Principal Data & AI Consultant - Energy/Oil & Gas (m/f/d)
Introduction
We're looking for a Principal Data & AI Consultant – Energy/Oil & Gas to join our Data & AI Consulting team in Germany in a hybrid working mode. EPAM’s Data & AI practice helps organizations realize business value through consulting and delivery of end-to-end data and AI/ML solutions. Our expertise spans data platform modernization, advanced analytics, machine learning, LLMOps, agentic frameworks and Responsible AI practices. In this role, you will lead the development of EPAM’s Energy & Utilities Data & AI practice, driving strategy, solution delivery and thought leadership for key segments such as energy transition, grid modernization, utilities operations and Oil & Gas. You will take end-to-end responsibility for market development, go-to-market execution, client relationship growth and building a high-performing consulting team. This is a career-defining opportunity for a consulting leader to scale a practice from the ground up and shape how the German energy sector adopts next-generation Data & AI technologies.
Tasks
Drive growth of the Energy & Utilities Data & AI practice for Germany, developing client relationships, target account strategies and GTM offerings Collaborate with clients and EPAM stakeholders to define Data & AI strategies and transformation roadmaps Lead strategic workshops, discovery sessions and executive-level solution design engagements Shape high-quality proposals and enterprise Data & AI strategies tailored to industry requirements Create and continuously enhance EPAM’s portfolio of Data & AI offerings for the Energy sector Recruit, mentor and scale a specialist team with advanced capability in data solutions and applied AI Act as a trusted advisor, guiding clients on architecture decisions, governance and regulatory compliance Represent EPAM in industry events and contribute to thought leadership initiatives Support business development by influencing account strategy and participating in RFP processes
Profile
10+ years of experience in Data & AI consulting leadership roles across Energy, Utilities or Oil & Gas At least 5 years in senior leadership with team-building, practice development or P&L responsibilities Domain expertise in at least one Energy or Utilities segment: grid modernization, DER integration, energy trading, generation/transmission/distribution or demand-side management (Oil & Gas experience is a strong plus) Technical depth in at least one Data & AI area, such as data engineering and platforms (pipelines, lakehouse/warehouse, streaming), data modeling, governance, or applied AI and ML (including model development, MLOps and GenAI/LLM solutions) Experience delivering production-grade solutions using cloud platforms (AWS, Azure or GCP) Working knowledge of Databricks, Snowflake and modern AI orchestration tools Understanding of SDLC and best practices for Data & AI product delivery Exceptional stakeholder engagement skills with credibility across technical and executive levels Strong consulting background with a proven record in enterprise advisory roles Business fluency in German and English for leadership in client-facing engagements
We offer
30 days holiday per annum Company Pension Scheme Regular performance assessments Discount on Fitness-First Black Membership bitkom - Corporate Benefits Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements) Learning and development opportunities, including in-house training and coaching, professional certifications, and courses Friendly and enjoyable working team Regular corporate and social events Flexible and remote working opportunities Award-winning workplace: Great Place To Work® certified in 2026, Kununu (Top Company 2022–2026), NewWork Business Award 2025 for outstanding culture, innovation and employee satisfaction. *All benefits and perks are subject to certain eligibility requirements
Additional Information
Nice to have Exposure to renewables, Data Center Energy Management or DER/grid-edge technologies Oil & Gas domain experience (Upstream, Midstream or Downstream) Recognized thought leadership through publications, talks or open-source contributions Certification in AWS, Azure, GCP, Databricks or Snowflake Familiarity with energy-sector regulatory frameworks, ESG compliance or safety standards