Director, Data Solution Owner

The Coca-Cola Company; Atlanta (GA); On-site; USD 164,000 - 193,000; Full time

Job summary

The Coca-Cola Company, located in Atlanta, GA, seeks a Director of Data Solution Ownership to lead scalable analytics and AI-enabled data products that drive business value. You will partner with data engineering, data insights, and business stakeholders across NAOU to design and scale enterprise data products enabling data-driven decisions.

The role requires 10+ years in data/analytics leadership, strong executive communication, and experience delivering data platforms and AI-enabled solutions

Qualifications

• Bachelor’s degree in Business, Computer Science, Information Systems, Engineering, Data Analytics, or a related field.
• 10+ years of progressive experience in product management, product ownership, digital transformation, data, analytics, AI, or technology delivery, including leadership of complex cross-functional initiatives.
• Working knowledge of Microsoft Fabric, Azure, Power BI, Databricks, AI/ML, GenAI, automation, or enterprise data platforms.
• Strong understanding of data platforms, semantic models, reporting, self-service analytics, data governance, data quality, and enterprise metric management.
• Knowledge of SQL and the ability to perform data exploration, analysis, validation, and quality assessment.
• Experience partnering with engineering, architecture, governance, analytics, and business teams to deliver scalable data and technology solutions.
• Strong executive communication, stakeholder management, facilitation, storytelling, and influencing skills.

Responsibilities

• Technical Solution Design & Alignment: shape designs with architecture, engineering, analytics, governance, and business teams.
• Insights and performance: guide product decisions using data models, metrics, and business rules.
• Governance, Quality & Trust: validate mappings, quality, metadata, lineage, and remediation plans.
• Data Validation & Decision Support: use SQL, Power BI, Microsoft Fabric, and cloud data platforms to validate data.
• Innovation, AI & Modernization: embed AI capabilities and automation into data tools and workflows.

Skills

Executive communication

Stakeholder management

Facilitation

Storytelling

Influencing

Leadership

Data analytics

Education

Bachelor’s degree in Business, Computer Science, Information Systems, Engineering, Data Analytics, or a related field

MBA or advanced degree

Tools

Microsoft Fabric

Azure

Power BI

Databricks

AI/ML

GenAI

Automation

Enterprise data platforms

Job description

At The Coca-Cola Company, data is a strategic asset that powers personalized experiences, accelerates decision-making, and enables sustainable growth in a digital-first world. As part of the North America Operating Unit (NAOU) Digital & Data organization, the Data Analytics & Engineering team is responsible for delivering scalable data, analytics, and AI capabilities that empower the business with trusted insights and intelligent decision support.

This Director, Data Solution Owner role is responsible for leading the development, and delivery of scalable analytics and AI-enabled data solutions that advance business priorities and drive measurable outcomes. In this role, you will partner closely with data engineering, data insights, and business stakeholders across NAOU to design, build, and scale enterprise data products that enable data-driven decision-making and deliver business value.

The role translates NAOU data priorities into trusted data products, analytic capabilities, and execution roadmaps. It bridges business strategy and technology delivery by aligning product vision, governance, priorities, and release plans with broader Digital and Data teams.

The ideal candidate brings technical fluency, executive communication, and an enterprise mindset, with the ability to align stakeholders and guide cross-functional teams toward scalable, secure, governed, and outcome-driven solutions.

Core Responsibilities

Data Analytics & AI Technical Product Ownership

• Technical Solution Design & Alignment: Partner with architecture, engineering, analytics, governance, and business teams to shape technical solution designs that meet business needs, align with enterprise standards and platform strategy, and support future-state data capabilities.
• Insights and performance: Apply knowledge of source systems, data architecture, transformation logic, semantic models, reporting layers, KPI definitions, and business rules to guide product decisions and ensure solution design reflects how the business measures performance.
• Governance, Quality & Trust: Validate data mappings, metric logic, quality requirements, metadata, lineage, ownership, and remediation plans to ensure data assets are trusted, compliant, reusable, and governed.
• Data Validation & Decision Support: Use SQL, Power BI, Microsoft Fabric, and cloud data platforms to validate data, analyze patterns, and support product decision-making.
• Innovation, AI & Modernization: Identify and embed AI capabilities and automation into data tools and business workflows to accelerate insight generation and improve decision-making.

Data Solution Strategy, Portfolio Leadership & Value Realization

• Define and communicate data solution vision, strategy, roadmaps, and success measures for a portfolio of data, analytics, AI, and digital products.
• Align data product priorities, investment recommendations, funding decisions, and trade-offs to enterprise strategy, business objectives, user needs, and measurable value opportunities.

Agile Delivery & Cross-Functional Execution

• Oversee STM (source to target mapping) documents and deployment processes to ensure data solutions follow the KO framework, meet governance expectations, and are ready for production release.
• Provide strategic oversight for prioritization, release planning, delivery governance, and cross-team execution.
• Manage scope, dependencies, risks, resources, roadmap commitments, and release readiness.
• Track execution progress, remove barriers, elevate risks, and communicate key decisions, trade-offs, and delivery status to stakeholders and leaders.
• Drive Agile product management practices that keep delivery teams aligned to product strategy, governance requirements, and value outcomes.

Required Qualifications

• Bachelor’s degree in Business, Computer Science, Information Systems, Engineering, Data Analytics, or a related field.
• 10+ years of progressive experience in product management, product ownership, digital transformation, data, analytics, AI, or technology delivery, including leadership of complex cross-functional initiatives.
• Working knowledge of Microsoft Fabric, Azure, Power BI, Databricks, AI/ML, GenAI, automation, or enterprise data platforms.
• Strong understanding of data platforms, semantic models, reporting, self-service analytics, data governance, data quality, and enterprise metric management.
• Knowledge of SQL and the ability to perform data exploration, analysis, validation, and quality assessment.
• Experience partnering with engineering, architecture, governance, analytics, and business teams to deliver scalable data and technology solutions.
• Strong executive communication, stakeholder management, facilitation, storytelling, and influencing skills.

Preferred Qualifications

• MBA or advanced degree.
• Experience building or managing data products
• 5 years of experience in Consumer-Packaged Goods industry
• Product management or Agile certification, such as CSPO, SAFe POPM, Pragmatic, or equivalent

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Agile Methodology, Business Process Modeling, Change Management, Cloud Platform, Communication, Data Flow Diagram, DevOps, Digital Transformation, Enterprise Architecture Framework, Microsoft Azure Databricks, Microsoft Office, User Experience (UX)

Pay Range

United States of America: 164,000 USD - 193,000 USD

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage

30

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

Location(s)

United States of America

City/Cities

Atlanta

Travel Required

00% - 25%

Relocation Provided

No

Job Posting End Date

August 23, 2026

Our Purpose And Growth Culture

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

Pay Range:United States of America: 0 USD - 0 USD

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage:30

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for its role, indicating performance at target.

Long-term Incentive Reference Value Percentage:0 - 20

Long-term Incentive reference value is a market-based competitive value for your role