Archived listing. The details below describe a past opening.
Required Skills & Experience
•• 7+ years of experience in: Data Products, Data Architecture, Analytics Engineering, BI Architecture, Domain Data Leadership
- Experience owning enterprise data assets and KPI frameworks used in production business decisions.
- Strong understanding of:
- Data Lakes / Lakehouses
- Data Grain
- Data Lineage
- Data Quality Rules
- Data Contracts
- Slowly Changing Dimensions (SCDs)
- Identity Resolution
- KPI Composition
- Has personally defined KPIs, business metrics, denominators, exceptions, and calculation logic.
- Experience translating business questions into data products and technical requirements.
- Able to explain a KPI from executive dashboard level all the way to source data fields.
- Experience creating reusable data-product frameworks and standards.
- Strong presenter and communicator with executive stakeholders.
- Able to establish governance, structure, and operating models around data products.
- Data Architect or Analytics Architect background with leadership experience.
- Highly technical and hands-on despite being a strategic leader.
- Uses AI tools daily to: Accelerate discovery, Create KPI trees, Create mapping hypotheses, Draft documentation, Validate definitions, Improve delivery speed Validates AI outputs through sample queries and data analysis.
Nice to Have Skills & Experience
- • Salesforce Data Cloud / Data 360 experience.
- Customer Data Platform (CDP) experience.
- Enterprise Lakehouse experience.
- Manufacturing industry experience.
- HVAC industry experience.
- Distribution or Channel business experience.
- Service Operations experience.
- Supply Chain analytics experience.
- Experience supporting customer insights or channel insights organizations.
- Experience managing large KPI portfolios (50+ KPIs).
- Built enterprise data catalogs.
- Experience defining consumer SLAs, data freshness standards, and quality controls.
- Comfortable challenging business assumptions and rejecting vanity metrics that lack lineage to source data.
Job Description
This is a senior-level Data Product leader supporting our client's Salesforce/Data ecosystem. The person will own the overall strategy, definition, governance, and value delivery of data products and KPI frameworks that power business decisions. They are not building dashboards or maintaining master data. Instead, they define what the data means, how KPIs are calculated, what business problems data products solve, and ensure engineers/modelers build assets that are trusted and usable. Day to Day
- Own data product strategy and roadmap.
- Define enterprise data assets and KPI frameworks.
- Manage and evolve ~50 critical business KPIs.
- Partner with Product Owners to translate business questions into data solutions.
- Create reusable data product standards and frameworks.
- Define data quality, freshness, lineage, and ownership rules.
- Work closely with Data Engineers, Data Modelers, and Analytics Leads.
- Build KPI documentation and data product catalogs.
- Use AI tools to accelerate discovery, documentation, and validation.
- Ensure all data products support measurable business outcomes.