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Senior Data Strategy Jobs in Georgia (NOW HIRING)

Director, Data Strategy Role Summary The Director of Data Strategy shapes RaceTrac's enterprise ... Proven ability to influence senior stakeholders and drive cross‑functional alignment. * Excellent ...

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Overview Our Global Technology & Operations - Business Systems Team is adding two Sr. Data ... data strategy. Role & Responsibilities : * Analyze brand and enterprise data warehouse and ...

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Senior Data Architect

Atlanta, GA · On-site

$150K - $160K/yr

Position Summary The Senior Data Architect is responsible for defining and evolving scalable ... Database and Data Store Strategy · Architect solutions using MySQL, PostgreSQL, MongoDB, and other ...

Senior Data Architect

Atlanta, GA · On-site

$150K - $160K/yr

Senior Data Architect - Build Your Career with Purpose Join Coreforce and use your data architect ... Database and Data Store Strategy * Architect solutions using MySQL, PostgreSQL, MongoDB, and other ...

Senior Data Architect

Atlanta, GA · Hybrid

$64.75 - $86.50/hr

Senior Data Architect - Build Your Career with Purpose JoinCoreforceand use yourdata ... Database and Data Store Strategy * Architect solutions using MySQL, PostgreSQL, MongoDB, and other ...

Strategy & Vision * Define and execute a multi-year data and AI roadmap aligned to our enterprise ... Serve as the executive voice of data, educating senior leadership, and customers on emerging AI ...

A Brief Overview The Senior Data Scientist has an intimate knowledge of business objectives and ... Apply business knowledge and analytical expertise to solve operational and strategic challenges.

A Brief Overview The Senior Data Scientist has an intimate knowledge of business objectives and ... Apply business knowledge and analytical expertise to solve operational and strategic challenges.

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The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Familiarity withGit, branching strategies and repository management withinAzure Repos;

Sr Data Scientist

Atlanta, GA · On-site

$105K/yr

At Hertz, our senior data scientists are responsible developing and defining best practices for ... The role of the incumbent is to work on impactful strategic initiatives and use state of the art ...

Sr Data Scientist

Atlanta, GA · On-site

$105K/yr

At Hertz, our senior data scientists are responsible developing and defining best practices for ... The role of the incumbent is to work on impactful strategic initiatives and use state of the art ...

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Senior Data Strategy information

What does a senior data strategy professional do?

A Senior Data Strategy professional is responsible for developing and overseeing the implementation of data-driven strategies that support an organization's business objectives. They analyze large datasets, identify trends and opportunities, and collaborate with stakeholders to align data initiatives with company goals. Their work also involves ensuring data quality, governance, and compliance, as well as leveraging data to drive innovation and competitive advantage.

What are the key skills and qualifications needed to thrive as a senior data strategy professional?

To thrive as a Senior Data Strategy professional, you need deep expertise in data analytics, business strategy, and data governance, often backed by a degree in a quantitative field and several years of relevant experience. Familiarity with analytics platforms (such as SQL, Python, and Tableau), data management frameworks, and certifications like Certified Data Management Professional (CDMP) are highly valuable. Strong communication, stakeholder management, and strategic thinking skills set top performers apart in this role. These skills are essential for aligning data initiatives with organizational goals and driving data-driven decision-making across the business.

How does a senior data strategy professional typically collaborate with cross-functional teams to drive data initiatives?

As a Senior Data Strategy professional, you will frequently work with cross-functional teams, including data engineers, business analysts, product managers, and executives. Your main responsibility is to align data initiatives with business goals, so you will facilitate communication between technical and non-technical stakeholders, ensuring data solutions are both technically feasible and strategically valuable. This role often involves leading workshops, defining data governance frameworks, and setting priorities for data projects. Effective collaboration and influence are key, as you will help translate complex data insights into actionable strategies for different departments.

What is the difference between Senior Data Strategy vs Data Analyst?

AspectSenior Data StrategyData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data strategyBachelor's in Data, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentStrategic planning, cross-department collaboration, executive communicationData collection, cleaning, analysis, reporting
Employer & Industry UsageTech companies, consulting firms, large enterprisesRetail, finance, healthcare, and other sectors

While both roles involve working with data, Senior Data Strategy focuses on developing overarching data initiatives and aligning them with business goals, whereas Data Analysts primarily analyze data to generate reports and insights. The senior role requires strategic thinking and cross-functional collaboration, while Data Analysts focus on technical data processing and visualization.

What are the most commonly searched types of Data Strategy jobs in Georgia?

The most popular types of Data Strategy jobs in Georgia are:

What are popular job titles related to Senior Data Strategy jobs in Georgia?

For Senior Data Strategy jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Senior Data Strategy jobs?

Cities in Georgia with the most Senior Data Strategy job openings:

Director of Data Strategy

Atlanta, GA


RaceTrac
Retail • 5 - 10K employees

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

Paid breaks


Full-time

Re-posted 28 days ago


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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