Director, Analytics Data Products & Architecture

RaceTrac-posted 4 months ago
Full-time
Atlanta, GA
5,001-10,000 employees
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The Director of Analytics Data Products & Architecture is a strategic and executional leader within RaceTrac’s Enterprise Strategic Analytics & Data Science (ESADS) team. This role exists to transform analytics and data science outputs into scalable, trusted data products that accelerate decision-making and AI adoption across the enterprise. Reporting to the Head of ESADS, the Director partners with IT, Strategic Analytics Partners (SAPs), and functional leaders to ensure the right data structures, curated logic, and reusable products are in place to power dashboards, models, and automated decisions. This is a builder and partner role—shaping the data product vision, embedding governance, and ensuring every data product earns business trust and delivers measurable value.

  • 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.
  • Meet regularly with analytics partners to capture new data needs and ensure existing data products still meet business expectations.
  • Review logic and transformations in analytics data products to confirm they align with agreed business rules and calculations.
  • Maintain a central inventory of analytics data products with clear purpose, owners, definitions, quality status, and adoption metrics.
  • Facilitate working sessions with stakeholders to resolve data definition disputes and align on key KPIs or calculation methods.
  • Test and validate data products hands-on before release, checking for accuracy, completeness, and usability.
  • Track changes and improvements to data products, making sure updates are communicated, documented, and properly versioned.
  • Lead efforts to retire outdated or low-quality data sets, migrating users to standardized, certified sources.
  • Act as a connector between data producers and analytics users, making sure the data is fit for purpose and available when needed.
  • 10+ years in data, analytics, or business intelligence roles, with strong experience in data modeling, governance, and stakeholder management.
  • Demonstrated success creating or managing curated data layers, metrics stores, or enterprise reporting logic.
  • Experience partnering across both IT and business to develop shared logic and standards.
  • Strong SQL and data transformation skills with exposure to cloud platforms (Azure, Databricks, Palantir, PowerBI).
  • Ability to navigate ambiguity and influence cross-functional stakeholders to drive alignment and adoption.
  • Experience in retail, fuel, convenience, or logistics industries with awareness of how data drives decision-making.
  • 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.
  • Bachelor's or Master’s degree in Business, Analytics, MIS, or a related field.
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