Staff Product Manager, Data & Analytics

We are looking for a Staff Product Manager to own Foley's data platform definition and delivery. Data strategy is set at the executive level - this role translates that direction into precise technical requirements, a well-prioritized engineering backlog, and reliable outcomes. You are the bridge between business needs and engineering execution, and you go deep enough on the stack to be a credible peer to the engineers you work with. The platform model is self-service and distributed. Data access, API access, and intelligence surfaces are democratized - the PM's job is to define and prioritize the capabilities that enable teams to self-serve, not to gate data through a centralized BI function. The backlog is capabilities and paved paths, not reports and data requests. The ideal background is a former data engineer who moved into product management. Technical depth is a requirement - this person needs to own architecture trade-off decisions, write sharp data requirements, and earn engineering trust through knowledge, not just process. WHAT YOU'LL DO DATA PLATFORM DEFINITION & TECH STACK OWNERSHIP - Own Foley's enterprise data model - the data dictionary, entity definitions, and the rules that govern how data is structured and trusted across Dynamics, Salesforce, Ordway, PlanHat, and the data warehouse (including leading the EDM working group) - Drive the medallion architecture (Bronze to Silver to Gold) from a product definition perspective - defining quality standards, freshness SLAs, and data contracts in close partnership with engineering - Own Silver and Gold layer data definitions - what the data means, and how it can be consumed by applications, agents, and self-service users - Prioritize the engineering backlog in partnership with the VP of Engineering - making trade-off calls with full understanding of technical implications STAKEHOLDER ALIGNMENT & DELIVERY - Be the primary data platform partner for business stakeholders across Growth, Sales, Customer Success, Finance, and Operations - enabling self-service access rather than fulfilling individual data requests - Own stakeholder communication: proactive status, and crisp escalation of blockers - Maintain a weekly touchpoint with the AI Value Creation Office (VCO) - alignment between data platform and AI/data science needs must be exceptionally tight; the AI VCO owns governance and enablement, and this role co-ordinates the technical work that supports it - Own delivery against quarterly KRs - track dependencies, surface risks early, and keep work moving across engineering, the analyst, and the AI VCO org INTELLIGENCE SELF-SERVICE PLATFORM & API LAYER - Own the product roadmap for Foley's intelligence self-service platform - the Gold layer as an open consumption surface, the API layer, Chat on Data, dashboards, and paved paths for self-service access - Own the API layer as a product - defining what programmatic access looks like, how it is governed, and how applications and downstream services consume the Gold layer - Define and maintain the metric layer: conformed metric definitions that serve as the single source of truth for business KPIs across revenue, compliance, and customer health - Partner with the data analyst and engineering to enable self-service intelligence - the goal is democratized access, not a centrally managed BI function - Drive platform adoption and capability enablement across the organization; identify gaps in paved paths and self-service coverage PLATFORM ROADMAP - Own the capabilities and paved paths backlog - the roadmap is platform capabilities, self-service enablement, and infrastructure that unlocks access, not individual reports or data requests - Anticipate blockers before they become misses - not after - Ramp quickly on Foley's business, customers, user personas, and the regulatory data landscape (FMCSA, DOT compliance, driver qualification) to make context-informed technical decisions WHO YOU ARE - Strong technical depth in data - you ha…