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Senior Data & AI Consultant - Energy/Oil & Gas
- Pay
From EUR 85,000/year · Gross — pay source
We're looking for a Senior Data & AI Consultant – Energy/Oil & Gas (m/f/d) to join our Data & AI Consulting team in Austria 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 help build EPAM's Energy & Utilities Data & AI practice in the DACH region. You will shape and deliver Data & AI engagements for clients across energy transition, grid modernization, utilities operations and Oil & Gas, working closely with our practice leadership to grow client relationships and our offering. This is an opportunity to take on real ownership in a growing practice and help shape how the energy sector adopts next-generation Data & AI technologies. The salary for this position starts at 85 000 EUR gross annually, depending on the level, with the possibility of a higher salary based on skills and experience. Responsibilities Lead and deliver Data & AI consulting engagements for Energy, Utilities and Oil & Gas clients Translate client business challenges into Data & AI use cases, roadmaps and solution designs Facilitate workshops, discovery sessions and stakeholder interviews Manage engagement scope, timelines and quality together with delivery teams Advise clients on architecture, data governance and regulatory considerations Contribute to proposals, RFP responses and the development of new industry offerings Build trusted relationships with client stakeholders and identify opportunities for follow-on work Coach and support junior consultants and engineers on engagements Contribute to thought leadership and represent EPAM at industry events Requirements 5+ years of experience in Data & AI consulting, with a focus on Energy, Utilities or Oil & Gas Domain knowledge in at least one Energy or Utilities segment: grid modernization, DER integration, energy trading, generation/transmission/distribution or demand-side management Technical depth in at least one Data & AI area, such as data engineering and platforms, data modeling, governance or applied AI and ML (including MLOps and GenAI/LLM solutions) Hands-on experience delivering solutions on cloud platforms (AWS, Azure or GCP) Working knowledge of Databricks, Snowflake or modern AI orchestration tools Track record of leading client workstreams or small engagements end to end Strong stakeholder management and communication skills across business and technical audiences Business fluency in German and English Nice to have Exposure to renewables, Data Center Energy Management or DER/grid-edge technologies Oil & Gas domain experience (Upstream, Midstream or Downstream) Certification in AWS, Azure, GCP, Databricks or Snowflake Familiarity with energy-sector regulatory frameworks or ESG compliance
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What you’ll work on
Full postingLead and deliver Data & AI consulting engagements for energy and utilities clients
Translate client business challenges into Data & AI use cases, roadmaps and solution designs
Facilitate workshops, discovery sessions and stakeholder interviews
Manage engagement scope, timelines and quality with delivery teams
Advise clients on architecture, data governance and regulatory considerations
From the employer’s posting
Lead and deliver Data & AI consulting engagements for Energy, Utilities and Oil & Gas clients
Translate client business challenges into Data & AI use cases, roadmaps and solution designs
Facilitate workshops, discovery sessions and stakeholder interviews
Manage engagement scope, timelines and quality together with delivery teams
Advise clients on architecture, data governance and regulatory considerations
Tools in this posting
- AWS
- Azure
- Databricks
- GCP
- Snowflake
Source — Tool mentions in context
We're looking for a Senior Data & AI Consultant – Energy/Oil & Gas (m/f/d) to join our Data & AI Consulting team in Austria 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 help build EPAM's Energy & Utilities Data & AI practice in the DACH region. You will shape and deliver Data & AI engagements for clients across energy transition, grid modernization, utilities operations and Oil & Gas, working closely with our practice leadership to grow client relationships and our offering. This is an opportunity to take on real ownership in a growing practice and help shape how the energy sector adopts next-generation Data & AI technologies. The salary for this position starts at 85 000 EUR gross annually, depending on the level, with the possibility of a higher salary based on skills and experience. Responsibilities Lead and deliver Data & AI consulting engagements for Energy, Utilities and Oil & Gas clients Translate client business challenges into Data & AI use cases, roadmaps and solution designs Facilitate workshops, discovery sessions and stakeholder interviews Manage engagement scope, timelines and quality together with delivery teams Advise clients on architecture, data governance and regulatory considerations Contribute to proposals, RFP responses and the development of new industry offerings Build trusted relationships with client stakeholders and identify opportunities for follow-on work Coach and support junior consultants and engineers on engagements Contribute to thought leadership and represent EPAM at industry events Requirements 5+ years of experience in Data & AI consulting, with a focus on Energy, Utilities or Oil & Gas Domain knowledge in at least one Energy or Utilities segment: grid modernization, DER integration, energy trading, generation/transmission/distribution or demand-side management Technical depth in at least one Data & AI area, such as data engineering and platforms, data modeling, governance or applied AI and ML (including MLOps and GenAI/LLM solutions) Hands-on experience delivering solutions on cloud platforms (AWS, Azure or GCP) Working knowledge of Databricks, Snowflake or modern AI orchestration tools Track record of leading client workstreams or small engagements end to end Strong stakeholder management and communication skills across business and technical audiences Business fluency in German and English Nice to have Exposure to renewables, Data Center Energy Management or DER/grid-edge technologies Oil & Gas domain experience (Upstream, Midstream or Downstream) Certification in AWS, Azure, GCP, Databricks or Snowflake Familiarity with energy-sector regulatory frameworks or ESG compliance
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 7, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
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About EPAM Systems
- People
- About 3,012 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as EPAM.
- H-1B visas
- 21 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
We're looking for a Senior Data & AI Consultant – Energy/Oil & Gas (m/f/d) to join our Data & AI Consulting team in Austria 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 help build EPAM's Energy & Utilities Data & AI practice in the DACH region. You will shape and deliver Data & AI engagements for clients across energy transition, grid modernization, utilities operations and Oil & Gas, working closely with our practice leadership to grow client relationships and our offering. This is an opportunity to take on real ownership in a growing practice and help shape how the energy sector adopts next-generation Data & AI technologies. The salary for this position starts at 85 000 EUR gross annually, depending on the level, with the possibility of a higher salary based on skills and experience. Responsibilities Lead and deliver Data & AI consulting engagements for Energy, Utilities and Oil & Gas clients Translate client business challenges into Data & AI use cases, roadmaps and solution designs Facilitate workshops, discovery sessions and stakeholder interviews Manage engagement scope, timelines and quality together with delivery teams Advise clients on architecture, data governance and regulatory considerations Contribute to proposals, RFP responses and the development of new industry offerings Build trusted relationships with client stakeholders and identify opportunities for follow-on work Coach and support junior consultants and engineers on engagements Contribute to thought leadership and represent EPAM at industry events Requirements 5+ years of experience in Data & AI consulting, with a focus on Energy, Utilities or Oil & Gas Domain knowledge in at least one Energy or Utilities segment: grid modernization, DER integration, energy trading, generation/transmission/distribution or demand-side management Technical depth in at least one Data & AI area, such as data engineering and platforms, data modeling, governance or applied AI and ML (including MLOps and GenAI/LLM solutions) Hands-on experience delivering solutions on cloud platforms (AWS, Azure or GCP) Working knowledge of Databricks, Snowflake or modern AI orchestration tools Track record of leading client workstreams or small engagements end to end Strong stakeholder management and communication skills across business and technical audiences Business fluency in German and English Nice to have Exposure to renewables, Data Center Energy Management or DER/grid-edge technologies Oil & Gas domain experience (Upstream, Midstream or Downstream) Certification in AWS, Azure, GCP, Databricks or Snowflake Familiarity with energy-sector regulatory frameworks or ESG compliance
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- Location & working pattern
Austria
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