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Foley

Staff Product Manager, Data & Analytics

Foley

Staff Product Manager owning data platform definition and delivery at Foley. Driving technical requirements and reliable outcomes for a self-service data platform in the US.

Posted 7/23/2026full-timeRemote • Arizona, California, Colorado, Connecticut, Florida, Illinois, Kansas, Maryland, Massachusetts, Missouri, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong technical depth in data architecture and modern data tooling, with a focus on driving platform adoption and enabling self-service intelligence. Capable of defining product roadmaps and managing stakeholder communication effectively.

Highest-signal resume keywords
Data Architecture ConceptsModern Data ToolingTechnical Requirements WritingStakeholder CommunicationOwnership Mindset

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ModelingMetric Layer DefinitionAPI Layer ManagementData Platform OwnershipEngineering Backlog Prioritization
Soft Skills
Strong Written CommunicationStrong Verbal Communication
Tools & Technologies
Amazon NeptuneGraph Data ModelsEntity Resolution Concepts
Industry Keywords
ComplianceRegulatoryData-as-a-Product

About the role

Key responsibilities & impact
  • Own Foley's enterprise data model
  • Drive the medallion architecture from a product definition perspective
  • Own Silver and Gold layer data definitions
  • Prioritize the engineering backlog in partnership with the VP of Engineering
  • Be the primary data platform partner for business stakeholders
  • Own stakeholder communication
  • Maintain a weekly touchpoint with the AI Value Creation Office
  • Own delivery against quarterly KRs
  • Own the product roadmap for Foley's intelligence self-service platform
  • Own the API layer as a product
  • Define and maintain the metric layer
  • Partner with the data analyst and engineering to enable self-service intelligence
  • Drive platform adoption and capability enablement across the organization
  • Own the capabilities and paved paths backlog

Requirements

What you’ll need
  • Strong technical depth in data
  • Deep familiarity with data architecture concepts
  • Hands-on familiarity with modern data tooling
  • 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
  • Ownership mindset
  • Former data engineer or analytics engineer is nice to have
  • Experience in a compliance, regulatory, or data-as-a-product company is nice to have
  • Familiarity with Amazon Neptune, graph data models, or entity resolution concepts is nice to have

Benefits

Comp & perks
  • medical, dental, and vision coverage
  • 401(k) with company match
  • paid time off and holidays
  • wellness programs
  • employee assistance program