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Director Of Data Operations Jobs in Decatur, GA (NOW HIRING)

Director, Data Strategy Role Summary The Director of Data Strategy shapes RaceTrac's enterprise ... This leader ensures that data becomes a strategic asset--fueling revenue growth, operational ...

A healthcare technology organization is seeking a Manager, Payer Operations to oversee the complex ecosystem of payer data integrations impacting patient care. This critical role involves ...

... operations by integrating vehicle data with their other data assets ... Processing billions of data points a day, Geotab leverages data analytics and machine learning to ...

ABOUT THIS POSITION The Data Operations Analyst is responsible for ensuring the accuracy ... If you have 1-2 years of experience in data analytics or accounting, as well as a familiarity with ...

ABOUT THIS POSITION The Data Operations Analyst is responsible for ensuring the accuracy ... If you have 1-2 years of experience in data analytics or accounting, as well as a familiarity with ...

As a Data Operations Developer, your key area of responsibility will be designing, building, and optimizing automated end-to-end data pipelines (ETL/ELT) while ensuring data quality and governance.

The Director of Operations plays a critical role in maintaining Chick-fil-A standards while building a culture focused on growth, teamwork, and operational excellence. Pay Range: Competitive salary ...

Director of Operations

Atlanta, GA · On-site

$22 - $25/hr

The Director of Operations plays a critical role in maintaining Chick-fil-A standards while building a culture focused on growth, teamwork, and operational excellence. Pay Range: Competitive salary ...

Director of Operations

Hampton, GA · On-site

$20 - $25/hr

Opening for a Highly Skilled Director of Operations Are you looking for a dynamic work environment where teamwork and leadership thrive? Do you want to lead a motivated team in a people-focused and ...

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Director Of Data Operations information

See Decatur, GA salary details

$50.6K

$125.2K

$194.8K

How much do director of data operations jobs pay per year?

As of May 29, 2026, the average yearly pay for director of data operations in Decatur, GA is $125,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $159,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Director Of Data Operations, and why are they important?

To thrive as a Director Of Data Operations, you need expertise in data management, analytics, and team leadership, often backed by a degree in computer science, information systems, or a related field. Familiarity with data warehousing solutions, ETL tools, cloud platforms, and industry certifications such as CDMP or PMP is highly beneficial. Strong communication, strategic thinking, and problem-solving skills set successful candidates apart in this leadership role. These skills ensure efficient data operations, drive business insights, and foster collaboration across technical and non-technical teams.

What are the primary challenges faced by a Director of Data Operations, and how can they be addressed?

A Director of Data Operations often encounters challenges such as integrating data from diverse sources, ensuring data quality, and maintaining compliance with data governance standards. To address these, it's important to implement robust data management frameworks, foster collaboration between IT, analytics, and business teams, and stay current with evolving regulations. Building a skilled team and investing in automation tools can also streamline operations and enhance data reliability.

What does a Director of Data Operations do?

A Director of Data Operations is responsible for overseeing the management, quality, and security of an organization's data assets. They lead teams that handle data governance, integration, and analytics, ensuring that data systems support business goals efficiently and securely. This role involves collaborating with IT, analytics, and business departments to develop data strategies, implement best practices, and maintain compliance with regulations. Additionally, they often drive initiatives to improve data accessibility and accuracy across the organization.

What is the difference between Director Of Data Operations vs Data Analyst?

AspectDirector Of Data OperationsData Analyst
Required CredentialsBachelor's or master's in data management, business, or related field; often certifications in data management or analyticsBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel, Tableau, or SQL
Work EnvironmentLeadership role overseeing data teams, strategic planning, and data infrastructure managementAnalyzing data sets, creating reports, and supporting decision-making through data insights
Employer & Industry UsageUsed in corporate, tech, and data-driven organizations to manage data operations at a high levelCommon in various industries for data analysis, reporting, and supporting business functions

The main difference is that the Director Of Data Operations oversees data management strategies and teams, focusing on high-level operations, while a Data Analyst primarily analyzes data to generate insights and reports. The roles complement each other but differ in scope and responsibilities.

What are popular job titles related to Director Of Data Operations jobs in Decatur, GA? For Director Of Data Operations jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Director Of Data Operations jobs in Decatur, GA look for? The top searched job categories for Director Of Data Operations jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Director Of Data Operations jobs? Cities near Decatur, GA with the most Director Of Data Operations job openings:
Infographic showing various Director Of Data Operations job openings in Decatur, GA as of May 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $125,163 per year, or $60.2 per hour.
Director of Data Strategy

Director of Data Strategy

RaceTrac Petroleum, Inc.

Atlanta, GA • On-site

Full-time

Posted 5 days ago


RaceTrac rating

4.8

Company rating: 4.8 out of 10

Based on 191 frontline employees who took The Breakroom Quiz

36th of 47 rated convenience stores


Job description

RaceTrac Company Overview
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
Responsibilities:
Enterprise Data Strategy & Roadmap
  • Define a multi-year data strategy aligned to enterprise goals; establish the portfolio, prioritization model, and investment thesis for data initiatives.
  • Create a scalable data operating model (centralized/Hub-and-Spoke/Federated) with clear ownership (RACI), standards, and funding approach.

Data Governance & Risk
  • Operationalize governance (policies, standards, controls) across privacy, security, lineage, quality, retention, and AI risk.
  • Implement data stewardship and issue management with measurable defect reduction and remediation SLAs.

Data Products & Enablement
  • Lead the definition and lifecycle of high-value data products.
  • Partner with analytics/engineering to define product requirements, success metrics, and adoption plans.
  • Drive data literacy programs and self-service adoption for business stakeholders.

Value Realization & Portfolio Management
  • Build business cases and track ROI on data investments; establish value frameworks (revenue uplift, cost avoidance, risk reduction, cycle-time).
  • Run quarterly portfolio reviews with Finance and BU leaders; rebalance based on outcomes.

Architecture Alignment & Platform Strategy
  • Partner with Enterprise Data on platform roadmaps (data lakehouse/warehouse, MDM, catalog, governance tools, semantic layers, AI/ML platforms).
  • Promote standardized data models and interoperability across domains (e.g., finance, customer, product, operations, HR).

AI/Advanced Analytics Readiness
  • Establish responsible AI guardrails and data readiness for ML/GenAI use cases (access controls, PII handling, provenance, monitoring).
  • Prioritize and incubate analytics/AI use cases with clear problem statements and success criteria.

Change Leadership & Communications
  • Lead exec-level updates, socialize strategy, and align incentives with BU leaders.
  • Develop communication plans for policy changes, new capabilities, and enablement milestones.

Qualifications:
All qualified applicants will receive consideration for employment with RaceTrac without regard to their race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

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