Finops Program Manager, AI Enablement

Stripe Stripe · Fintech · India · 4202 BFin - FinOps (SDC)

Stripe is seeking a FinOps Program Manager to drive AI and process improvement initiatives within its FinOps organization. The role involves identifying opportunities, managing projects from discovery to implementation, collaborating with technical teams, and ensuring solutions deliver ROI. The ideal candidate has program management experience, technical literacy in AI tools, and a process improvement mindset.

What you'd actually do

  1. AI Strategy & Scoping: Collaborate with FinOps sub-teams to identify high-impact opportunities for AI and automation. Transform operational challenges into clear, actionable project roadmaps.
  2. End-to-End Project Management: Lead strategic projects from initial discovery through technical implementation and post-launch optimization.
  3. Cross-Functional Collaboration: Partner closely with OE leads and FinSys teams to design and develop scalable solutions. You will ensure that the operational vision is accurately translated into system architecture.
  4. Continuous Improvement: Foster a mindset focused on improvement to simplify and standardize processes before integrating AI capabilities.
  5. Solution Realization: Take ownership of the final stages of implementation. Collaborate with technical teams to ensure the solution effectively addresses the business problem and delivers measurable ROI.

Skills

Required

  • Program Management
  • Process Design
  • AI/Technical Literacy
  • Operational Excellence
  • Strategic Influence
  • Project Lifecycle
  • 4–6 years of experience in Program Management or Strategic Operations
  • Technically savvy
  • Process Improvement Mindset
  • The Bridge: bridging the gap between Finance leads and FinSys engineers
  • Solution Realizer

Nice to have

  • Experience in a Finance, Accounting, or FinOps function
  • Familiarity with financial systems or ERP data (e.g., Oracle, SAP, NetSuite, Workday, Coupa)
  • Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar)
  • Prior experience in an embedded engineering or "data product" role within a business unit

What the JD emphasized

  • AI/Automation can alleviate specific bottlenecks
  • capable of directly working with tools to build/configure solutions rather than solely delegating to engineering
  • build prototypes or initial solutions independently to validate concepts before transitioning them
  • ensure that projects extend beyond the recommendation phase to guarantee the technical solution is adopted and delivers value

Other signals

  • AI strategy and scoping
  • End-to-end project management
  • Cross-functional collaboration
  • Continuous improvement
  • Solution realization