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Director Data Strategy Jobs in Atlanta, GA (NOW HIRING)

RaceTrac

Director of Data Strategy

Atlanta, GA · On-site

Director, Data Strategy Role Summary The Director of Data Strategy shapes RaceTrac's enterprise-wide vision for how data is governed, managed, activated, and measured. This leader ensures that data ...

Coca-Cola

Data Strategist

Atlanta, GA · On-site

$116K - $151K/yr

Support the execution of the enterprise data strategy by translating strategic priorities into ... Ability to collaborate effectively across functions and influence stakeholders without direct ...

Jobtailor

Director - Warranty Data Governance

Atlanta, GA · On-site

$120 - $160/hr

Oversee the Warranty data operations and business intelligence strategy for a high transactional business unit within the General Insurance business unit at AIG. * Make recommendations to bring about ...

ATech Placement

Director of AI and Data

Atlanta, GA · On-site

Director Of Ai And Data We are seeking a Director of AI and Data to join our data team as part of ... This is not a purely strategic seat: the team's current data environment is early stage, and this ...

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See Atlanta, GA salary details

$51.9K

$148.9K

$234.6K

How much do director data strategy jobs pay per year?

As of Aug 21, 2026, the average yearly pay for director data strategy in Atlanta, GA is $148,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,800.00 and $182,200.00 per year, depending on experience, location, and employer.

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The most popular types of Data Strategy jobs in Atlanta, GA are:

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Infographic showing various Director Data Strategy job openings in Atlanta, GA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $148,935 per year, or $71.6 per hour.

Director of Data Strategy

RaceTrac

Atlanta, GA • On-site

Full-time

Re-posted 24 days ago

RaceTrac rating

4.6

Company rating: 4.6 out of 10

Based on 199 frontline employees who took The Breakroom Quiz

38th of 47 rated convenience stores

Job description

Director, Data Strategy

Role Summary

The Director of Data Strategy shapes RaceTrac’s enterprise-wide vision for how data is governed, managed, activated, and measured. This leader ensures that data becomes a strategic asset—fueling 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
• Define a multi‑year enterprise data strategy aligned to business goals, including prioritization models and investment frameworks.
• Build and operationalize a scalable data operating model with clear ownership, standards, and funding structures.
• Lead enterprise data governance across privacy, security, lineage, quality, retention, and AI risk.
• Implement data stewardship, issue management, and measurable defect‑reduction processes.
• Oversee the lifecycle of high‑value data products and partner with engineering/analytics to define requirements and success metrics.
• Drive data literacy and self‑service adoption across business teams.
• Build business cases and track ROI for data initiatives; lead quarterly portfolio reviews with Finance and BU leaders.
• Align with Enterprise Data Architecture on platform strategy, including lakehouse/warehouse, MDM, catalog, governance tools, and AI/ML platforms.
• Promote standardized data models and interoperability across domains (finance, customer, product, operations, HR).
• Establish responsible AI guardrails and ensure data readiness for ML/GenAI use cases.
• Prioritize and incubate analytics and AI use cases with clear problem statements and measurable outcomes.
• Lead executive‑level communications, socialize strategy, and support change management across the enterprise.

Success Measures (First 3–6 and 6–12 Months)

3–6 Months:

  • Deliver an enterprise data strategy and operating model proposal.
  • Stand up initial governance processes, including stewardship roles and issue‑management workflows.
  • Establish baseline data quality, risk, and value‑tracking metrics.
  • Build strong cross‑functional relationships with Technology, Finance, Product, and BU leaders.

6–12 Months:

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

Required Skills & Experience

• Bachelor’s or Master’s degree in Data Management, Computer Science, Information Systems, Business, or related field.
• 7+ years of experience in data management, governance, and analytics, including 5+ years in leadership roles.
• Strong understanding of data governance frameworks, data quality practices, and regulatory compliance (GDPR, CCPA).
• Experience with enterprise data platforms, cloud technologies, and data integration tools.
• Proven ability to influence senior stakeholders and drive cross‑functional alignment.
• Excellent communication and leadership skills with a track record of building high‑performing teams.
• Demonstrated ability to build and scale data & analytics organizations or practices.
• Experience implementing enterprise data governance processes (privacy, MDM, access rights, data integrity).
• Experience procuring and integrating third‑party data sources.
 

Preferred Skills

• Experience with BI and analytics tools such as Power BI, Tableau, or Looker.
• Familiarity with distributed data strategies and modern cloud storage technologies.
• Strong written and verbal communication skills with the ability to simplify complex concepts.
• Proven ability to build performance metrics for analytics models and digital properties.
 

Who You’ll Work With

• Reports to: Executive Director
• Works closely with: Technology, Analytics, Product, Finance, and Business Unit leadership teams
• Part of a team that values collaboration, communication, and doing what’s right for the guest

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