Enterprise Data Products & Solutions Director
$197–$225,000 year
RemoteNew York, United States or Texas, United States
Job Summary
Own the enterprise data product vision, strategy, and multi-year roadmap, making hard prioritization calls on resource allocation for the entire data domain. Lead the transition from project-based delivery to a governed, productized data foundation with clear owners and single sources of truth. Define operating models, standards, and prioritization frameworks to scale delivery predictably across Product, Engineering, and Data Science teams. Serve as the executive and Board-facing authority on data, representing the function in leadership reviews and planning. Establish enterprise data governance frameworks covering classification, quality standards, lineage, and access controls while driving adoption of AI tools for profiling and documentation. Own third-party and market data sourcing, licensing, and integration. Build organizational capability through self-service enablement, training, and mentorship of PMs and engineers. Report progress tied to measurable business outcomes, adoption, and quality improvements to senior leadership.
Required Qualifications
- Bachelor's degree in business, finance, computer science, data science, or related technical field
- 10+ years in data product, platform, or data strategy roles, including demonstrated ownership of an enterprise data area or portfolio with accountability for measurable business outcomes
Desired Qualifications
- Advanced degree (MBA or technical master's in CS, data science, or engineering)
- Financial Services Domain (strongly preferred) — experience with trading data, market data, regulatory reporting, or financial services compliance requirements
- Demonstrated experience owning and leading a data domain end to end — setting strategy, driving cross-functional and executive alignment, and delivering organizational change at scale
- Experience leading the productization of data or building an enterprise data function in a large, matrixed, or regulated environment preferred
- Advanced proficiency in SQL and hands-on experience with modern data platforms (Databricks, Snowflake, or equivalent) preferred
- Proven track record implementing enterprise data governance and quality frameworks in production environments preferred
- Experience designing semantic layers, metrics frameworks, or business-friendly data models at enterprise scale preferred
- Experience defining data product value/monetization models or managing third-party and market data sourcing and licensing preferred
- Strong Python skills for data engineering, scripting, and automation preferred
- Experience leveraging AI/LLMs for data quality, documentation automation, or pipeline optimization preferred
- Experience with data governance tools (data catalogs, lineage tracking, quality monitoring platforms) preferred
- Familiarity with data visualization and BI tools (Tableau, Power BI, Looker, Sigma) preferred
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.