Associate Director Cyber Security (AI & 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 organizations 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 / reports to testing and release / 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 / Head of Cybersecurity AI

Position

Associate Director Cybersecurity AI / Head of Cybersecurity AI

Experience

1215 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 organizations 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 Trustaligned 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 / supply-chain cyber risk
• Threat intelligence
• Security analytics and cyber-risk dashboards
• Application and cloud security
• Security engineering automation

3. Security of AI / 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/model 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/attribute-based access control
• Just-in-time and least-privilege access
• Agent-to-agent communication
• Tool/API 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/AI 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

• 1215 years of cybersecurity / 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 / ML

• Strong understanding of:
  • Generative AI
  • LLMs
  • Machine Learning
  • RAG
  • AI agents
  • Agentic workflows
  • AI APIs and orchestration
  • AI security architecture
• Experience implementing AI/ML 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 / CCPA
• PCI DSS
• SOX / ITGC
• Industry-specific cybersecurity regulations

Preferred Qualifications

• Masters degree in Cybersecurity Computer Science AI Technology or related discipline.
• CISSP / CISM / CCSP or equivalent certification.
• Experience building cybersecurity AI capabilities from the ground up.
• Experience with AI agents / autonomous security operations.
• Experience in financial services technology fintech or other highly regulated industries.
• Published research patents conference presentations or thought leadership in Cybersecurity/AI 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/Analytics 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 were on a mission to build on our 100 year legacy of delivering for our clients while evolving to meet tomorrows 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 Nuveens entrepreneurial spirit where we work hard and work together to create lasting impact. Here every associate can grow through meaningful learning experiences and development pathwaysbecause 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:

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