About this role
Job Responsibilities:
- Lead end-to-end delivery of complex, multi-team IAM initiatives with clear scope, milestones, budgets, and measurable outcomes.
- Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, RAID, and executive-ready updates), validating outputs and handling data according to sensitivity requirements.
- Partner with Product and Delivery teams to assure the translation of requirements into product and engineering roadmaps; prioritize to deliver predictable, high-impact results.
- Identify, assess, and facilitate the mitigation of delivery risks.
- Establish program governance and execution rigor (RAID management, dependency mapping, steering forums, escalation paths, decision logs etc.).
- Ensure IAM programs are delivered with regulatory and policy adherence through embedding compliance-by-design, privacy-by-design, and least-privilege principles.
- Apply technical depth to resolve delivery trade-offs, and de-risk delivery.
- Manage resources, and vendor/partner performance; optimize capacity across internal teams and third parties.
- Build and sustain strong stakeholder relationships and executive communications; provide transparent dashboards on roadmap progress, risk posture, and value realization.
- Lead organizational change management—readiness, training, adoption—and drive continuous improvement through process, tooling, and automation.
- Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards.
Required qualifications, capabilities, and skills
- 5 + years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a large organization
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support program management workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling expectations.
- Advanced expertise in stakeholder management, with the ability to establish productive working relationships and influence decision-making across cross-functional teams and clients
- Advanced experience in utilizing technical fluency, including knowledge of vendor products and managing vendor relations, to enable and enhance shared pools of applications and services
- Proven track record of effectively managing resources, budgets, and high-performing teams in a fast-paced, agile environment
- Demonstrated proficiency in applying analytical reasoning and problem-solving techniques to break down business, technical, or operational objectives into manageable tasks and activities
- Technology control management or information security experience with emphasis on control assessment, mitigation, and control design/effectiveness.
- Program delivery experience in the Identity and Access Management (IAM) domain.
- Executive communication: ability to translate Program Risk into business terms for senior leaders and inform strategic decisions.
Preferred qualifications, capabilities, and skills
- Practical experience with public cloud services and controls (e.g., IAM, identity federation, RBAC, secrets management).
- Hands-on experience in Identity and Access Management, including privileged access management concepts and tooling.
- Experience operating in highly regulated industries, applying standards and best practices.
- Demonstrated understanding of how to leverage emerging AI technologies and tools to aid in the efficient delivery across a programs lifecycle.