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.
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
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
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
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
Strong technical depth in data - you have either built data systems yourself or worked closely enough with data engineering teams to own architecture trade-off decisions with confidence
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 - engineers should be able to execute against your specs without follow-up clarification
Comfort with the self-service / distributed intelligence model - you think in platforms and paved paths, not reports and data requests
Strong written and verbal communication - crisp, honest status; no sugarcoating risk; clear writing for both technical and executive audiences
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 or analytics engineer who transitioned 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
At Foley, we’re reimagining how safety-sensitive industries hire, stay compliant, and manage risk. We’ve evolved into a modern SaaS company with an all-in-one, AI-ready platform that helps transportation, construction, distribution, and utility businesses operate faster, smarter, and safer.
As we continue to grow, we’re looking for curious, strategic thinkers who thrive in complexity, are motivated by making an impact, and want to join a team that’s passionate about building great products and supporting customers. Our core values — Teammateship, Grit, and Innovation — guide everything we do. Whether we’re collaborating internally or helping customers, we approach every challenge with optimism, humor, and a shared commitment to success.
Benefits
Foley offers a comprehensive benefits package that includes medical, dental, and vision coverage, a 401(k) with company match, paid time off and holidays, wellness programs, and an employee assistance program.
Equal Employment Opportunity
Foley is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, or any other legally protected characteristic.
Reasonable Accommodations
If you require a reasonable accommodation during the application or interview process, please contact us at [email protected]
Employment Status
Employment with Foley is on an at-will basis. Nothing in this job posting or in future communications should be construed as a contract of employment.
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Privacy Policy: Please see our Applicant Privacy Policy for more information on how Foley processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.
Compensation Range: $160K - $210K
