About the role
We are seeking a proactive Program Manager to lead the planning, coordination, and delivery governance of Model Risk Management s model lifecycle program. The role has scope to take on broader program management responsibilities across the Firm Risk Management AI Fleet as priorities evolve. The successful candidate will combine strong project management skills with excellent communication and stakeholder engagement. Working closely with Fleet leads, Product Owners, Scrum Masters, and subject matter experts, the Program Manager will bring structure, transparency, and momentum to a complex, cross functional program. This is an active delivery leadership role not a status-reporting-only position. It complements Product Owner and Scrum Master responsibilities; model risk decisions and approvals remain with the accountable business and control owners.
Key responsibilities
Own and maintain the integrated program plan across model lifecycle workstreams, including scope, milestones, dependencies, delivery commitments, and critical-path activities.
Proactively work with Fleet leads, Product Owners, Scrum Masters, subject matter experts, engineering teams, and business stakeholders to align priorities, clarify ownership, and keep delivery moving.
Translate agreed program outcomes into coordinated delivery plans with measurable milestones and clear acceptance and readiness criteria, partnering with Product Owners and delivery teams.
Identify and manage cross-team risks, issues, assumptions, and dependencies. Follow up on actions, drive resolution, and escalate early with practical options and recommendations.
Prepare clear, concise executive updates, steering committee materials, delivery dashboards, and decision papers. Communicate progress, tradeoffs, blockers, and decisions needed without surprises.
Facilitate planning, governance, and working sessions; capture decisions, owners, and due dates, and actively follow through to closure.
Coordinate with subject matter experts on model lifecycle requirements, governance checkpoints, documentation, and evidence needed for agreed reviews and delivery gates.
Manage changes to scope, priorities, and timelines through transparent impact assessment and stakeholder agreement. Support capacity planning, resource forecasts, and vendor coordination as needed.
Coordinate testing, business readiness, release dependencies, stakeholder communications, and adoption activities with the accountable teams; track outcomes after delivery.
Establish reusable program-management practices and reporting that can scale from the Model Risk Management model lifecycle program to additional FRM AI Fleet initiatives.
Required skills and experience
Demonstrated program and project management experience delivering complex technology or business transformation initiatives across multiple teams and stakeholders.
Strong planning and execution skills, including scope management, milestone tracking, dependency management, risk and issue management, change control, and delivery governance.
Excellent written and verbal communication: able to synthesize complex information, tailor messages to technical and business audiences, and produce decision-ready executive updates.
A proactive, hands-on working style: anticipates problems, seeks clarity, drives follow-ups, challenges constructively, and takes ownership of coordinating resolution rather than only reporting status.
Strong stakeholder management and influencing skills, including the ability to align Fleet leads, Product Owners, Scrum Masters, subject matter experts, and delivery teams without direct reporting authority.
Working knowledge of Agile delivery and experience coordinating delivery across Scrum teams while maintaining a coherent program-level plan and governance cadence.
Ability to understand business processes, technology dependencies, and governance requirements, and translate them into practical delivery plans with clear accountabilities.
Experience with delivery and collaboration tools such as Jira, Confluence, Microsoft Project, Excel, PowerPoint, or comparable platforms.
Highly desirable
Experience in Model Risk Management, model lifecycle transformation, or model governance, including familiarity with model inventory, development, validation, approval, monitoring, and retirement processes.
Experience in financial services or broader risk management, including credit risk, market risk, or enterprise risk technology programs.
Experience coordinating AI, GenAI, agentic AI, data, or model-platform initiatives in a governed enterprise environment; awareness of evaluation, data controls, observability, and human oversight.
Experience supporting regulatory, audit, or control-related commitments and maintaining traceable decisions and delivery evidence.
Relevant program/project management or Agile certifications, such as PMP, PRINCE2, or equivalent; practical delivery experience is more important than certification alone.
What success looks like
A credible, current integrated plan with clear ownership, visible dependencies, and predictable milestone execution.
Timely decisions and early resolution or escalation of delivery risks, with stakeholders aligned and no avoidable surprises.
Concise, reliable program reporting and effective coordination across model lifecycle workstreams, with practices that scale to the wider FRM AI Fleet.
