Senior Product Manager

We are looking for a data professional to help lead data management initiatives and organizational growth. The role focuses on transforming data into reliable, usable assets through standardisation, rule design, data governance, and business impact.

Job Responsibilities:

- Drive data management for the AI era by transforming structured, unstructured, and narrative data into AI-ready formats while preserving context.
- Create new best practices in the emerging field of AI-era data management.
- Work with massive data across multiple services.
- Work closely with management and help build the foundation for company-wide decision-making.
- Help standardise data utilization quality across the organization.
- Work in a global, fast-paced environment.
- Proactively identify key issues, evaluate strategic options, and present recommended actions to senior leadership to drive project success.
- Manage multiple concurrent projects cross-functionally and maintain steady progress across teams toward shared goals.
- Standardize data definitions and quality standards company-wide.
- Manage departmental budgets and drive cost optimization.
- Ensure field adoption of standards and rules, including related change management.
- Lead cross-business and cross-department transformation projects.
- Build data management mechanisms and define operational objectives and procedures.
- Develop and implement data governance policies.
- Negotiate and build consensus among stakeholders with different priorities.
- Negotiate directly with Director/Senior Manager-level stakeholders to reach cross-organizational agreement without needing guidance.
- Proactively step into troubled or stuck projects and get them back on track quickly.

### Requirements
The ideal candidate should have the following experience, skills, and qualifications:

- Experience in project recovery, with the ability to identify root cause and implement effective solutions to get projects back on track.
- Ability to manage multiple concurrent projects across teams, ensuring continuous progress and alignment toward common goals.
- More than 5 years of experience in data management CoE, IT, data utilization, product management, or business planning.
- Experience standardising data definitions or embedding quality standards across functions.
- Experience leading projects that connect management, business owners, frontline managers, and engineers.
- Proven experience leading consensus-building by integrating diverse views and expectations.
- Proven ability to manage stakeholders in both English and Japanese, including navigating complex negotiations and building consensus.
- Ability to identify company-wide data challenges and create roadmaps for quality, standardisation, and adoption.
- Ability to clarify issues and move initiatives forward by involving stakeholders, even in uncertain situations.
- Ability to build consensus on data definitions and usage rules and implement them with stakeholder buy-in.
- Ability to own not only rule and mechanism design, but also field adoption and ongoing data quality.
- Ability to explain how data utilization contributes to frontline decisions and business outcomes.
- Ability to balance field coordination with storytelling for management.
- Ability to plan and manage departmental budgets from a business perspective.
- Product/Program Management professionals with end-to-end leadership experience from strategy formulation through launch, and a proven track record of delivering quantitative business impact of several hundred million yen or more.
- Strong communication skills and experience collaborating with diverse, global teams toward shared goals.

Preferred Qualifications:

- Experience managing a team of 5 or more members.
- Experience managing global or multinational teams.
- Experience in companies strong in data platforms or data engineering.
- End-to-end experience from production implementation and adoption to KPI improvement.
- Experience in departmental budget planning and management.
- Practical experience with ontologies, taxonomies, or similar knowledge organization systems.
- Experience in data analysis or design within E-commerce, Internet Services, or Advertising.
- Experience applying AI, ML, or LLM solutions for operational or product improvements.
- Experience leading development, balancing technical execution with strategic business impact.