Staff Product Manager, Data & Analytics
RemoteUnited States
Job Summary
Own Foley's enterprise data model, entity definitions, and rules governing data across Dynamics, Salesforce, Ordway, PlanHat, and the data warehouse while leading the EDM working group. Drive the medallion architecture from a product definition perspective, defining quality standards, freshness SLAs, and data contracts in partnership with engineering. Prioritize the engineering backlog with the VP of Engineering, making trade-off calls based on full technical understanding. Serve as the primary data platform partner for stakeholders in Growth, Sales, Customer Success, Finance, and Operations, enabling self-service access rather than fulfilling individual requests. Maintain weekly touchpoints with the AI Value Creation Office to align technical work and coordinate governance. Own the product roadmap for the intelligence self-service platform, including the Gold layer, API layer, Chat on Data, and dashboards. Define and maintain the metric layer as the single source of truth for business KPIs across revenue, compliance, and customer health. Track dependencies, surface risks early, and ensure delivery against quarterly KRs. Ramp quickly on Foley's business, customers, user personas, and the regulatory data landscape to make context-informed technical decisions.
Required Qualifications
- Strong technical depth in data
- Deep familiarity with data architecture concepts: medallion architecture, data contracts, entity resolution, CDC, API layer design, and pipeline patterns
- Hands-on familiarity with modern data tooling: dbt, AWS storage solutions (Redshift, S3, Bedrock), graph databases, and pipeline development patterns
- Ability to write precise technical requirements
- Comfort with the self-service / distributed intelligence model
- Strong written and verbal communication
- Demonstrated ability to ramp quickly in a new domain and earn credibility with engineering through knowledge, not just process
- Ownership mindset: accountable for outcomes, not just coordination
- Former data engineer who moved into product management
- Experience building or owning a self-service data platform - API layer, democratized access, paved paths for consumers
- Experience in a compliance, regulatory, or data-as-a-product company where data quality carried real business consequences
- Familiarity with Amazon Neptune, graph data models, or entity resolution concepts
- Experience working at the intersection of data and AI - comfortable with the tight dependency between data strategy and ML/data science
- Experience in a PE-backed, fast-paced environment where priorities shift and resourcefulness matters
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