[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-associate-director-cyber-security-ai-data-science-tiaa-global-capabilities-private-limited-de-in":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":11,"featured_until":7,"is_active":12,"deactivated_at":7,"is_enriched":12,"processed_job_posting_json":13,"processed_latitude":110,"processed_longitude":111,"processed_employment_types":112,"processed_working_hours":113,"processed_working_hours_labels":115,"processed_home_office":116,"processed_salary_min":107,"processed_salary_max":108,"processed_salary_currency":104,"processed_salary_source":117,"processed_benefits":118,"processed_benefits_labels":123,"processed_industry":124,"processed_skills":7,"processed_job_location":125,"processed_full_address_gmaps":127,"processed_street_gmaps":129,"processed_city_gmaps":130,"processed_postal_code_gmaps":131,"processed_country_gmaps":133,"processed_country_iso_code_gmaps":135,"full_description":17,"formatted_description":136,"processed_employment_types_labels":35,"processed_home_office_labels":33,"processed_industry_labels":37,"processed_it_skills":137,"processed_it_skills_labels":140,"processed_soft_skills":141,"processed_soft_skills_labels":142,"processed_job_expertise_skills":143,"processed_job_expertise_skills_labels":144,"processed_language_requirements":145,"processed_total_experience_years":152,"processed_professional_field":153,"processed_professional_field_labels":157,"processed_leadership_role":12,"processed_date_posted":20,"raw_job_url":158,"apply_url":7,"raw_hiringOrganization_logo_url":7,"translations":7,"canonical_industry_key":124,"canonical_industry_label":37,"max_cpc":159,"actual_cpc":7},88251,"associate-director-cyber-security-ai-data-science-tiaa-global-capabilities-private-limited","Associate Director - Cyber Security (AI & Data Science)",null,{"name":9,"slug":10,"logo_url":7},"TIAA Global Capabilities Private Limited","tiaa-global-capabilities-private-limited",false,true,{"@context":14,"@type":15,"title":16,"description":17,"hiringOrganization":18,"datePosted":20,"validThrough":21,"jobLocation":22,"jobLocationType":33,"employmentType":34,"industry":36,"skills":38,"baseSalary":102},"https:\u002F\u002Fschema.org\u002F","JobPosting","Associate Director - Cyber Security (AI &amp; Data Science)","Associate Director - Data Analytics Associate Director – Data Analytics will lead the implementation of enterprise analytics development work for both business intelligence and data engineering needs. The Data Analytics job manages multiple teams led by managers or team leaders that gather, analyze, interpret and visualize enterprise wide analytics data, identifying insights that ultimately inform business, customer experience, product development and marketing decisions. This job oversees the development of analysts in both Data Engineering and Business intelligence. This job owns adherence to the development of standards and controls, data quality and assurance, and implementing those standards across the entire team, and in conjunction with business partners in the US. Key Responsibilities and Duties Enforces policies and procedure in partnership with onshore analytics leaders to ensure consistent, reliable data output - educating and enforcing adherence of standards across the team Consults on the development of new standard operating procedures based on knowledge of existing and emerging analytics principles, theories and techniques to inform business decisions and the operating model Establish systems of controls and Quality Assurance to ensure adherence to data quality and automation in alignment with IT standards. Communicates with leadership on analytics matters to ensure enterprise-wide understanding of their contribution to a mature analytics organization’s success. Perform administrative and support activities including security administration, release management and troubleshooting Perform development activities from gathering requirements and designing solutions, through developing code \u002F reports, to testing and release \u002F deployment Educational Requirements University (Degree) Preferred Work Experience 5+ Years Required; 7+ Years Preferred Physical Requirements Physical Requirements: Sedentary Work Career Level 9PL Job Description — Associate Director \u002F Head of Cybersecurity AI Position Associate Director – Cybersecurity AI \u002F Head of Cybersecurity AI Experience 12–15+ years in Cybersecurity, Information Security, AI Security, Security Engineering, or related technology leadership roles. Role Overview We are looking for a strategic and hands-on Cybersecurity AI leader to define and drive the organization’s strategy for applying Artificial Intelligence and Agentic AI to cybersecurity, while establishing security, governance, and risk controls for AI adoption across the enterprise. The role will lead the development of AI-enabled cybersecurity capabilities, including AI-driven SOC, security automation, threat detection, identity and access intelligence, data security, insider-threat detection, third-party risk, vulnerability management, security engineering, and cyber risk analytics. The leader will also establish a Zero Trust–aligned security framework for AI and autonomous agents, covering non-human identities, intent, access, data usage, model interactions, tool invocation, and autonomous actions. Key Responsibilities 1. Cybersecurity AI Strategy Define and execute the enterprise Cybersecurity AI strategy and roadmap. Identify high-value cybersecurity use cases for GenAI, ML and Agentic AI. Build business cases, investment roadmaps and measurable ROI for AI-driven security transformation. Establish responsible and secure adoption of AI across Cybersecurity. 2. AI for Cybersecurity Lead AI transformation across: AI-enabled SOC and Security Operations Threat detection and investigation Incident response automation Security orchestration and autonomous response Vulnerability and exposure management Identity and access intelligence Insider-threat detection Data Loss Prevention and data classification Third-party \u002F supply-chain cyber risk Threat intelligence Security analytics and cyber-risk dashboards Application and cloud security Security engineering automation 3. Security of AI \u002F AI Security Define controls and architecture for securing enterprise AI environments, including: GenAI and LLM security AI applications and copilots Agentic AI AI agents and non-human identities Model and API security Prompt injection and data leakage AI supply-chain\u002Fmodel risks RAG and vector database security AI data governance and lineage Model access and authorization AI red teaming and adversarial testing AI runtime monitoring 4. Agentic AI & Zero Trust Establish a Zero Trust security model for autonomous AI agents, covering: Identity → Intent → Access → Data → Action → Continuous Validation Key areas include: Non-human identity management Agent authentication and authorization Role\u002Fattribute-based access control Just-in-time and least-privilege access Agent-to-agent communication Tool\u002FAPI access governance Data access and classification Autonomous action controls Human-in-the-loop controls Agent activity monitoring and auditability Dynamic risk-based policy enforcement Blast-radius containment 5. AI Governance & Risk Establish AI security standards, policies and control frameworks. Partner with Legal, Privacy, Risk, Compliance, Data and Enterprise Architecture teams. Develop AI risk assessment and security review processes. Map controls to relevant regulatory and industry frameworks. Define AI security metrics, KRIs and executive dashboards. 6. Cybersecurity Engineering & Transformation Lead architecture and implementation of AI-enabled security platforms. Integrate AI capabilities across existing SOC, SIEM, SOAR, IAM, DLP, EDR, CSPM and GRC ecosystems. Drive automation and reduction of manual security operations. Evaluate emerging cybersecurity AI technologies, startups and platforms. Build internal AI security capabilities where commercial solutions are insufficient. 7. Leadership & Stakeholder Management Lead a team of cybersecurity, AI security, security engineering and data\u002FAI specialists. Partner with CISO, CIO, CTO, Chief Data Officer, Chief AI Officer and business leadership. Present AI security strategy, risk and investment requirements to senior leadership. Develop strategic partnerships with technology vendors, startups and research organizations. Mentor and develop senior cybersecurity and AI talent. Required Experience & Skills Core Cybersecurity 12–15+ years of cybersecurity \u002F information security experience. Strong understanding of security architecture, SOC, IAM, AppSec, Cloud Security, GRC and security engineering. Experience leading enterprise-scale cybersecurity transformation. Strong understanding of Zero Trust principles. AI \u002F ML Strong understanding of: Generative AI LLMs Machine Learning RAG AI agents Agentic workflows AI APIs and orchestration AI security architecture Experience implementing AI\u002FML solutions in cybersecurity. Understanding of AI risks, model security and AI governance. Technical Leadership Ability to translate emerging AI technologies into production-grade cybersecurity capabilities. Experience with cloud platforms and modern security architectures. Understanding of APIs, microservices, containers and DevSecOps. Experience integrating AI with enterprise security platforms. Governance & Risk Knowledge of relevant frameworks such as: NIST Cybersecurity Framework NIST AI RMF Zero Trust Architecture ISO 27001 SOC 2 GDPR \u002F CCPA PCI DSS SOX \u002F ITGC Industry-specific cybersecurity regulations Preferred Qualifications Master’s degree in Cybersecurity, Computer Science, AI, Technology or related discipline. CISSP \u002F CISM \u002F CCSP or equivalent certification. Experience building cybersecurity AI capabilities from the ground up. Experience with AI agents \u002F autonomous security operations. Experience in financial services, technology, fintech or other highly regulated industries. Published research, patents, conference presentations or thought leadership in Cybersecurity\u002FAI is a plus. Experience working with cybersecurity startups and emerging technologies is desirable. Related Skills Collaboration, Continuous Improvement Mindset, Data-Driven Business Intelligence, Data Engineering\u002FAnalytics, Data Visualization, Predictive Modeling, Problem Solving, Programming, Resourcefulness, Statistics, Story Telling _____________________________________________________________________________________________________ Company Overview TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space. Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity. We are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status. Our Culture of Impact At TIAA, we're on a mission to build on our 100+ year legacy of delivering for our clients while evolving to meet tomorrow's challenges. We equip our associates with future-focused skills and AI tools that enable us to advance our mission. Together, we are fighting to ensure a more secure financial future for all and for generations to come. We are guided by our values: Champion Our People, Be Client Obsessed, Lead with Integrity, Own It, and Win As One. They influence every decision we make and how we work together to serve our clients every day. We thrive in a collaborative in-office environment where teams work across organizational boundaries with shared purpose, accelerating innovation and delivering meaningful results. Our workplace brings together TIAA and Nuveen's entrepreneurial spirit, where we work hard and work together to create lasting impact. Here, every associate can grow through meaningful learning experiences and development pathways—because when our people succeed, our impact on clients' lives grows stronger. Accessibility Support TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities. If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team: Phone: (800) 842-2755 Email: accessibility.support@tiaa.org Privacy Notices For Applicants of TIAA, Nuveen and Affiliates residing in US (other than California), click here. For Applicants of TIAA, Nuveen and Affiliates residing in California, please click here. For Applicants of TIAA Global Capabilities, click here. For Applicants of Nuveen residing in Europe and APAC, please click here. TIAA started out over 100 years ago to help ensure teachers could retire with dignity. Today, many people who work at not-for-profits rely on our wide range of financial products and services to support and strengthen their financial well-being. Privacy Notices For Applicants of TIAA, Nuveen and Affiliates residing in US (other than California), click here. For Applicants of TIAA, Nuveen and Affiliates residing in California, please click here. For Applicants of TIAA Global Capabilities, click here. For Applicants of Nuveen residing in Europe and APAC, please click here. Nondiscrimination & Equal Opportunity Employment TIAA is committed to providing equal opportunity across all employment practices and we believe our employees have a right to a diverse and inclusive workplace. 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The Data Analytics job manages multiple teams led by managers or team leaders that gather, analyze, interpret and visualize enterprise wide analytics data, identifying insights that ultimately inform business, customer experience, product development and marketing decisions. This job oversees the development of analysts in both Data Engineering and Business intelligence. This job owns adherence to the development of standards and controls, data quality and assurance, and implementing those standards across the entire team, and in conjunction with business partners in the US.\n\n## Key Responsibilities and Duties\n\n- Enforces policies and procedure in partnership with onshore analytics leaders to ensure consistent, reliable data output - educating and enforcing adherence of standards across the team\n- Consults on the development of new standard operating procedures based on knowledge of existing and emerging analytics principles, theories and techniques to inform business decisions and the operating model\n- Establish systems of controls and Quality Assurance to ensure adherence to data quality and automation in alignment with IT standards.\n- Communicates with leadership on analytics matters to ensure enterprise-wide understanding of their contribution to a mature analytics organization’s success.\n- Perform administrative and support activities including security administration, release management and troubleshooting\n- Perform development activities from gathering requirements and designing solutions, through developing code \u002F reports, to testing and release \u002F deployment\n\n## Educational Requirements\n\nUniversity (Degree) Preferred\n\n## Work Experience\n\n5+ Years Required; 7+ Years Preferred\n\n## Physical Requirements\n\nPhysical Requirements: Sedentary Work\n\n## Career Level\n\n9PL\n\n# Job Description — Associate Director \u002F Head of Cybersecurity AI Position\n\n## Associate Director – Cybersecurity AI \u002F Head of Cybersecurity AI\n\n## Experience\n\n12–15+ years in Cybersecurity, Information Security, AI Security, Security Engineering, or related technology leadership roles.\n\n## Role Overview\n\nWe are looking for a strategic and hands-on Cybersecurity AI leader to define and drive the organization’s strategy for applying Artificial Intelligence and Agentic AI to cybersecurity, while establishing security, governance, and risk controls for AI adoption across the enterprise. The role will lead the development of AI-enabled cybersecurity capabilities, including AI-driven SOC, security automation, threat detection, identity and access intelligence, data security, insider-threat detection, third-party risk, vulnerability management, security engineering, and cyber risk analytics. The leader will also establish a Zero Trust–aligned security framework for AI and autonomous agents, covering non-human identities, intent, access, data usage, model interactions, tool invocation, and autonomous actions.\n\n## Key Responsibilities\n\n1. Cybersecurity AI Strategy\n\nDefine and execute the enterprise Cybersecurity AI strategy and roadmap. Identify high-value cybersecurity use cases for GenAI, ML and Agentic AI. Build business cases, investment roadmaps and measurable ROI for AI-driven security transformation. Establish responsible and secure adoption of AI across Cybersecurity.\n\n2. AI for Cybersecurity\n\nLead AI transformation across:\n\n- AI-enabled SOC and Security Operations\n- Threat detection and investigation\n- Incident response automation\n- Security orchestration and autonomous response\n- Vulnerability and exposure management\n- Identity and access intelligence\n- Insider-threat detection\n- Data Loss Prevention and data classification\n- Third-party \u002F supply-chain cyber risk\n- Threat intelligence\n- Security analytics and cyber-risk dashboards\n- Application and cloud security\n- Security engineering automation\n\n3. Security of AI \u002F AI Security\n\nDefine controls and architecture for securing enterprise AI environments, including:\n\n- GenAI and LLM security\n- AI applications and copilots\n- Agentic AI\n- AI agents and non-human identities\n- Model and API security\n- Prompt injection and data leakage\n- AI supply-chain\u002Fmodel risks\n- RAG and vector database security\n- AI data governance and lineage\n- Model access and authorization\n- AI red teaming and adversarial testing\n- AI runtime monitoring\n\n4. Agentic AI & Zero Trust\n\nEstablish a Zero Trust security model for autonomous AI agents, covering:\n\nIdentity → Intent → Access → Data → Action → Continuous Validation\n\nKey areas include:\n\n- Non-human identity management\n- Agent authentication and authorization\n- Role\u002Fattribute-based access control\n- Just-in-time and least-privilege access\n- Agent-to-agent communication\n- Tool\u002FAPI access governance\n- Data access and classification\n- Autonomous action controls\n- Human-in-the-loop controls\n- Agent activity monitoring and auditability\n- Dynamic risk-based policy enforcement\n- Blast-radius containment\n\n5. AI Governance & Risk\n\nEstablish AI security standards, policies and control frameworks. Partner with Legal, Privacy, Risk, Compliance, Data and Enterprise Architecture teams. Develop AI risk assessment and security review processes. Map controls to relevant regulatory and industry frameworks. Define AI security metrics, KRIs and executive dashboards.\n\n6. Cybersecurity Engineering & Transformation\n\nLead architecture and implementation of AI-enabled security platforms. Integrate AI capabilities across existing SOC, SIEM, SOAR, IAM, DLP, EDR, CSPM and GRC ecosystems. Drive automation and reduction of manual security operations. Evaluate emerging cybersecurity AI technologies, startups and platforms. Build internal AI security capabilities where commercial solutions are insufficient.\n\n7. Leadership & Stakeholder Management\n\nLead a team of cybersecurity, AI security, security engineering and data\u002FAI specialists. Partner with CISO, CIO, CTO, Chief Data Officer, Chief AI Officer and business leadership. Present AI security strategy, risk and investment requirements to senior leadership. Develop strategic partnerships with technology vendors, startups and research organizations. Mentor and develop senior cybersecurity and AI talent.\n\n## Required Experience & Skills\n\n### Core Cybersecurity\n\n12–15+ years of cybersecurity \u002F information security experience. Strong understanding of security architecture, SOC, IAM, AppSec, Cloud Security, GRC and security engineering. Experience leading enterprise-scale cybersecurity transformation. Strong understanding of Zero Trust principles.\n\n### AI \u002F ML\n\nStrong understanding of:\n\n- Generative AI\n- LLMs\n- Machine Learning\n- RAG\n- AI agents\n- Agentic workflows\n- AI APIs and orchestration\n- AI security architecture\n\nExperience implementing AI\u002FML solutions in cybersecurity. Understanding of AI risks, model security and AI governance.\n\n### Technical Leadership\n\nAbility to translate emerging AI technologies into production-grade cybersecurity capabilities. Experience with cloud platforms and modern security architectures. Understanding of APIs, microservices, containers and DevSecOps. Experience integrating AI with enterprise security platforms.\n\n### Governance & Risk\n\nKnowledge of relevant frameworks such as:\n\n- NIST Cybersecurity Framework\n- NIST AI RMF\n- Zero Trust Architecture\n- ISO 27001\n- SOC 2\n- GDPR \u002F CCPA\n- PCI DSS\n- SOX \u002F ITGC\n- Industry-specific cybersecurity regulations\n\n## Preferred Qualifications\n\nMaster’s degree in Cybersecurity, Computer Science, AI, Technology or related discipline. CISSP \u002F CISM \u002F CCSP or equivalent certification. Experience building cybersecurity AI capabilities from the ground up. Experience with AI agents \u002F autonomous security operations. Experience in financial services, technology, fintech or other highly regulated industries. Published research, patents, conference presentations or thought leadership in Cybersecurity\u002FAI is a plus. Experience working with cybersecurity startups and emerging technologies is desirable.\n\n## Related Skills\n\nCollaboration, Continuous Improvement Mindset, Data-Driven Business Intelligence, Data Engineering\u002FAnalytics, Data Visualization, Predictive Modeling, Problem Solving, Programming, Resourcefulness, Statistics, Story Telling\n\n_____________________________________________________________________________________________________\n\n## Company Overview\n\nTIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space. Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.\n\nWe are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status.\n\n## Our Culture of Impact\n\nAt TIAA, we're on a mission to build on our 100+ year legacy of delivering for our clients while evolving to meet tomorrow's challenges. We equip our associates with future-focused skills and AI tools that enable us to advance our mission. Together, we are fighting to ensure a more secure financial future for all and for generations to come.\n\nWe are guided by our values: Champion Our People, Be Client Obsessed, Lead with Integrity, Own It, and Win As One. They influence every decision we make and how we work together to serve our clients every day.\n\nWe thrive in a collaborative in-office environment where teams work across organizational boundaries with shared purpose, accelerating innovation and delivering meaningful results. Our workplace brings together TIAA and Nuveen's entrepreneurial spirit, where we work hard and work together to create lasting impact. Here, every associate can grow through meaningful learning experiences and development pathways—because when our people succeed, our impact on clients' lives grows stronger.\n\n## Accessibility Support\n\nTIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities. If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team:\n\nPhone: (800) 842-2755\n\nEmail: accessibility.support@tiaa.org\n\n## Privacy Notices\n\nFor Applicants of TIAA, Nuveen and Affiliates residing in US (other than California), click here. For Applicants of TIAA, Nuveen and Affiliates residing in California, please click here. For Applicants of TIAA Global Capabilities, click here. For Applicants of Nuveen residing in Europe and APAC, please click here.\n\nTIAA started out over 100 years ago to help ensure teachers could retire with dignity. Today, many people who work at not-for-profits rely on our wide range of financial products and services to support and strengthen their financial well-being.\n\n## Privacy Notices\n\nFor Applicants of TIAA, Nuveen and Affiliates residing in US (other than California), click here. For Applicants of TIAA, Nuveen and Affiliates residing in California, please click here. For Applicants of TIAA Global Capabilities, click here. For Applicants of Nuveen residing in Europe and APAC, please click here.\n\n## Nondiscrimination & Equal Opportunity Employment\n\nTIAA is committed to providing equal opportunity across all employment practices and we believe our employees have a right to a diverse and inclusive workplace.\n\nEEO is the Law\n\nPay Transparency\n\nPhiladelphia Ban the Box",{"dlp":138,"edr":138,"grc":138,"iam":138,"rag":138,"sql":138,"cspm":138,"llms":139,"siem":138,"soar":138,"python":138,"ai apis":138,"devsecops":138,"statistics":138,"generative ai":139,"cloud platforms":138,"machine learning":139,"data visualization":138,"predictive modeling":138},3,4,[39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57],{"collaboration":139,"continuous improvement mindset":139,"problem solving":139,"story telling":138,"resourcefulness":138,"leadership":139,"communication":139,"stakeholder management":139,"mentoring":139},[58,59,60,61,62,63,64,65,66],{"grc":139,"sox":139,"ccpa":139,"gdpr":139,"itgc":139,"soc 2":139,"pci dss":139,"iso 27001":139,"ai security":139,"nist ai rmf":139,"ai governance":139,"cybersecurity":139,"ai red teaming":138,"cloud security":139,"data analytics":138,"model security":139,"soc operations":139,"risk management":139,"data engineering":138,"threat detection":139,"incident response":139,"ai risk assessment":139,"adversarial testing":138,"security automation":139,"application security":139,"data loss prevention":139,"information security":139,"security engineering":139,"business intelligence":138,"regulatory frameworks":139,"security architecture":139,"zero trust architecture":139,"vulnerability management":139,"third-party risk management":139,"nist cybersecurity framework":139,"identity and access management":139},[67,68,69,70,71,72,73,74,75,76,77,78,53,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101],{"detected_language_jobad":146,"required":147},"en",[148],[149],{"language":150,"level":151},"ENGLISH","C1",12,[154,155,156],"Information and Communications Technology Service Managers","Database and Network Professionals","Software and Applications Developers and Analysts",[154,155,156],"https:\u002F\u002Ftiaa.wd1.myworkdayjobs.com\u002Fen-us\u002Fsearch\u002Fjob\u002Fpune-ind\u002Fassociate-director---cyber-security--ai---data-science-_r260900313-1",1]