Security Product Lead – Enterprise & Identity Security

Role Overview

The Security Product Lead Enterprise & Identity Security is responsible for defining the strategic direction roadmap and measurable outcomes for securing the organizations enterprise infrastructure critical internal systems and user identities. This role sits within the Security Strategy & Delivery team and partners closely with the Identity & Access Management (IAM) Infrastructure Security and Engineering functional leaders and operational teams.

This position ensures that Enterprise Security and Identity Security capabilities are treated as internal security productsaligned 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 ensuring robust identity governance and securing enterprise infrastructure this role directly supports the organizations 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 Enterprise Security Identity Security (IAM PAM Authentication) and AI Security capabilities.
• Align roadmap priorities with enterprise risk objectives regulatory requirements (e.g. access controls data governance AI governance) and evolving threat landscape.
• Identify capability gaps (e.g. zero-trust adoption privileged access maturity AI model integrity) and define strategic investment opportunities.
• Translate strategic objectives into structured sequenced initiatives.

Product & Capability Management

• Enterprise Security

• Define the value proposition and service model for Enterprise Security capabilities (e.g. infrastructure hardening cloud security posture).
• Add aspects of data security under enterprise security: Establish product requirements and roadmaps for Data Security capabilities including data loss prevention (DLP) data classification data encryption and ensuring compliance with data privacy regulations.

• Identity Management
• Define the value proposition and service model for Identity Management capabilities (e.g. self-service access least privilege principle lifecycle management).
• Establish clear capability maturity targets (e.g. IAM coverage access certification completeness) and continuous improvement plans.
• Maintain and prioritize a strategic backlog across all areas aligned to measurable risk reduction outcomes (e.g. reduction in over-privileged accounts faster access revocation secure-by-design adoption in AI).
• Ensure capabilities are treated as ongoing products with lifecycle ownership not one-time projects.
• Define and track outcome-based metrics (risk reduction adoption efficiency) for core security platforms and identity controls.

Portfolio & Program Management

• Own the portfolio view of Enterprise Identity and AI Security initiatives within the broader security strategy.
• Structure and manage strategic programs required to deliver roadmap objectives (e.g. rollout of new PAM solution AI Model SecOps integration).
• 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 IT HR Legal and other stakeholders.
• Ensure predictable execution through structured governance and reporting cadence.

Cross-Functional Collaboration

• Partner closely with the Identity & Access Management Infrastructure Security and AI/ML functional leaders to align on priorities and execution sequencing.
• Collaborate with Product Management Engineering Data Science Legal Risk and Compliance stakeholders.
• Facilitate stakeholder alignment trade-off decisions and expectation management.
• Influence without direct authority to drive security principles across enterprise systems.

Continuous Improvement & Innovation

• Monitor industry trends in enterprise architecture security identity threats (e.g. phishing credential stuffing) and AI-specific threats (e.g. model poisoning prompt injection).
• Identify opportunities for automation analytics enhancement and process optimization within identity lifecycles and infrastructure monitoring.
• Incorporate lessons learned from security audits and penetration tests into roadmap evolution.

Qualifications

• Bachelors degree in Computer Science Cybersecurity or related discipline.
• 7 years of experience in cybersecurity risk management or technology strategy roles.
• Demonstrated experience in Identity & Access Management (IAM) Privileged Access Management (PAM) Enterprise Security Data Security or AI/ML Security domains.
• Demonstrated experience building and managing strategic roadmaps tied to measurable outcomes.
• Strong understanding of security frameworks identity protocols (e.g. OAuth SAML SCIM) and enterprise risk.
• Understanding of AI/ML concepts and associated security risks including data provenance model integrity and adversarial machine learning.
• Strong product mindset with ability to translate strategy into execution.
• Experience working in matrixed organizations with cross-functional stakeholders.
• Strong analytical communication and executive presentation skills.