The Security Product Lead – Product Security & AI Security is responsible for defining the strategic direction, roadmap, and measurable outcomes for securing the organization’s product lifecycle and emerging AI/ML initiatives. This role sits within the Security Strategy & Delivery team and partners closely with the Product Security, Engineering, and Data Science/AI functional leaders and operational teams.

This position ensures that Product Security and AI Security capabilities are treated as internal security products—aligned to enterprise risk priorities, supported by a clear roadmap, measured through defined KPIs, and delivered through structured program governance.

The role requires strong cross-functional collaboration, strategic thinking, and the ability to influence without direct authority. By proactively embedding security controls into the product development lifecycle (SDLC) and addressing unique risks associated with AI/ML systems, this role directly supports the organization’s overarching goal of protecting member trust, safeguarding corporate assets, and ensuring the continued stability and growth of the business.

Key Responsibilities

Strategy & Roadmap Stewardship

• Develop and maintain a multi-year strategy and roadmap for Product Security and AI Security capabilities.
• Align roadmap priorities with enterprise risk objectives, regulatory requirements (e.g., data privacy, AI governance), and evolving attack surface.
• Identify capability gaps (e.g., secure coding practices, AI model integrity) and define strategic investment opportunities.
• Translate strategic objectives into structured, sequenced initiatives.
• Lead Security Due Diligence: Own the end-to-end security assessment process for M&A targets, including technical architecture reviews, vulnerability assessments, security program maturity evaluations, and risk quantification
• Develop M&A Security Strategy: Define and continuously improve M&A security playbook, methodologies, and standards to enable rapid, consistent, and thorough security evaluations
• Drive Integration Planning: Partner with target companies and internal teams to design secure integration roadmaps that balance speed-to-value with security requirements
• Manage M&A security assessments and integration roadmaps to design secure integration roadmaps, balancing speed and security

Product & Capability Management

• Define the value proposition and service model for Product Security and AI Security capabilities, including security requirements for all new product features.
• Establish clear capability maturity targets (e.g., DevSecOps integration level, AI risk mitigation completeness) and continuous improvement plans.
• Maintain and prioritize a strategic backlog aligned to measurable risk reduction outcomes (e.g., reduction in critical vulnerabilities, secure-by-design adoption).
• Ensure capabilities are treated as ongoing products with lifecycle ownership, not one-time projects.
• Translate business priorities, AI adoption strategy, and risk signals into a prioritized portfolio
• Partner with engineering and product teams to reduce friction and improve predictability
• Mature Secure SDLC practices and embed automation into CI/CD pipelines
• Define and track outcome-based metrics (risk reduction, adoption, efficiency)

Portfolio & Program Management

• Own the portfolio view of Product Security & AI Security initiatives within the broader security strategy.
• Structure and manage strategic programs required to deliver roadmap objectives (e.g., implementing an AI Red Team program, rolling out a new static analysis tool).
• Define milestones, delivery plans, and success metrics for major initiatives.
• Track progress against portfolio commitments and escalate risks proactively.
• Manage cross-functional dependencies across Engineering, Product Management, Data Science, Legal, and other stakeholders.
• Support quarterly and annual planning cycles, including investment Ensure predictable execu
• tion through structured governance and reporting cadence.

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