Transform analytics and data science outputs into scalable, trusted data products that accelerate decision-making and AI adoption across the enterprise at RaceTrac
Requirements
- Strong SQL and data transformation skills with exposure to cloud platforms (Azure, Databricks, Palantir, PowerBI)
- Experience partnering across both IT and business to develop shared logic and standards
- Familiarity with data governance tools and frameworks (e.g., Unity Catalog, Collibra, Alation)
- Experience building Data Quality capabilities and injecting into the data process (e.g. BigEye, Qualytics, etc.)
- Previous experience building a data product function or serving as a data steward
- Strong experience in data modeling, governance, and stakeholder management
- Demonstrated success creating or managing curated data layers, metrics stores, or enterprise reporting logic
Responsibilities
- Lead the Analytics Data Product Lifecycle: Own how data is structured, defined, documented, and maintained to support analytics and data science across the company
- Turn Business Questions into Data Products: Partner with analytics teams and stakeholders to understand their needs, design reusable datasets, and ensure definitions are clear and agreed upon
- Ensure Quality and Trust: Establish and enforce standards for documentation, data validation, and change management so analytics data is consistent and reliable
- Manage the Roadmap: Maintain a living, prioritized view of analytics data products being developed, improved, or retired, ensuring the focus stays on what brings the most value to the business
- Simplify and Standardize: Identify redundant or conflicting datasets and drive efforts to consolidate them into certified, widely-used sources of truth
- Be a Hands-On Leader: Step in directly to review data transformations, validate logic, troubleshoot issues, and guide builds to completion
- Enable Faster Analytics: Work with analytics teams to ensure every data product removes friction, speeds up delivery of insights, and avoids rework across projects
Other
- 10+ years in data, analytics, or business intelligence roles
- Bachelor's or Master’s degree in Business, Analytics, MIS, or a related field
- Ability to navigate ambiguity and influence cross-functional stakeholders to drive alignment and adoption
- Strong facilitation and alignment skills
- Ability to balance stability with flexibility to adjust and expand data products as the business changes
