Director, Data Enablement & Standards
Coca-Cola is hiring a Director, Data Enablement & Standards in Atlanta, United States. It pays $164k-$193k a year and Level rates it ; you can apply on Coca-Cola.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting mentions Databricks among its tools and skills.
- Level classes it as an executive role.
- Coca-Cola has 214 other open roles on Level.
- Posted in the last few days.
AI in this role
Job Description Summary:
Data is increasingly central to how the North America Operating Unit (NAOU) and its bottling partners understand the market, serve customers, improve execution, and make commercial decisions. Realizing that value often requires more than technology, it requires a leader who can connect business priorities, data capabilities, operating processes, and decision-makers across a complex system.
The Director, Data Enablement & Standards will lead high-priority efforts that make data easier to understand, access, connect, and use across NAOU and the North America system. This leader will work across business teams, Bottlers, Data & AI, and enabling functions to identify barriers, shape practical solutions, establish clear ways of working, and move cross-functional priorities from ambiguity to sustained action.
Initial areas of focus are expected to include strengthening how NAOU manages and realizes value from third-party data and advancing shared data standards across the North America system. Over time, the role may take on additional data enablement priorities where stronger coordination, common approaches, and focused leadership can help the system move faster and make better decisions.
Role purpose
Lead strategic data enablement priorities that require coordination across business, technical, and system partners, translating business needs into shared standards, repeatable processes, and clear accountability. The role owns the approach, coordination, and progress on agreed priorities, while business, specialist, and technical teams retain ownership of their data, decisions, and platforms.
Key responsibilities
- Shape the data enablement portfolio. Identify and prioritize opportunities where common approaches, stronger coordination, or focused leadership can unlock business value from data. Establish clear outcomes, roadmaps, decision rights, and measures of progress.
- Turn complex needs into practical action. Translate business challenges into achievable data, process, standards, governance, and operating-model improvements. Develop options, clarify tradeoffs, recommend a path, and move stakeholders toward decisions.
- Build alignment across the North America system. Bring together NAOU, Bottlers, CONA, CCBSS, and enabling functions around shared priorities. Build commitment through business value and practical recommendations.
- Improve how data moves from need to use. Examine the processes through which data is identified, acquired, defined, maintained, accessed, shared, and applied. Resolve unclear handoffs, fragmented ownership, duplication, and other barriers that slow progress.
- Advance shared data standards. Lead priority efforts to align definitions, hierarchies, attributes, mappings, and related ways of working where greater consistency creates meaningful business or technical value.
- Increase the value of external data. Lead and operate how NAOU identifies, acquires, governs, shares, and uses third-party data. Connect business needs, vendor capabilities, contractual rights, costs, access, consumption, and renewal decisions while maintaining appropriate business ownership.
- Enable responsible data access and use. Partner with Legal, Procurement, Privacy, Finance, and technical teams to translate new business, analytical, sharing, and AI use cases into clear requirements and workable decisions.
- Build capabilities that last. Establish practical mechanisms for intake, prioritization, discovery, decision-making, adoption, and follow-through. Use Data & AI tools where they can reduce friction and improve decision support while maintaining human accountability.
Education, Experience, Skills, and Behaviors
- Education. Bachelor's degree in Business, Data & Analytics, Information Systems, Engineering, or a related field, or equivalent experience, required; MBA or advanced degree preferred.
- Relevant experience. 7+ years of relevant experience in data, analytics, data management, or related business roles, including leading cross-functional initiatives, required.
- Data and analytics fluency. Understands datasets, definitions, hierarchies, lineage, quality, and business use. Can connect commercial needs with technical considerations and engage credibly with business and data teams.
- Influence without authority. Builds trust across organizations with different incentives. Makes the case for change, negotiates practical commitments, and secures buy-in rather than relying on escalation or formal authority.
- Decision-oriented leadership. Frames problems, develops options, recommends a path, and helps stakeholders make decisions. Turns agreement into named owners, clear expectations, and follow-through.
- Independent ownership and judgment. Determines what needs to happen next, establishes priorities, anticipates issues, and drives outcomes without detailed direction. Knows when to act, seek input, or escalate.
- Process design and continuous improvement. Can map a process across teams, diagnose root causes, and translate findings into improvements that people can adopt and sustain.
- Vendor and commercial understanding. Experience with vendor relationships, data agreements, or related commercial processes. Can identify requirements and restrictions and work effectively with Legal and Procurement specialists.
- Practical capability building. Comfortable creating structure where it does not yet exist. Starts with a workable approach, tests it, and improves it without overbuilding.
Skills:
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: 164,000 - 193,000 USDBase 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:
30Annual 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 AmericaCity/Cities:
AtlantaTravel Required:
00% - 25%Relocation Provided:
NoJob Posting End Date:
November 20, 2026Our 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.How we rate this
Director, Data Enablement & Standards at Coca-Cola rates 22 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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