Director of Data Strategy

Director, Data Strategy

Role Summary

The Director of Data Strategy shapes RaceTracââ¬â¢s enterprise-wide vision for how data is governed, managed, activated, and measured. This leader ensures that data becomes a strategic assetââ¬âfueling revenue growth, operational efficiency, regulatory compliance, and exceptional guest experiences. Working across Technology, Analytics, Product, Finance, and Business Units, this role builds the roadmap, operating model, and culture needed to unlock the full value of data at scale.

Key Responsibilities

ââ¬Â¢ Define a multiââ¬âyear enterprise data strategy aligned to business goals, including prioritization models and investment frameworks.

ââ¬Â¢ Build and operationalize a scalable data operating model with clear ownership, standards, and funding structures.

ââ¬Â¢ Lead enterprise data governance across privacy, security, lineage, quality, retention, and AI risk.

ââ¬Â¢ Implement data stewardship, issue management, and measurable defectââ¬âreduction processes.

ââ¬Â¢ Oversee the lifecycle of highââ¬âvalue data products and partner with engineering/analytics to define requirements and success metrics.

ââ¬Â¢ Drive data literacy and selfââ¬âservice adoption across business teams.

ââ¬Â¢ Build business cases and track ROI for data initiatives; lead quarterly portfolio reviews with Finance and BU leaders.

ââ¬Â¢ Align with Enterprise Data Architecture on platform strategy, including lakehouse/warehouse, MDM, catalog, governance tools, and AI/ML platforms.

ââ¬Â¢ Promote standardized data models and interoperability across domains (finance, customer, product, operations, HR).

ââ¬Â¢ Establish responsible AI guardrails and ensure data readiness for ML/GenAI use cases.

ââ¬Â¢ Prioritize and incubate analytics and AI use cases with clear problem statements and measurable outcomes.

ââ¬Â¢ Lead executiveââ¬âlevel communications, socialize strategy, and support change management across the enterprise.

Success Measures (First 3ââ¬â6 and 6ââ¬â12 Months)

3ââ¬â6 Months:

• Deliver an enterprise data strategy and operating model proposal.
• Stand up initial governance processes, including stewardship roles and issueââ¬âmanagement workflows.
• Establish baseline data quality, risk, and valueââ¬âtracking metrics.
• Build strong crossââ¬âfunctional relationships with Technology, Finance, Product, and BU leaders.

6ââ¬â12 Months:

• Launch prioritized data products with defined success metrics and adoption plans.
• Demonstrate measurable improvements in data quality, lineage visibility, and governance compliance.
• Implement valueââ¬ârealization frameworks and complete the first portfolio review cycle.
• Advance AI/analytics readiness, including responsible AI guardrails and prioritized useââ¬âcase incubation.

Required Skills & Experience

ââ¬Â¢ Bachelorââ¬â¢s or Masterââ¬â¢s degree in Data Management, Computer Science, Information Systems, Business, or related field.

ââ¬Â¢ 7+ years of experience in data management, governance, and analytics, including 5+ years in leadership roles.

ââ¬Â¢ Strong understanding of data governance frameworks, data quality practices, and regulatory compliance (GDPR, CCPA).

ââ¬Â¢ Experience with enterprise data platforms, cloud technologies, and data integration tools.

ââ¬Â¢ Proven ability to influence senior stakeholders and drive crossââ¬âfunctional alignment.

ââ¬Â¢ Excellent communication and leadership skills with a track record of building highââ¬âperforming teams.

ââ¬Â¢ Demonstrated ability to build and scale data & analytics organizations or practices.<