Money Forward | AI Program Manager (Productivity Innovation Department)

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Specifications

  • Apply from:  Overseas OK
  • Salary:  7.9M-12M
  • Location:  Not Specified
  • Conditions:  Fulltime

Requirements

  • Japanese: 
  • English: Business
  • Minimum Experience: Not Specified
  • Status: OPEN

Job Description

  • Responsibilities

    • Program Leadership
      • Manage the AI Innovation Hub, including roadmap and execution of incubation cycles and events.
      • Lead multiple AI projects, ensuring alignment with business goals and cross-functional collaboration.
      • Oversee a portfolio of AI experiments and PoCs to prevent silos and redundancy.
    • Incubation & Experimentation
      • Design and refine processes for idea validation and milestone achievement.
      • Ensure initiatives address real user problems and deliver measurable productivity gains.
      • Coordinate mentors and experts to guide teams effectively.
    • Change Management & Culture
      • Build a vibrant AI community and promote continuous learning.
      • Create accessible AI best practices, guides, and templates.
      • Organize events like Hackathons and Demo Days to foster engagement.
    • Operational Excellence
      • Define and track success metrics, including business impact and adoption rates.
      • Collect feedback to improve programs and AI strategy.
      • Communicate progress and outcomes to leadership and stakeholders.

    Requirements

    • Experience
      • 5+ years in program management, product operations, or innovation roles.
      • Proven change management skills and ability to influence organizational adoption.
      • Experience working with software development teams and understanding SDLC.
    • Skills
      • Strong communication, facilitation, and leadership abilities.
      • Strategic agility to balance high-level planning and tactical execution.
      • Business-oriented view of AI, with ability to validate ROI and feasibility.
    • Preferred
      • Experience with internal startups, accelerators, or innovation labs.
      • Knowledge of productivity metrics like DORA or SPACE frameworks.
      • Technical background (CS degree or coding experience) is a plus.
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