Global Data, Analytics and Artificial Intelligence Lead (DAAI) - BU Grid Automation in Stone

Global Data, Analytics and Artificial Intelligence Lead (DAAI) - BU Grid Automation in Stone

Stone Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Hitachi Vantara Corporation

At a Glance

  • Tasks: Lead AI initiatives and drive data-driven value creation in energy solutions.
  • Company: Hitachi Energy, a leader in digital innovation and AI solutions.
  • Benefits: Flexible location, career growth, and opportunities to shape the future of energy.
  • Other info: Join a dynamic team and collaborate with global stakeholders for meaningful change.
  • Why this job: Make a real impact on global energy transformation through cutting-edge AI technology.
  • Qualifications: Master’s degree in relevant fields and 15+ years of industry experience.

The predicted salary is between 80000 - 100000 £ per year.

Hitachi Energy is seeking a Global Digital, Analytics and Artificial Intelligence Lead for the Business Unit Grid Automation to join our team shaping the future of energy through digital innovation, data‑driven insights, and AI‑enabled solutions. In this role, you will drive data‑ and AI‑enabled value creation by converting business strategy into prioritized AI initiatives, ensuring measurable impact across operations, decision‑making, and innovation. This position offers the opportunity to grow your career within the newly established Digital Transformation Organization, collaborate with global stakeholders, and shape the future of transformer solutions. The location for this role is flexible and will be determined in subsequent stages.

Key Responsibilities

  • 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.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Relevant certifications such as CAIP or advanced AI/ML certifications highly valued.
  • Commitment to ongoing education through workshops, conferences, and courses to stay updated with the latest AI advancements.
  • 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.
  • Ability to bridge strategy, governance, and execution.

Global Data, Analytics and Artificial Intelligence Lead (DAAI) - BU Grid Automation in Stone employer: Hitachi Vantara Corporation

Hitachi Energy is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the dynamic field of digital transformation and AI. Employees benefit from flexible working arrangements, extensive professional development opportunities, and the chance to work on impactful projects that shape the future of energy. With a commitment to ethical AI practices and a strong emphasis on teamwork, Hitachi Energy empowers its workforce to drive meaningful change and achieve personal growth in a supportive environment.

Hitachi Vantara Corporation

Contact Details:

Hitachi Vantara Corporation Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Global Data, Analytics and Artificial Intelligence Lead (DAAI) - BU Grid Automation in Stone

Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for interviews by researching the company and its culture. Understand their values and how they align with your skills in data, analytics, and AI. This will help you tailor your responses and show you're the perfect fit.

Tip Number 3

Practice makes perfect! Conduct mock interviews with friends or use online platforms. Focus on articulating your experience in driving AI initiatives and leading teams, as these are key for the role.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Hitachi Energy.

We think you need these skills to ace Global Data, Analytics and Artificial Intelligence Lead (DAAI) - BU Grid Automation in Stone

Data Analytics
Artificial Intelligence
Machine Learning
AI Governance
Business Process Management
Program Implementation
Stakeholder Engagement

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Global Data, Analytics and AI Lead role. Highlight your expertise in AI, data analytics, and any relevant projects you've led that showcase your ability to drive business outcomes.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about shaping the future of energy through digital innovation. Share specific examples of how you've turned business challenges into AI opportunities, and how you can contribute to our mission at Hitachi Energy.

Showcase Your Leadership Skills:In your application, emphasise your experience in leading diverse teams and driving change. We want to see how you've inspired and developed high-performing teams in the past, especially in the context of AI initiatives and digital transformation.

Apply Through Our Website:Don't forget to submit your application through our website! This ensures that your application is processed smoothly and allows us to keep track of all candidates effectively. Plus, it’s the best way to stay updated on your application status.

How to prepare for a job interview at Hitachi Vantara Corporation

Know Your AI Stuff

Make sure you brush up on the latest trends in AI and data analytics. Be ready to discuss how you've applied these technologies in real-world scenarios, especially in a manufacturing context. This will show that you’re not just knowledgeable but also practical.

Showcase Your Leadership Skills

Prepare examples of how you've led cross-functional teams in the past. Highlight your ability to inspire and develop high-performing teams, as this role requires strong leadership to drive AI initiatives. Use specific metrics or outcomes to demonstrate your impact.

Understand the Business Side

Familiarise yourself with Hitachi Energy's business model and how data-driven insights can create value. Be ready to discuss how you would turn business challenges into AI opportunities, showcasing your strategic thinking and understanding of the industry.

Emphasise Ethical AI Practices

Given the importance of responsible AI, be prepared to talk about your approach to governance and ethics in AI development. Share any experiences where you’ve implemented strong data standards or addressed ethical considerations in your projects.