Global Data, Analytics and Artificial Intelligence - BU High Voltage

About the Role

The role is part of the extended Business Unit leadership team, making it a strategic position that requires strong leadership, communication, and project management skills. The ability to drive business growth through digital transformation and leverage data analytics and AI to inform business decisions will be key to success in this role. With the current shift towards remote work, this role offers the flexibility to work remotely, allowing for a better work-life balance and the opportunity to work with a global team.

What You Will Do

• Define and drive the Business Unit's Data, Analytics, and AI strategy aligned with business objectives and in partnership with the enterprise DAAI organization.
• Identify, consolidate, and prioritize AI opportunities across Business Units and functions, leveraging an agreed governance framework across the enterprise.
• Translate business requirements into clear AI use cases with defined value hypotheses.
• Develop and manage the Business Unit AI portfolio and roadmap end-to-end, leveraging the enterprise framework and tools.
• Govern the AI lifecycle from ideation and proof of value to validation and scale-up through the enterprise governance framework.
• Establish and enforce data, analytics, and AI governance, privacy, and ethical standards.
• Steward Business Unit data assets to ensure quality, availability, harmonization, and compliance.
• Lead cross-functional teams to deliver AI initiatives with measurable business impact, leveraging the enterprise DAAI governance framework.
• Own AI initiative budgeting, resource allocation, and performance tracking.
• Build and maintain strong relationships with business leaders and DAAI stakeholders.
• Communicate AI strategy, progress, and value to drive adoption and business alignment.
• Lead change, capability building, and people development for Data, Analytics, and AI and related stakeholders.

What We Are Looking For

• Degree in Information Technology, Data Science, Engineering, Business, or a related field.
• Minimum 8-10 years of professional experience in digital, data, analytics, and/or AI-driven roles, including senior leadership responsibility in business process management or program implementation.
• Experience in at least one of the following digital core systems: SAP, Windchill, Salesforce.
• Ability to understand complex business environments and translate strategic objectives into digital, data, and AI-enabled value creation.
• 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.
• Strong analytical and problem-solving skills, with the ability to analyze complex data sets and develop actionable insights.
• Experience with data governance, ethics, and compliance, ensuring the responsible use of data and AI.

Nice to Have

• Certification in data science, AI, or a related field.
• Experience with cloud-based data platforms and tools.
• Knowledge of agile methodologies and their application in data analytics and AI projects.
• Experience in managing and leading remote teams, with a proven ability to drive collaboration and productivity in a virtual environment.

Benefits and Perks

• Competitive salary and benefits package.
• Opportunity to work with a global team and contribute to the development of cutting-edge AI and data analytics solutions.
• Flexible and remote work arrangements, allowing for a better work-life balance.
• Professional development opportunities, including training and certification programs.
• Access to the latest technologies and tools in data analytics and AI.
• Collaborative and dynamic work environment, with a focus on innovation and customer satisfaction.

• Ensure your resume and cover letter are optimized for keywords like Salesforce, data analytics, and AI to pass through applicant tracking systems and catch the eye of the hiring manager.
• Prepare examples of how you've driven business growth through data-driven insights and AI solutions, highlighting your ability to communicate complex technical information to non-technical stakeholders.
• Familiarize yourself with Hitachi Energy's business and products to demonstrate your interest and understanding of the company's goals and challenges.
• Be ready to discuss your experience with data governance, ethics, and compliance, and how you ensure the responsible use of data and AI in your work.
• Consider creating a portfolio of your work, including case studies or projects that showcase your skills in data analytics, AI, and leadership.
• Practice your communication skills, as the ability to engage diverse stakeholders and drive business alignment will be crucial in this role.
• Research the market salary range for similar positions to negotiate your salary effectively, considering factors like location, experience, and industry standards.