Manager, Data Product Management - Japan
Coca-Cola is hiring a Manager, Data Product Management - Japan 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.
- The posting mentions product management, data analytics and change management among its tools and skills.
- Level classes it as a mid-level role.
- Coca-Cola has 233 other open roles on Level.
AI in this role
Manage the data and analytics product portfolio and drive adoption of data initiatives for the Japan and South Korea operating unit.
Job Description Summary:
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 Manager, Data Product Management supports the Japan & South Korea Operating Unit (OU) data product portfolio and backlog, driving adoption, usage, and change management for data and analytics products across the Operating Unit.
The role delivers cross-domain analytics initiatives, supports scalable decision science solutions, and champions data-driven decision-making with OU and system partners — ensuring data products are delivered, adopted, and continuously improved.
Responsibilities include
Manage assigned data products and backlog items from definition through delivery and adoption.
Drive adoption, usage, and change management activities, including training, communication, and user support.
Support delivery of cross-domain analytics initiatives in partnership with engineering and data science.
Gather business requirements and user feedback to shape product improvements.
Track product usage, value metrics, and adoption results, reporting progress to leadership.
Champion data-driven decision-making with business users and system partners.
Coordinate day-to-day delivery activities across technical and business stakeholders.
Organizational Impact
Ensures data products reach and are used by the business teams they are built for.
Supports the shift toward data-driven ways of working across the OU.
Innovation & Complexity
Improves adoption approaches and product usability based on user feedback and usage data.
Applies product thinking to analytics delivery.
Communication & Influence
Communicates effectively with business users, technical teams, and partners.
Delivers training and change support that build data confidence in the business.
Experience & Qualifications
5+ years of experience in product management, analytics delivery, business analysis, or related roles.
Experience supporting adoption or change management for digital or data solutions.
Working knowledge of analytics concepts and data platforms.
Strong coordination, communication, and stakeholder skills.
Business-level Japanese and English required.
Skills:
Location(s):
JapanCity/Cities:
TokyoTravel Required:
00% - 25%Relocation Provided:
NoJob Posting End Date:
November 30, 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.
How we rate this
Manager, Data Product Management - Japan 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.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where change management was part of your work. What did you do?
- Tell me about a project where cross functional leadership was part of your work. What did you do?
- Tell me about a project where requirements gathering was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Product Management, Data Analytics, Change Management, Cross Functional Leadership, and Requirements Gathering. 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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