AI Value Engineering Manager
Skillhouse ·www.skillhouse.co.jp
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One of Japan’s leading energy groups is looking for a talented AI Value Engineering Manager to lead the creation of measurable business value through AI and data.
Responsibilities:
- Lead and manage a portfolio of AI and data-driven transformation projects.
- Identify business challenges that can be addressed through AI, Generative AI, Machine Learning, and data solutions.
- Develop business cases, expected benefits, KPIs, and project priorities.
- Manage project pipelines, resources, schedules, risks, dependencies, and business outcomes.
- Drive AI initiatives from concept and proof of value through production implementation, adoption, and value realization.
- Support and operate the company-wide AI Center of Excellence (AI CoE).
- Coordinate AI programs across multiple business divisions and group companies.
- Evaluate both the business viability and technical feasibility of proposed AI initiatives.
- Work with technical teams to assess data requirements, architecture, implementation difficulties, cost, and risk.
- Provide management reporting and decision support on AI investment priorities and project performance.
- Build consensus across business, management, and technical stakeholders.
- Promote continuous improvement and agile validation of AI use cases.
Required Skills:
- Bachelor’s degree or equivalent professional experience.
- 8+ years of project management experience, including project formation, KPI definition, project delivery, and stakeholder management.
- Strong understanding of AI and data technologies, including Machine Learning, Generative AI, Data platforms / data infrastructure, and Application & system integration
- Ability to discuss AI architecture, technical feasibility, data requirements, implementation complexity, and risk with technical teams and external specialists.
- Strong experience in cross-functional stakeholder management, facilitation, and consensus building.
- Ability to communicate effectively with senior management and translate business challenges into actionable AI initiatives.
- Strong business-value mindset with the ability to balance commercial impact, technical feasibility, resources, cost, and risk.
Why should you apply:
- Lead enterprise-wide AI transformation across one of Japan’s major energy groups.
- Work on a wide variety of real-world AI use cases across energy, logistics, manufacturing, sales, and new businesses.
- Take ownership of the complete AI value lifecycle — from identifying opportunities and building the business case through implementation, adoption, and measurable results.
- Gain exposure to AI portfolio strategy, investment prioritization, AI CoE leadership, and group-wide transformation.
- Build a long-term career toward senior leadership in AI, digital transformation, and business transformation.
Company Details
Our client is one of Japan’s largest integrated energy groups, operating across areas including energy production, distribution, renewable energy, hydrogen, and next-generation energy solutions.
The company is actively investing in AI, cloud technologies, and digital transformation to modernize its operations and create new business value. The Digital Transformation team is leading enterprise-wide AI adoption by building data-driven platforms that support innovation and operational excellence.
Work Location: Tokyo
Working Hours: 9:00 – 17:30 (Monday – Friday)
Work Style: Office-based (5 days/week initially, with 1 day WFH available after training completion)
Holidays: Saturdays, Sundays, National Holidays, Year-end & New Year Holidays, Paid Leave
Benefits: Transportation allowance, social insurance, welfare pension, employment insurance, workers’ compensation insurance, regular health check-ups
Responsibilities:
- Lead and manage a portfolio of AI and data-driven transformation projects.
- Identify business challenges that can be addressed through AI, Generative AI, Machine Learning, and data solutions.
- Develop business cases, expected benefits, KPIs, and project priorities.
- Manage project pipelines, resources, schedules, risks, dependencies, and business outcomes.
- Drive AI initiatives from concept and proof of value through production implementation, adoption, and value realization.
- Support and operate the company-wide AI Center of Excellence (AI CoE).
- Coordinate AI programs across multiple business divisions and group companies.
- Evaluate both the business viability and technical feasibility of proposed AI initiatives.
- Work with technical teams to assess data requirements, architecture, implementation difficulties, cost, and risk.
- Provide management reporting and decision support on AI investment priorities and project performance.
- Build consensus across business, management, and technical stakeholders.
- Promote continuous improvement and agile validation of AI use cases.
Required Skills:
- Bachelor’s degree or equivalent professional experience.
- 8+ years of project management experience, including project formation, KPI definition, project delivery, and stakeholder management.
- Strong understanding of AI and data technologies, including Machine Learning, Generative AI, Data platforms / data infrastructure, and Application & system integration
- Ability to discuss AI architecture, technical feasibility, data requirements, implementation complexity, and risk with technical teams and external specialists.
- Strong experience in cross-functional stakeholder management, facilitation, and consensus building.
- Ability to communicate effectively with senior management and translate business challenges into actionable AI initiatives.
- Strong business-value mindset with the ability to balance commercial impact, technical feasibility, resources, cost, and risk.
Why should you apply:
- Lead enterprise-wide AI transformation across one of Japan’s major energy groups.
- Work on a wide variety of real-world AI use cases across energy, logistics, manufacturing, sales, and new businesses.
- Take ownership of the complete AI value lifecycle — from identifying opportunities and building the business case through implementation, adoption, and measurable results.
- Gain exposure to AI portfolio strategy, investment prioritization, AI CoE leadership, and group-wide transformation.
- Build a long-term career toward senior leadership in AI, digital transformation, and business transformation.
Company Details
Our client is one of Japan’s largest integrated energy groups, operating across areas including energy production, distribution, renewable energy, hydrogen, and next-generation energy solutions.
The company is actively investing in AI, cloud technologies, and digital transformation to modernize its operations and create new business value. The Digital Transformation team is leading enterprise-wide AI adoption by building data-driven platforms that support innovation and operational excellence.
Work Location: Tokyo
Working Hours: 9:00 – 17:30 (Monday – Friday)
Work Style: Office-based (5 days/week initially, with 1 day WFH available after training completion)
Holidays: Saturdays, Sundays, National Holidays, Year-end & New Year Holidays, Paid Leave
Benefits: Transportation allowance, social insurance, welfare pension, employment insurance, workers’ compensation insurance, regular health check-ups
Frequently asked questions
Who is hiring for the AI Value Engineering Manager role?
Skillhouse is hiring for the AI Value Engineering Manager position, a Shazamme client. Apply directly on the employer's career site.
Where is the AI Value Engineering Manager job located?
The AI Value Engineering Manager role with Skillhouse is based in Tokyo, JP.
What does the AI Value Engineering Manager role pay?
Skillhouse lists the AI Value Engineering Manager role at JPY 11,000,000–14,000,000 per year.
Is the AI Value Engineering Manager role full-time or contract?
This is a full time position at Skillhouse.
What experience level is the AI Value Engineering Manager role?
The AI Value Engineering Manager position is aimed at mid-level candidates.
How do I apply for the AI Value Engineering Manager role at Skillhouse?
Apply directly on Skillhouse's career page via the Apply button on this listing. ZammeJobs links straight through to the employer's ATS — no third-party form, no resume database.