Lead of Advanced Data Solutions

Siemens Gas and Power GmbH & Co. KG

Amadora

Hybrid

EUR 120,000 - 210,000

Full time

2 days ago

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Benefits offered by this job

Global team

Innovative projects

Medical benefits

Remote work

Paid holidays

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Job summary

Siemens Energy is seeking a Head of Advanced Data Solutions to lead Data & AI strategy for Compression Service, shaping data governance and scalable data products. You will guide an international team of data engineers and scientists and partner with global service units to drive value.

Responsibilities include defining strategic roadmaps, establishing data quality standards, evolving the Compression Information System, and delivering AI-enabled analytics and dashboards to support operational

Qualifications

Degree in Computer Science, Data Science, or a related field.
Experience leading teams or transformation programs in data/AI.
Strong track record translating challenges into scalable data and digital solutions.
Knowledge of modern cloud data platforms and governance frameworks.
Understanding of AI, ML, LLMs, RAG, AI agents, BI and analytics.

Responsibilities

Define and execute the Data & AI strategy for Compression Service.
Establish and strengthen data governance, ownership models, and architecture principles.
Lead evolution of the Data Backbone and Compression Information System.
Prioritize Data & AI solutions portfolios based on value and feasibility.
Develop reusable data products with clear semantics and data lifecycle management.
Drive high-priority AI initiatives and advanced analytics.
Provide trusted insights, dashboards, and predictive analytics for decisions.
Lead and develop an international, multidisciplinary team.
Partner with global/regional teams, IT, and external partners for value creation.
Communicate strategies and investment cases to technical and executive audiences.

Skills

Portfolio management

People leadership

Stakeholder management

Strategic roadmaps

Data governance

Education

Bachelor's or Master's in CS/Data Science

Tools

Cloud data platforms

Data modeling

Data lineage

Job description

Siemens Energy and Siemens Gamesa are becoming Omterra. "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.

As Head of Advanced Data Solutions, you will play a key role in shaping the future of data and AI across Siemens Energy’s Compression Global Service Operations.

You will define and drive the Data & AI strategy for Compression Service, strengthen data governance and architecture, and lead the development of scalable data products, advanced analytics, and high-impact AI solutions. A key focus will be the continued evolution of the Compression Information System, creating a trusted, asset-centric data foundation to support operational excellence and data-driven commercial decisions.

Working in a global and highly collaborative environment, you will lead an international, multidisciplinary team of data engineers, data scientists, and digital product specialists. You will partner closely with global and regional Service organizations, IT, Digital Core, and other key stakeholders to turn complex business challenges into scalable digital solutions and measurable business value.

How You’ll Make an Impact

Define and execute the Data & AI strategy for Compression Service, translating business priorities into a clear strategic roadmap and portfolio of initiatives.
Establish and continuously strengthen data governance, ownership models, data-quality standards, stewardship practices, and architecture principles across the organization.
Lead the evolution of the Service Data Backbone and Compression Information System, creating an integrated and asset-centric data foundation for operational and commercial decision-making.
Manage and prioritize the Data & AI solutions portfolio based on business criticality, feasibility, expected value, scalability, and compliance requirements.
Direct the development and scaling of reusable data products, ensuring clear semantic definitions, data lineage, quality, ownership, and lifecycle management.
Drive high‑priority AI and advanced analytics initiatives, leveraging technologies such as machine learning, Large Language Models, Retrieval-Augmented Generation, and AI agents.
Accelerate process digitalization by providing decision‑makers with trusted insights, dashboards, predictive analytics, and AI‑enabled capabilities.
Lead, coach, and develop an international and multidisciplinary team of data engineers, data scientists, and digital product specialists.
Build strong partnerships across global and regional Service teams, IT, Digital Core, and external partners to ensure alignment, adoption, and sustainable value creation.
Communicate Data & AI strategies, investment cases, priorities, and delivery roadmaps effectively to both technical and non-technical stakeholders, including senior leadership.

What You Bring

A Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Business Technology, or a comparable field.
Several years of professional experience leading teams, portfolios, or transformation programs in Data, Analytics, AI, Digital Products, or technology‑enabled business transformation.
Strong experience defining and executing strategic roadmaps and translating business challenges into scalable data and digital solutions.
Solid knowledge of modern cloud data platforms and architectures, including data modeling, semantic layers, data lineage, data quality, and governance frameworks.
Good understanding of AI and advanced analytics, including machine learning, LLMs, Retrieval-Augmented Generation (RAG), AI agents, predictive analytics, and Business Intelligence.
Experience developing and managing data products and their lifecycle, from concept and prioritization through implementation, adoption, scaling, and value realization.
Strong portfolio management capabilities, including use‑case prioritization, investment evaluation, roadmap management, and business value tracking.
Proven people leadership experience, with the ability to lead, coach, and develop cross‑functional and international teams.
Excellent stakeholder management and communication skills, with the ability to communicate complex Data & AI concepts and investment cases clearly to both technical and executive audiences.
Experience working in asset‑intensive industries, industrial services, energy, or enterprise service operations would be highly beneficial.
A strategic and entrepreneurial mindset combined with a pragmatic approach to execution, strong ownership, and the ability to drive transformation in a complex global organization.

Who is Siemens Energy?

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: [1] https://www.siemens-energy.com/employeevideo

Our Commitment to Diversity

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.

Rewards/Benefits