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.
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
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.
Skills Required
- Experience recovering troubled projects by identifying root causes and implementing effective solutions
- Ability to manage multiple concurrent cross-functional projects and maintain alignment toward shared goals
- More than 5 years of experience in data management centers of excellence, IT, data utilization, product management, or business planning
- Experience standardizing data definitions or embedding data quality standards across functions
- Experience leading projects connecting management, business owners, frontline managers, and engineers
- Experience building consensus among stakeholders with diverse views and expectations
- Ability to manage stakeholders in both English and Japanese
- Ability to identify company-wide data challenges and create quality, standardization, and adoption roadmaps
- Ability to clarify issues and advance initiatives in uncertain situations
- Ability to build consensus on data definitions and usage rules and implement them with stakeholder support
- Ability to own data rule and mechanism design, 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 management storytelling
- Ability to plan and manage departmental budgets from a business perspective
- End-to-end product or program management experience from strategy formulation through launch
- Track record of delivering quantitative business impact of several hundred million yen or more
- Strong communication skills and experience collaborating with diverse global teams
- Experience managing a team of five or more members
- Experience managing global or multinational teams
- Experience in companies with strong data platforms or data engineering capabilities
- End-to-end experience from production implementation and adoption through KPI improvement
- Experience with 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, machine learning, or large language model solutions to operational or product improvements
- Experience leading development while balancing technical execution with strategic business impact
What We Do
NexusCorp LLC (operating as Nexus Corporation) helps businesses achieve their goals through custom software development, IT consulting, statement-of-work delivery, contingent workforce and direct-hire solutions, and payroll services. It designs, builds, tests, and maintains scalable digital applications; analyzes systems to improve technology use; and supplies specialized professionals and structured project delivery. Its client-first approach emphasizes compliance, integrity, innovation, and tailored business outcomes.
