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Hitachi

BU Data, Analytics, and Artificial Intelligence Lead

Hitachi

Global Digital, Analytics and AI Lead at Hitachi Energy shaping the future of energy through data-driven insights. Collaborates with global stakeholders to drive AI initiatives and measurable impact across operations.

Posted 5/20/2026full-timeMassy • 🇫🇷 FranceSeniorWebsite

About the role

Key responsibilities & impact
  • Shape the future of data, analytics, and AI by setting a clear strategic direction that drives meaningful business outcomes at scale.
  • Turn real business challenges into AI opportunities that improve decisions, performance, and competitive advantage.
  • Build and lead a high-impact AI portfolio, taking ideas from early concepts to scaled solutions that create measurable value.
  • Champion responsible and trusted AI by embedding strong governance, ethics, and data standards into everything delivered.
  • Elevate data as a strategic asset by improving quality, consistency, and access to enable powerful insights and AI solutions.
  • Lead diverse, cross-functional teams to deliver AI initiatives that are practical, scalable, and business-ready.
  • Learn from results to continuously refine approaches, scale successes, and amplify business impact.
  • Build strong partnerships with business and digital leaders to align priorities and accelerate AI adoption.
  • Strengthen organizational capabilities through targeted learning, clear messaging, and a strong data-driven mindset.
  • Drive change with confidence by guiding stakeholders through transformation and ensuring responsible adoption of new solutions.
  • Inspire, develop, and grow high-performing Data, Analytics, and AI teams aligned behind a shared vision.

Requirements

What you’ll need
  • Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
  • Relevant certifications (e.g., CAIP, advanced AI/ML certifications) highly valued
  • Extensive 15+ years of experience in roles related to business process management or program implementation in a manufacturing industry.
  • Effective communication skills with a proven ability to engage diverse stakeholders at all levels, fostering a collaborative environment to drive initiatives.
  • Demonstrated competence in influencing and motivating teams to adopt new processes, reduce resistance, and achieve successful transitions to globally harmonized practices.
  • Deep understanding of data, analytics, AI/GenAI technologies, machine learning and analytics platforms.
  • Strong analytical skills to tackle complex data and/or AI challenges.
  • Awareness of ethical considerations in AI development and deployment.

Benefits

Comp & perks
  • Commitment to ongoing education through workshops, conferences, and courses to stay updated with the latest AI advancements

ATS Keywords

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Hard Skills & Tools
Artificial IntelligenceData ScienceMachine LearningAnalyticsAI GovernanceData QualityData StandardsProgram ImplementationBusiness Process ManagementAI/GenAI Technologies
Soft Skills
Effective CommunicationTeam LeadershipStakeholder EngagementCollaborationInfluencingMotivating TeamsChange ManagementStrategic ThinkingProblem SolvingContinuous Improvement
Certifications
Master's Degree in Computer ScienceMaster's Degree in Artificial IntelligenceMaster's Degree in Data ScienceCAIPAdvanced AI/ML Certifications