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Coca-Cola

Senior Director, Data Analytics

Coca-Cola is hiring a Senior Director, Data Analytics in Tokyo, Japan. Level rates it ; you can apply on Coca-Cola.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include AI safety, data analytics and data science.
  • Level classifies it as a lead role.
  • Level lists 253 other open roles at Coca-Cola.

AI in this role

Lead data strategy, advanced analytics, and machine learning capabilities to drive digital transformation for the Japan & South Korea Operating Unit.

ai-safetydata-analyticsdata-sciencemachine-learningstrategyportfolio-management

Job Description Summary:

Senior Director, Data Analytics

Team: Data & Analytics — OU Digital, Japan & South Korea Operating Unit

Reports To: VP, OU Digital, Data & AI Lead

The Coca-Cola Company is evolving into a more digital-first, data-driven enterprise to fuel sustainable growth, increase speed to market, and unlock new sources of value. Rapid advances in technology, data, and AI create a unique opportunity to accelerate The Coca-Cola Company (TCCC) system's next chapter of growth by reimagining our core competitive advantages. Building on a strong foundation of modernized infrastructure, global digital experiences, early data capabilities, and proven use cases, we are now shifting from early wins to scaled, end-to-end impact on growth, productivity, and efficiency.

This next phase moves us from an analog world to a fully digitized one, powered by a digital growth engine that embeds data, technology, and AI into our most critical business domains. Success will require more than technology implementation — it demands a strategic transformation of core capabilities, a domain-based, product-centric operating model, and a cultural shift toward experimentation, data and technology fluency, and seamless partnership between business and digital teams.

Job Description Summary

The Senior Director, Data Analytics leads data strategy and delivery for the Japan & South Korea Operating Unit. The role owns the data and analytics portfolio and demand governance, builds AI, machine learning, and data science capability, drives advanced analytics and modeling, and partners across the Coca-Cola system to deliver measurable business value.

The role leads a team spanning data engineering, data science, data governance and operations, and data product management — delivering local data and analytics products (e.g., vending pricing models, local data pipelines) while rolling out and driving adoption of global data and analytics tools (e.g., Fuelight, OU360, MPM). As JKOU scales AI-enabled decision-making across its growth model, this role builds the data foundation and analytical capability that turn data into decision advantage.

Responsibilities include

  • Own the OU data and analytics strategy, roadmap, and portfolio, aligned with JKOU business priorities and the global data agenda.

  • Lead demand governance and prioritization for data and analytics investments based on business value and feasibility.

  • Build and develop AI, ML, and data science capability within the OU, growing both talent and reusable analytical assets.

  • Drive advanced analytics and modeling that directly inform commercial, marketing, vending, and supply chain decisions.

  • Lead delivery of local data products (e.g., vending pricing model, local data pipeline) and adoption of global data tools (e.g., Fuelight, OU360, MPM).

  • Own the OU data platform architecture and engineering roadmap in partnership with global data teams.

  • Establish data governance, quality, privacy, and responsible AI standards across the OU, embedded in platforms and processes.

  • Lead bottler relations and alignment on data sharing and operationalization, building the system data backbone.

  • Provide people leadership and capability development across the Data & Analytics team.

  • Serve as a senior advisor to OU leadership on data strategy, AI opportunities, and analytics-driven performance.

Organizational Impact

  • Determines how effectively JKOU converts data into decision advantage across its growth agenda.

  • Owns the OU-wide data and analytics portfolio spanning local products and global platform adoption.

  • Leads a multi-disciplinary team and influences bottler and global data ecosystems.

  • Shapes responsible, compliant, and trusted use of data and AI across the OU.

Innovation & Complexity

  • Builds AI and advanced analytics capability that changes how commercial and operational decisions are made.

  • Balances rapid analytical experimentation with scalable, governed data foundations.

  • Navigates complex data-sharing, privacy, and ethical considerations across the system.

  • Champions AI-enabled automation and decision science across business domains.

Communication & Influence

  • Influences OU leadership, bottlers, and global data stakeholders on data strategy and investment.

  • Translates complex analytical concepts into clear business narratives and decisions.

  • Leads governance forums and alignment across business, digital, legal, and privacy stakeholders.

  • Builds trusted partnerships across the Coca-Cola system to enable data collaboration.

Candidate Profile

A senior data and analytics leader with proven experience building data organizations, delivering AI/ML capability at scale, and partnering with commercial leadership to convert analytics into business results. Combines technical depth with executive presence and system-level stakeholder skills.

Experience & Qualifications

  • 12+ years of experience in data, analytics, or AI leadership roles within complex, matrixed organizations.

  • Proven track record building data platforms, analytics portfolios, and data science teams.

  • Deep expertise in modern data architecture, ML/AI applications, and data governance.

  • Experience partnering with commercial functions to deliver measurable business outcomes from analytics.

  • Strong stakeholder leadership across business, technology, and external partners.

  • Business-level English and Japanese required

Skills:

Location(s):

Japan

City/Cities:

Tokyo

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

September 10, 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.

How we rate this

Senior Director, Data Analytics at Coca-Cola rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI SafetyData AnalyticsData ScienceMachine learningStrategyPortfolio Management

Questions you could be asked

  1. How do you think about the risk of an AI system in this kind of role failing silently?
  2. Tell me about a project where data analytics was part of your work. What did you do?
  3. Tell me about a project where data science was part of your work. What did you do?
  4. Tell me about a project where machine learning was part of your work. What did you do?
  5. Tell me about a project where strategy was part of your work. What did you do?

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  • List these exact terms on your resume: AI Safety, Data Analytics, Data Science, Machine learning, and Strategy. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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