Director, Data Solution Owner

The Coca-Cola Company•Atlanta, GA

1d•$164,000 - $193,000•Onsite

About The Position

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.

Requirements

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.
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.

Nice To Haves

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

Responsibilities

Lead the development and delivery of scalable analytics and AI-enabled data solutions.
Partner with data engineering, data insights, and business stakeholders to design, build, and scale enterprise data products.
Translate NAOU data priorities into trusted data products, analytic capabilities, and execution roadmaps.
Align product vision, governance, priorities, and release plans with broader Digital and Data teams.
Shape technical solution designs that meet business needs, align with enterprise standards and platform strategy, and support future-state data capabilities.
Guide product decisions and ensure solution design reflects how the business measures performance.
Validate data mappings, metric logic, quality requirements, metadata, lineage, ownership, and remediation plans.
Identify and embed AI capabilities and automation into data tools and business workflows.
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.
Oversee STM (source to target mapping) documents and deployment processes.
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, escalate risks, and communicate key decisions, trade-offs, and delivery status to stakeholders and leaders.
Drive Agile product management practices.