,177,103,351,352,353,354,62,126],"Insurance Domain Knowledge","Cloud Architecture","Medallion Architecture","Data Integration",{"id":356,"slug":357,"title":358,"raw_title":4,"is_featured":27,"company":359,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":362,"processed_country_iso_code_gmaps":364,"processed_home_office":35,"processed_salary_min":365,"processed_salary_max":36,"processed_salary_currency":38,"processed_salary_source":39,"processed_working_hours":366,"processed_employment_types":42,"processed_it_skills":367,"processed_it_skills_labels":369,"processed_job_expertise_skills":377,"processed_job_expertise_skills_labels":378,"max_cpc":69,"actual_cpc":70},53415,"senior-manager-data-amp-bi-practice-wrinc-waterrise-inc","Senior Manager, Data & BI Practice",{"name":360,"slug":361,"logo_url":4},"WaterRise Inc.","waterrise-inc",[363],"Chicago",[34],150000,[41],{"sql":44,"power bi":45,"security":44,"data lakes":45,"databricks":45,"azure fabric":45,"data quality":44,"azure synapse":368,"data modeling":45,"ai\u002Fml concepts":44,"data governance":44,"data warehousing":45,"elt\u002Fetl pipelines":45,"metadata management":44},2,[370,150,48,87,371,372,373,51,103,214,211,374,375,376],"Azure Fabric","Data Warehousing","Data Lakes","ELT\u002FETL Pipelines","Security","Azure Synapse","AI\u002FML Concepts",{"advisory":45,"analytics":45,"consulting":45,"data strategy":45,"kpi definition":44,"private equity":44,"data integration":45,"ai data readiness":44,"data architecture":45,"m&a due diligence":44,"dashboard strategy":45,"roadmap development":45,"portfolio operations":44,"business intelligence":45},[62,176,96,379,294,354,380,228,381,382,383,384,385,386],"Analytics","Roadmap Development","Dashboard Strategy","AI Data Readiness","Advisory","Consulting","Private Equity","Portfolio Operations",{"id":388,"slug":389,"title":390,"raw_title":4,"is_featured":27,"company":391,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":392,"processed_country_iso_code_gmaps":393,"processed_home_office":35,"processed_salary_min":36,"processed_salary_max":36,"processed_salary_currency":38,"processed_salary_source":39,"processed_working_hours":394,"processed_employment_types":42,"processed_it_skills":395,"processed_it_skills_labels":396,"processed_job_expertise_skills":402,"processed_job_expertise_skills_labels":403,"max_cpc":69,"actual_cpc":70},66430,"vp-global-research-business-management-td-securities-usa-llc","VP - Global Research Business Management",{"name":301,"slug":302,"logo_url":4},[32],[34],[41],{"ai tools":45,"crm tools":44,"microsoft office":44,"analytics platforms":44,"data productization":45},[397,398,399,400,401],"AI Tools","CRM Tools","Analytics Platforms","Data Productization","Microsoft Office",{"data strategy":45,"client strategy":45,"risk management":44,"series 7 and 63":45,"financial analysis":44,"business management":45,"strategy development":45,"regulatory compliance":44},[404,405,406,62,57,126,407,408],"Business Management","Strategy Development","Client Strategy","Financial Analysis","Series 7 and 63",{"id":410,"slug":411,"title":412,"raw_title":4,"is_featured":27,"company":413,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":416,"processed_country_iso_code_gmaps":418,"processed_home_office":81,"processed_salary_min":252,"processed_salary_max":419,"processed_salary_currency":38,"processed_salary_source":39,"processed_working_hours":420,"processed_employment_types":42,"processed_it_skills":421,"processed_it_skills_labels":422,"processed_job_expertise_skills":428,"processed_job_expertise_skills_labels":429,"max_cpc":69,"actual_cpc":70},60529,"data-product-owner-mitsui-sumitomo-marine-management-usa-inc","Data Product Owner",{"name":414,"slug":415,"logo_url":4},"Mitsui Sumitomo Marine Management (USA), Inc.","mitsui-sumitomo-marine-management-usa-inc",[417],"Warren County",[34],210000,[41],{"sql":44,"python":44,"power bi":45,"databricks":45,"azure openai":45,"azure ai studio":45,"microsoft fabric":45,"azure data factory":45,"azure data platform":45},[423,424,425,150,426,427,48,87,49],"Azure Data Platform","Microsoft Fabric","Azure Data Factory","Azure AI Studio","Azure OpenAI",{"rate filing":45,"data strategy":45,"naic reporting":45,"rating systems":44,"data governance":45,"actuarial methods":44,"actuarial concepts":45,"backlog management":45,"agile methodologies":45,"regulatory compliance":45,"data product ownership":45,"data quality management":45,"underwriting operations":45,"insurance product management":45,"policy administration systems":44},[62,103,430,431,432,433,98,271,263,126,434,435,436,437,438],"Data Product Ownership","Underwriting Operations","Actuarial Concepts","Insurance Product Management","Rate Filing","NAIC Reporting","Policy Administration Systems","Rating Systems","Actuarial Methods",{"id":440,"slug":441,"title":442,"raw_title":4,"is_featured":27,"company":443,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":446,"processed_country_iso_code_gmaps":447,"processed_home_office":35,"processed_salary_min":36,"processed_salary_max":448,"processed_salary_currency":38,"processed_salary_source":39,"processed_working_hours":449,"processed_employment_types":42,"processed_it_skills":450,"processed_it_skills_labels":451,"processed_job_expertise_skills":454,"processed_job_expertise_skills_labels":455,"max_cpc":69,"actual_cpc":70},53377,"principal-credit-strategy-amp-management-apollo-management-holdings-lp","Principal, Credit Strategy & Management",{"name":444,"slug":445,"logo_url":4},"Apollo Management Holdings, L.P.","apollo-management-holdings-lp",[32],[34],250000,[41],{"excel":45,"data analysis":45,"financial modeling":45},[452,453,59],"Excel","Financial Modeling",{"ai adoption":45,"data strategy":45,"private equity":45,"credit strategy":45,"corporate strategy":45,"investment banking":45,"process improvement":45,"organizational design":45},[456,457,385,458,459,262,62,460],"Credit Strategy","Investment Banking","Corporate Strategy","Organizational Design","AI Adoption",{"id":462,"slug":463,"title":464,"raw_title":4,"is_featured":27,"company":465,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":468,"processed_country_iso_code_gmaps":469,"processed_home_office":35,"processed_salary_min":365,"processed_salary_max":448,"processed_salary_currency":38,"processed_salary_source":39,"processed_working_hours":470,"processed_employment_types":42,"processed_it_skills":471,"processed_it_skills_labels":472,"processed_job_expertise_skills":476,"processed_job_expertise_skills_labels":477,"max_cpc":69,"actual_cpc":70},65309,"global-head-of-claims-data-amp-analytics-starr-adjustment-services-inc","Global Head of Claims Data & Analytics",{"name":466,"slug":467,"logo_url":4},"Starr Adjustment Services, Inc.","starr-adjustment-services-inc",[32],[34],[41],{"tableau":45,"power bi":45,"data governance":45,"machine learning":45,"big data platforms":45,"predictive modeling":45,"statistical modeling":45},[48,47,473,53,474,103,475],"Big Data Platforms","Predictive Modeling","Statistical Modeling",{"data strategy":45,"data governance":45,"fraud detection":45,"risk management":45,"claims management":45,"casualty insurance":45,"property insurance":45,"business intelligence":45,"regulatory compliance":45,"operational efficiency":45},[478,62,103,126,96,479,480,481,482,57],"Claims Management","Operational Efficiency","Fraud Detection","Casualty Insurance","Property Insurance",{"industry":484,"employment_type":499,"expertise_skills":502,"it_skills":554,"salary_currency":606,"processed_working_hours":608},[485,489,493,496],{"key":486,"label":487,"count":488},"financial services","Financial Services",9,{"key":490,"label":491,"count":492},"banking","Banking",5,{"key":494,"label":495,"count":45},"insurance","Insurance",{"key":497,"label":498,"count":69},"asset management","Asset Management",[500],{"key":42,"label":501,"count":21},"PERMANENT",[503,505,507,510,512,514,517,519,521,523,525,527,529,531,533,535,537,539,541,544,546,548,550,552],{"key":504,"label":62,"slug":504,"count":21},"data-strategy",{"key":506,"label":103,"slug":506,"count":488},"data-governance",{"key":508,"label":126,"slug":508,"count":509},"regulatory-compliance",6,{"key":511,"label":57,"slug":511,"count":492},"risk-management",{"key":513,"label":96,"slug":513,"count":45},"business-intelligence",{"key":515,"label":516,"slug":515,"count":45},"project-management","Project management",{"key":518,"label":177,"slug":518,"count":45},"data-management",{"key":520,"label":98,"slug":520,"count":44},"data-quality-management",{"key":522,"label":176,"slug":522,"count":44},"data-architecture",{"key":524,"label":263,"slug":524,"count":44},"agile-methodologies",{"key":526,"label":66,"slug":526,"count":44},"reporting",{"key":528,"label":181,"slug":528,"count":368},"compliance",{"key":530,"label":97,"slug":530,"count":368},"data-product-management",{"key":532,"label":211,"slug":532,"count":368},"metadata-management",{"key":534,"label":271,"slug":534,"count":368},"backlog-management",{"key":536,"label":67,"slug":536,"count":368},"user-acceptance-testing",{"key":538,"label":354,"slug":538,"count":368},"data-integration",{"key":540,"label":262,"slug":540,"count":368},"process-improvement",{"key":542,"label":543,"slug":542,"count":368},"kpi-definition","Kpi Definition",{"key":545,"label":294,"slug":545,"count":368},"ma-due-diligence",{"key":547,"label":232,"slug":547,"count":368},"data-risk-management",{"key":549,"label":182,"slug":549,"count":368},"budgeting",{"key":551,"label":51,"slug":551,"count":368},"data-modeling",{"key":553,"label":385,"slug":553,"count":368},"private-equity",[555,557,559,562,563,565,566,568,570,572,574,576,579,582,584,587,589,591,594,596,597,599,601,604],{"key":556,"label":87,"slug":556,"count":488},"sql",{"key":558,"label":49,"slug":558,"count":509},"python",{"key":560,"label":561,"slug":560,"count":492},"ms-powerbi","MS PowerBI",{"key":551,"label":51,"slug":551,"count":492},{"key":564,"label":150,"slug":564,"count":45},"databricks",{"key":506,"label":103,"slug":506,"count":45},{"key":567,"label":53,"slug":567,"count":44},"machine-learning",{"key":569,"label":47,"slug":569,"count":44},"tableau",{"key":571,"label":214,"slug":571,"count":368},"data-quality",{"key":573,"label":95,"slug":573,"count":368},"data-analytics",{"key":575,"label":154,"slug":575,"count":368},"kafka",{"key":577,"label":578,"slug":577,"count":368},"ai","Ai",{"key":580,"label":581,"slug":580,"count":368},"aws","Aws",{"key":583,"label":59,"slug":583,"count":368},"data-analysis",{"key":585,"label":586,"slug":585,"count":368},"ms-azure","MS Azure",{"key":588,"label":371,"slug":588,"count":368},"data-warehousing",{"key":590,"label":155,"slug":590,"count":368},"snowflake",{"key":592,"label":593,"slug":592,"count":69},"crm-tools","Crm Tools",{"key":595,"label":54,"slug":595,"count":69},"data-analytics-platforms",{"key":522,"label":176,"slug":522,"count":69},{"key":598,"label":91,"slug":598,"count":69},"data-cataloging-tools",{"key":600,"label":174,"slug":600,"count":69},"data-engineering",{"key":602,"label":603,"slug":602,"count":69},"data-fabric","Data Fabric",{"key":605,"label":90,"slug":605,"count":69},"data-governance-tools",[607],{"key":38,"label":38,"count":21},[609],{"key":41,"label":41,"count":21},{"total":611,"jobs":612},0,[]]