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Director Data Analytics Engineer Jobs in Atlanta, GA

Director, Data Strategy Role Summary The Director of Data Strategy shapes RaceTrac's enterprise ... Oversee the lifecycle of high‑value data products and partner with engineering/analytics to ...

JLL is seeking aData Analytics Team Technical Director to join our Real Estate Due Diligence (JREDD ... Assists platform engineers, account personnel, and external clients with daily workflow ...

New

Senior Analytics Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Working closely with Data Engineering, Data Architecture, and the BI team, you will translate ... Mentor Analytics Engineer I / junior engineers, review their code, and set the modeling patterns ...

Sr Analytics Engineer

Atlanta, GA · On-site

$160K - $216K/yr

Partner closely with analytics engineers and data architects to deeply understand the underlying data models in Snowflake and develop a profound understanding of our business domains and data ...

This individual should be able to work across the full analytics lifecycle: sourcing and engineering data, understanding lineage and dependencies, designing curated datasets, applying business logic ...

Manager, Data Analytics

Atlanta, GA · Hybrid

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health ... Partner with engineering and data teams to find solutions to data issues within a complex system ...

Showing results 21-40

Director Data Analytics Engineer information

See Atlanta, GA salary details

$70.2K

$187.2K

$244.3K

How much do director data analytics engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for director data analytics engineer in Atlanta, GA is $187,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,100.00 and $243,300.00 per year, depending on experience, location, and employer.

What does a Director Data Analytics Engineer do?

A Director Data Analytics Engineer oversees the design, development, and implementation of data analytics solutions within an organization. They lead teams of data engineers and analysts, set the vision for data infrastructure, and ensure that data systems effectively support business goals. Their responsibilities include managing data architecture, optimizing data workflows, and collaborating with other departments to translate business needs into technical requirements. Additionally, they are often involved in strategic planning and in establishing best practices for data governance and security.

What are the key skills and qualifications needed to thrive as a Director Data Analytics Engineer?

To thrive as a Director Data Analytics Engineer, you need deep expertise in data engineering, analytics, and strategic leadership, supported by a degree in computer science or a related field and significant industry experience. Proficiency with big data platforms (such as Hadoop and Spark), cloud services (AWS, Azure, or Google Cloud), and advanced analytics tools, along with certifications in data management or analytics, is typically required. Exceptional communication, team leadership, and problem-solving skills help drive cross-functional collaboration and innovation. These skills and qualities are essential for effectively leading analytics initiatives, translating business needs into data solutions, and driving organizational growth through data-driven decision-making.

How does a Director Data Analytics Engineer typically collaborate with cross-functional teams to drive data-driven decision making?

As a Director Data Analytics Engineer, you will regularly collaborate with stakeholders across business units, such as product managers, IT, and executive leadership, to understand their data needs and translate them into actionable analytics solutions. This often involves leading a team of data engineers and analysts, facilitating regular meetings to align on project priorities, and ensuring data infrastructure supports strategic business objectives. Effective communication and the ability to present complex technical findings in a clear, business-friendly manner are essential for fostering a data-driven culture and influencing key decisions.

What is the difference between Director Data Analytics Engineer vs Data Analytics Manager?

AspectDirector Data Analytics EngineerData Analytics Manager
CredentialsBachelor's/Master's in Data Science, Analytics, or related field; often requires leadership experienceBachelor's/Master's in Analytics, Business, or related field; focus on team management
Work EnvironmentStrategic leadership, overseeing analytics projects, collaborating with executivesManaging analytics teams, project execution, reporting to directors or executives
Industry UsageUsed across tech, finance, healthcare, and more for high-level analytics strategyCommon in various industries for managing analytics operations

The Director Data Analytics Engineer focuses on strategic leadership and overseeing analytics engineering initiatives, while the Data Analytics Manager handles day-to-day team management and project execution. Both roles require strong technical backgrounds, but the director position emphasizes strategic planning and cross-department collaboration.

What are the most commonly searched types of Data Analytics Engineer jobs in Atlanta, GA?

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

What cities near Atlanta, GA are hiring for Director Data Analytics Engineer jobs?

Cities near Atlanta, GA with the most Director Data Analytics Engineer job openings:

Infographic showing various Director Data Analytics Engineer 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $187,244 per year, or $90 per hour.

Director of Data Strategy

RaceTrac

Atlanta, GA

Full-time

Re-posted 25 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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