AI Program Manager

Finance AI Program — Program Manager (Contract)

Role summary: Owns the governance and delivery-integrity function for Finance's AI transformation portfolio — the program leader ensures that solutions are scoped, reviewed, and controlled correctly as they move from intake through production. Partners across Finance, Technology, and Internal Audit to run intake/prioritization, and delivery review for AI solutions.

Core Responsibilities

·  Own intake and prioritization for the Finance AI portfolio — maintaining a scoring rubric and triage cadence, a live backlog/pipeline tracker with status, owner, and stage-gate, returning incomplete requests with specific gaps, and producing decision-ready packets ahead of portfolio review.

·  Lead delivery review for active AI initiatives end-to-end, owning the agenda, pre-reads, and a live issues/escalation log, and surfacing only blocked or at-risk items to leadership rather than full status readouts.

·  Build and maintain a RACI across the full lifecycle — intake, build, policy/legal review, deployment, and post-launch monitoring — with documented stage-gate and approval criteria at each handoff (e.g., what "ready for build" or "ready for policy review" means).

·  Own cross-functional handoffs between Finance PMO, TMO, Legal/Privacy, and Engineering, via a documented handoff protocol so work doesn't stall between teams.

·  Coordinate production launch readiness in partnership with Technology and functional teams — deployment checklists, user communications, training handoff, monitoring activation, and documented business-owner acceptance before go-live.

·  Maintain a single source-of-truth program status rollup on a weekly/biweekly cadence, written for both CFO-level and working-team audiences.

·  Maintain a Confluence space for the program — intake templates, RACI, process maps, and decision log — including an onboarding doc for new use cases entering the pipeline.

What You'll Bring

Required

·  Bachelor's degree in Finance, Accounting, Business, Information Systems, or equivalent practical experience

·  6-10+ years in Finance transformation, program/project management, or technology-enabled process improvement, including direct exposure to AI-enabled or automation initiatives

·  Working knowledge of core Finance processes (P2P, QTC, Accounting close, SOX) sufficient to assess the control and compliance implications of an AI solution

·  Experience running governance, intake/prioritization, or delivery-review processes for a technology or transformation portfolio

·  Track record partnering with Engineering/Technology teams to evaluate and monitor AI or automation solutions in production (accuracy/drift, incidents, access reviews)

·  Strong stakeholder management and written communication skills — able to distill technical and operational detail into concise, decision-ready materials for senior leadership

·  Experience supporting audit, SOX, or compliance forums, including documentation and remediation tracking

Nice-to-Have

·  Master's degree in Finance, Accounting, Business, or a related field

·  Familiarity with production monitoring/observability practices for AI or automated workflows

·  Background in Finance data governance or model-risk frameworks