Head of Data and AI Solutions

We energize society  by supporting our customers to make the transition to a more sustainable world, based on innovative technologies and our ability to turn ideas into reality. With nearly 100,000 employees around the world, we shape the energy systems of today and tomorrow.

United Kingdom of Great Britain and Northern Ireland

Lincolnshire

Lincoln

Remote vs. Office

Hybrid (Remote/Office)

Company

Siemens Energy Industrial Turbo machinery Ltd.

Organization

Gas Services

Business Unit

Distributed

Full-time

Experience Level

Manager / Team Leader

Join us as the Head of Data & AI Solutions, where you will spearhead our business-facing AI, data, and analytics capabilities, transforming operational opportunities into scalable, trusted, and value-creating digital solutions. You will shape the data and AI solutions roadmap, build a robust use-case portfolio, and ensure that our solutions align with real business priorities across various functions, including Engineering, Manufacturing, Supply Chain, Project Management, Quality, Operations, Procurement, Sales, Finance, and Service.

Leading a talented team of AI, data, analytics, and solution delivery specialists, you will report to the Head of AI & Enterprise Solutions, collaborating closely with business leaders and global teams. Your mission will be to accelerate AI adoption, enhance data readiness, scale reusable solutions, and ensure that every initiative has clear ownership, adoption, and measurable business value.

• Define and lead the SGT data and AI solutions roadmap, ensuring alignment with business priorities.
• Own the AI use-case portfolio from discovery to delivery and benefits realization.
• Develop trusted data products and analytics that enhance operational performance.
• Improve data readiness, quality, lineage, and governance for reliable solutions.
• Partner with senior stakeholders to convert demand into adopted solutions.
• Build a high-performing team that delivers reusable solutions and demonstrates measurable outcomes.

• A Master's or PhD degree in computer science, engineering, mathematics, business, or a related field.
• Leadership experience in AI, data, analytics, or business transformation environments.
• Strong understanding of AI adoption, data governance, and value-led solution delivery.
• Experience in AI or data-enabled transformation across manufacturing or engineering functions.
• Knowledge of gas turbines in areas like engineering or supply chain is desirable.
• Proven experience in delivering complex data and AI projects in high-pressure environments.

Our team focuses on delivering data and AI solutions that address critical business pain points within the organization. We seek tech-savvy individuals with expertise in AI and software, and knowledge of gas turbines is a desirable asset for this role.

At Siemens Energy, we are more than just an energy technology company. With +100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy:

Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion, and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

• 26 days holiday, increasing to 29 days with time served.
• Access to a flexible benefits portal, including private medical cover and cycle-to-work schemes.
• Career development and continuous learning opportunities.
• The chance to work on pioneering projects shaping the future of energy.