Job Title

• Multi-team, multi-quarter initiatives with significant dependencies and ambiguity Examples include: • New platform capability or shared service rollout (platform, infrastructure, SRE) • AI/ML model lifecycle programs (data pipelines, feature stores, deployment, monitoring) • Reliability and resiliency initiatives (SLOs, incident reduction, scaling, disaster recovery) • Data architecture migration (Data Fabric, governance, lineage, BI tooling) • Internal developer platform improvements (CI/CD, observability, golden paths) • Technical integration for newly acquired or merged companies • Platform migrations and data center decommissioning Program Strategy and Planning • Define program objectives, success metrics, scope boundaries, and sequencing • Build an integrated roadmap across teams and manage the critical path and trade-offs Technical Coordination • Translate business goals into technical milestones and engineering deliverables • Drive integration plans across services, APIs, data contracts, and environments • Ensure non-functional requirements are planned, including reliability, scalability, security, privacy, cost, and observability Execution Leadership • Establish operating cadence across internal and dependent teams (working sessions, project reviews, milestone reviews, launch readiness, go/no-go) • Anticipate bottlenecks and negotiate sequencing and resourcing with engineering leaders • Own RAID management and escalation with clear options and recommendations Release and Operational Readiness • Drive launch plans, cutovers, feature flags, rollback strategies, and runbooks • Partner with SRE and Infrastructure teams