Data & AI Consultant - Automotive & Manufacturing (Senior Consultant/Manager)

EPAM Systems; Leipzig; Hybrid; EUR 95,000 - 140,000; Full time

Benefits offered by this job

30 days holiday per annum

Company Pension Scheme

Employee Stock Purchase Plan (ESPP)

Flexible and remote working

Great Place To Work certification

Job summary

EPAM Systems Inc. is seeking a Data & AI Consultant at Senior Consultant or Manager level in Germany, hybrid work mode.

You will lead data and AI initiatives across automotive and manufacturing domains, shaping use cases, architectures, and governance while collaborating with leadership and delivery teams. The role involves mentoring junior consultants, contributing to thought leadership, and helping to grow the Data & AI offerings within the Automotive & Manufacturing practice.

Qualifications

• 6–10+ years in Data & AI consulting or similar client-facing role.
• Experience in Automotive or Manufacturing.
• Cloud experience (Azure, AWS or GCP).
• Databricks and/or Snowflake knowledge.
• Proficiency in German and English.
• Experience leading workstreams or small teams (manager level).

Responsibilities

• Identify, assess and prioritize Data & AI use cases and shape strategies and roadmaps.
• Lead or co-lead project workstreams with cross-functional teams.
• Define target architectures for data platforms and AI solutions.
• Advise on governance, MLOps/LLMOps and regulatory requirements.
• Contribute to proposals, RFP responses, effort estimates and business cases.

Skills

Data & AI consulting

Cloud platforms

Data engineering

Data governance

ML/GenAI/LLM

Stakeholder management

Tools

Databricks

Snowflake

ML orchestration tools

Job description

We're looking for a Data & AI Consultant – Automotive & Manufacturing (m/f/d) at Senior Consultant or Manager level to join our Data & AI Consulting team in Germany in a hybrid working mode.EPAM's Data & AI practice helps organizations get business value from data and AI, from strategy through to production. Our work spans AI and agentic solutions (GenAI, LLMs, LLMOps and agentic frameworks), machine learning and advanced analytics, and the data foundations they depend on: data management, governance and data quality, together with modern data platforms such as lakehouse architectures and data platform modernization. Responsible AI practices are part of everything we deliver.In this role, you will help automotive OEMs, suppliers and industrial manufacturers turn data and AI into business results. You will work on topics such as connected vehicle and product data, smart factory and shop-floor (IT/OT) data, predictive quality and maintenance, supply chain transparency, and GenAI and agentic solutions for engineering, production and after-sales. You will own workstreams from use case identification and strategy through solution design and delivery, working closely with our practice leadership and delivery teams.This is an opportunity to grow your consulting career at the intersection of Data & AI and industrial domain expertise, with direct exposure to client stakeholders and real influence on how our Automotive & Manufacturing offerings develop.ResponsibilitiesWork with clients to identify, assess and prioritize Data & AI use cases, and shape Data & AI strategies, business cases and roadmapsLead or co-lead project workstreams, coordinating cross-functional teams of data engineers, data scientists, ML engineers and architectsTranslate use cases such as demand and supply chain forecasting, vehicle data monetization, predictive quality and maintenance, OEE and production analytics, traceability and GenAI assistants for engineering and service into solution designsAssess clients' data landscapes (ERP, MES, PLM, IoT/OT, connected vehicle and enterprise systems) and define target architectures for data platforms and AI solutionsPrepare and run workshops, discovery sessions and solution design sessions, and present results to client stakeholders from IT, operations and business up to management levelAdvise clients on data and AI governance, data quality, MLOps/LLMOps, Responsible AI and regulatory requirements such as the EU AI ActContribute to proposals, RFP responses, effort estimates and business casesHelp develop and refine EPAM's Data & AI offerings, accelerators and reference architectures for Automotive & ManufacturingCoach and mentor junior consultants, and support recruiting as the team grows (Manager level)Contribute to thought leadership such as articles, webinars and industry eventsRequirements6–10+ years of experience in Data & AI consulting, technology consulting or a comparable client-facing role, including experience in Automotive or ManufacturingTechnical depth in at least one Data & AI area, such as data engineering and platforms (pipelines, lakehouse/warehouse, streaming), data modeling and governance, or applied AI and ML (including model development, MLOps and GenAI/LLM solutions)Experience delivering Data & AI solutions on at least one major cloud (Azure, AWS or GCP)Working knowledge of Databricks and/or Snowflake and modern AI/ML and orchestration toolsDomain understanding of at least one area: production and shop-floor data (MES, SCADA, historians, OPC UA), product lifecycle (PLM/engineering data), supply chain and logistics, after-sales and quality, or connected vehicle and software-defined vehicle dataExperience with enterprise source systems common in the industry, such as SAP (ECC/S/4HANA, BW) or similar ERP platformsExperience leading workstreams or small teams; for Manager level, a track record of managing project scope, client expectations and team deliveryUnderstanding of SDLC and best practices for Data & AI product deliveryStrong communication and stakeholder management skills, with the ability to work with both technical teams and business stakeholdersBusiness fluency in German and EnglishNice to haveExperience with industrial IoT and edge platforms (e.g. Azure IoT, AWS IoT, Siemens Industrial Edge/Insights Hub) or IT/OT integrationHands-on experience with GenAI, RAG or agentic solutions in an industrial contextFamiliarity with automotive data ecosystems and standards such as Catena-X, Gaia-X or Asset Administration ShellExposure to data mesh, Unity Catalog, Microsoft Fabric or Palantir FoundryCertification in Azure, AWS, GCP, Databricks or SnowflakeFamiliarity with industry-relevant requirements such as TISAX, ISO 27001, the EU Data Act or the EU AI ActWe offer30 days holiday per annumCompany Pension SchemeRegular performance assessmentsDiscount on Fitness-First Black Membershipbitkom - Corporate BenefitsEmployee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)Learning and development opportunities, including in-house training and coaching, professional certifications, and coursesFriendly and enjoyable working teamRegular corporate and social eventsFlexible and remote working opportunitiesAward-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.