Business Data Lead/Data Product Manager
Full-Time · Remote · No Sponsorship
ABOUT THE DOYLE GROUP
The Doyle Group is a proven partner for Placement and Consulting services, headquartered in Denver, CO. Our core mission is to forge genuine partnerships with our clients who seek strategic talent solutions and to assist highly skilled candidates looking for their next career opportunity. With over 30 years of industry experience, our consultative approach allows us to provide a higher level of guidance and insight, empowering our clients to secure top IT talent that fits seamlessly into their team and culture. We look forward to collaborating to help you achieve your career goals.
POSITION SUMMARY
Our client is a nationally recognized nonprofit organization driving research, advocacy, and services in the healthcare space — with a workforce spanning remote employees across the country and a deeply mission-driven culture. They are in the early stages of a major, multi-year technology transformation: building a Unified Data Foundation that will modernize how the organization manages, accesses, and uses data to drive smarter decisions, improve operational efficiency, and enable AI-ready analytics.
This is a brand new role created specifically to lead the business-facing side of that initiative. You won't be writing code or building pipelines — that's handled by an established engineering team. What you will be doing is partnering directly with business stakeholders across the organization to surface data use cases, resolve conflicting definitions, and design a shared semantic layer that makes enterprise data understandable and actionable for everyone.
The ideal candidate is someone who sits comfortably at the intersection of business and technology — fluent enough in data modeling and semantic layer concepts to collaborate with engineers, but effective enough with non-technical stakeholders to facilitate alignment across departments on something as foundational as “what does a constituent actually mean here?” You've done this kind of work before, you can walk in with limited hand-holding, and you're energized by the idea of building something that will shape how an organization uses data for years to come.
This is a full-time, remote position. Core working hours align with Pacific time (7:30 AM PT standup with engineering).
Candidates must be authorized to work in the United States without current or future visa sponsorship.
RESPONSIBILITIES
- Lead the design and evolution of the organization's semantic layer — the business-facing data foundation — defining shared metrics, entities, and relationships across functional areas.
- Partner with business stakeholders across departments to surface data use cases, identify pain points, and translate operational requirements into scalable data models.
- Facilitate cross-functional workshops to align stakeholders on shared business definitions, enterprise KPIs, and data dictionary standards.
- Build and maintain enterprise data dictionaries and data glossaries so that all teams share consistent definitions for critical data elements.
- Own the business layer of the Unified Data Foundation program end-to-end — from use case intake through modeling, adoption, and ongoing governance.
- Collaborate with data engineering and architecture teams to ensure semantic models align with underlying data structures and platform capabilities.
- Reduce reporting inconsistency and conflicting metric definitions by establishing canonical, reusable data assets across the organization.
- Drive self-service analytics adoption by improving data accessibility and building intuitive, business-friendly reporting structures.
- Evaluate and recommend semantic modeling tools and frameworks as the program evolves and business needs mature.
- Manage data assets as products — tracking lifecycle, usability, adoption, and alignment with ongoing business priorities.
- Represent the data office as a knowledge leader in semantic modeling and enterprise data design, defining best practices and guiding cross-functional teams.
- Support decommissioning of legacy data warehouse infrastructure as part of the broader platform modernization program.
MINIMUM EXPERIENCE
- 5+ years of experience in data roles with a focus on semantic layer design, business data modeling, or enterprise analytics enablement.
- Demonstrated ability to design and manage a semantic or business-facing data layer — including dimensional modeling, shared metric frameworks, and reusable reporting structures.
- Proven track record translating business processes and requirements into scalable data models that cross multiple functional areas.
- Strong cross-functional facilitation skills — able to bring together business, analytics, and technology stakeholders and drive consensus on data definitions and priorities.
- Excellent communication skills with the ability to clearly explain data concepts to non-technical audiences without oversimplifying the work.
- Experience with modern data architectures — familiarity with data warehouses, semantic/BI layers, or enterprise data catalog concepts.
- Ability to work independently with minimal direction — this role requires ownership from day one, not step-by-step guidance.
- Bachelor's degree or equivalent professional experience.
- Must be legally authorized to work in the United States without sponsorship now or in the future.
ADDITIONAL PLUS
- Hands-on experience with semantic modeling or BI tools such as dbt, Snowflake, LookML, or similar platforms.
- Familiarity with emerging semantic layer or data mesh tools and approaches.
- SQL skills for ad hoc data exploration and validation.
- Experience working in agile, product-based, or matrixed environments.
- Background in CRM, fundraising, membership, or similar operational data domains.
- Experience in mission-driven, nonprofit, or healthcare-adjacent organizations.
- Exposure to data governance frameworks or standing up data stewardship councils.
SALARY RANGE
$105,000–$120,000 annually
Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, location, and experience, and may fall outside of the range shown.
