Manager, Data Program Management

Manager, Data Program Management

Job Location s: US-Remote

The Manager, Data Program Management leads delivery of the enterprise Data & Analytics portfolio and scales execution through a small team of program/project managers and/or Product Owners. Reporting to the Chief Data Officer, this role is accountable for predictable delivery, stakeholder alignment, and governance of complex cross‑functional initiatives—especially in a regulated Fin Tech environment where controls, audit readiness, privacy, and risk management are essential.

This leader ensures the CDO strategy translates into sequenced roadmaps, funded programs, integrated plans, managed dependencies, and measurable outcomes across core priorities including data quality, governance, and AI/ML enablement.

• Manages and carries out personnel actions for direct reports, including hiring, scheduling, training, evaluating, coaching, performance management, and salary/merit recommendations.
• Owns and drives execution of the enterprise data portfolio across concurrent initiatives spanning platform, quality, governance, analytics, and AI/ML enablement.
• Develops and maintains multi‑year roadmaps, annual plans, and quarterly execution commitments aligned to business strategy and capacity.
• Establishes clear program charters, scope, milestones, dependencies, and outcome measures, ensuring delivery accountability across teams and traceable, audit‑ready documentation.
• Identifies delivery risk early; removes blockers, drives decisions, and ensures timely escalations with recommended options and trade‑offs.
• Tracks and reports program health (status, milestones, risks, dependencies, financials) to the CDO and executive stakeholders.
• Embeds governance and controls into delivery processes (privacy, security, retention, access controls, lineage, approvals, audit artifacts) in partnership with Risk, Compliance, Info Sec, Legal, and Data Governance teams to meet regulatory and internal control requirements.
• Establishes and continuously improves the data delivery operating model: intake, prioritization, planning, cadence, reporting, and portfolio transparency and predictability through capacity planning and dependency management.
• Standardizes program rituals and tooling (RAID logs, integrated plans, steering committees, decision logs, dashboards) and drives consistent delivery practices across agile, hybrid, and waterfall initiatives.
• Leads program delivery and cross‑functional coordination of AI/ML enabling data initiatives, ensuring data readiness for model development, deployment, and scaling, partnering closely with Data Science, Data Engineering, Platform, Product, Risk, and Compliance teams.
• Owns execution of AI/ML foundational programs such as training data pipelines, curated model‑ready datasets, data labeling/annotation initiatives, feature store enablement, and model monitoring foundations, ensuring alignment with corporate and regulatory expectations.
• Establishes and operationalizes a repeatable AI/ML enablement playbook (intake, data readiness, delivery phases, controls/gates, launch readiness).
• Serves as a strategic execution partner to the CDO, translating strategy into actionable plans and measurable outcomes and facilitating alignment across data, technology, and business leaders; drives decisions when priorities compete.
• Occasional travel may be required to attend training or meetings.

• Bachelor’s degree in Business, Computer Science, Engineering, or related discipline or equivalent experience.
• PMP/PgMP/SAFe/Agile certifications preferred.
• 8+ years of program/portfolio management experience delivering complex cross‑functional initiatives.
• 3+ years of direct people management experience (performance management, coaching, hiring support).
• Demonstrated experience delivering data, analytics, or platform programs in regulated or high‑risk environments.
• Strong executive communication skills and ability to influence.
• Experience in Fin Tech, Financial Services, or similarly regulated industries.
• Familiarity with data governance, data quality, metadata/lineage, and controls‑based operating models.
• Experience enabling AI/ML delivery…