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We are seeking a highly organized, outcome-driven Program Manager (PM) to play a foundational role in our newly formed Data group. This role requires program leadership, operating discipline, stakeholder management, and a strong understanding of data delivery in a complex, fast-paced environment. The PM will translate business demand into clear plans, align deliverables to business priorities, and keep cross-functional teams aligned, focused, and moving at pace. Working closely with Data Stewards, Data Quality, Data Architecture, and Data Engineering, the PM will help move data products through the “data machine” with predictability, transparency, and speed. This is a hands-on, high-impact role for a technical PM who thrives in ambiguity, creates order from complexity, and is excited to help shape a new operating model and delivery cadence from the ground up.
Job Responsibility
Own the data program plan: roadmap, milestones, dependencies, risks, and delivery cadence
Partner with the Head of Data to translate business priorities and Consumer demand into an actionable book of work
Drive prioritization across roughly twenty-five platforms and 100–125 data products, balancing value, readiness, complexity, and capacity
Coordinate platform Suppliers, Data Stewards, Data Quality, Data Architecture, and Data Engineering to onboard data products through the ‘data machine’
Monitor progress, SLAs, and blockers, driving issue resolution and escalations to keep delivery on track
Build governance, reporting, and executive communications covering outcomes, resources, budget, and performance
Improve the operating model by increasing throughput, compressing cycle time, and scaling delivery
Requirements
Proven experience managing complex programs or transformation initiatives, ideally within data, technology, financial services, or platform operations
Strong program management discipline: planning, controls, governance, RAID, dependency management, and SteerCo-level reporting
Skilled at translating business priorities into delivery plans across consumer, supplier, and technology teams
Able to coordinate multiple stakeholders and delivery functions in a matrixed environment
Working understanding of data lifecycle concepts: onboarding, cataloging, quality, stewardship, pipelines, and standards
sufficient to coordinate technical teams effectively