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Director, Data & Analytics Consulting - Machine Learning/Artificial Intelligence (ML/AI) (m/f/d)
Director, Data & Analytics Consulting - Machine Learning/Artificial Intelligence (ML/AI) (m/f/d)-May 2024
Munich
May 17, 2026
ABOUT EPAM SYSTEMS
EPAM is a leading global provider of product development and software engineering solutions.
10,000+ employees
Consulting, Technology
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About Director, Data & Analytics Consulting - Machine Learning/Artificial Intelligence (ML/AI) (m/f/d)

  Are you an avid technologist who enjoys solving and driving complex Data & Analytics challenges? Are you hungry to thrive in a fast paced entrepreneurial engineering environment and take ownership for critical technical and business decisions that directly impact EPAM and our clients?

  As one of the world’s leading digital transformation service providers, we are looking to aggressively expand our Data Practice across Europe to meet increasing client demand for our services. We are looking for people at Director level within the Data & Analytics/Data Science Consulting Practice with a specific focus on Machine Learning (ML) and Artificial Intelligence (AI).

  The roles offer exciting opportunities to work with leading-edge technologies, deliver ML/AI driven solutions, play a highly visible leading role in the organisation whilst partnering closely with multiple clients across various industries and our Data leadership teams globally.

  We offer a flexible work set-up with face to face client meetings from time to time.

  RESPONSIBILITIES

  Provide technical leadership and strategic direction expertise in ML and AI, driving the design, development and implementation of ML/AI solutions for clients

  Engage with clients to understand their business challenges and requirements, and effectively communicate how ML/AI solutions can address them

  Collaborate with cross-functional teams to define project scope, develop datasets and apply appropriate ML algorithms to deliver high-quality solutions

  Lead the identification of new ML/AI opportunities, either through selling solutions or securing funding, by leveraging your technical expertise and engaging senior decision-makers

  Shape ML solutions and properly scope / price engagements, establishing optimal operating models and project team organisation, and leading the transition from the sales process to the delivery phase

  Foster and maintain strong relationships with clients, ensuring their satisfaction through effective project delivery, clear communication and timely issue resolution

  Engage client stakeholders at the executive / C-level, helping them drive enterprise-wide agenda to maximize growth

  Stay updated with the latest advancements in ML/AI and emerging technologies, proactively recommending new approaches and methodologies to address challenges in the space/markets and geographies in which the clients operate

  Support sales / pre-sales activities by assessing Data opportunities, responding to RFP’s, creating proposals and presentations

  REQUIREMENTS

  Strong experience in a senior/leadership role within Data & Analytics/ML/AI as well as a proven track record in designing and implementing ML/AI solutions

  Knowledge and understanding of different architectures: CNN/RNN, Transformers, LLM, Multimodal, Foundation models etc

  Solid understanding of ML algorithms, both classical and Deep Learning based

  Demonstrated experience in engaging and influencing senior stakeholders to secure funding or sell ML/AI projects

  Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, capable of collaborating with cross-functional teams in different geographies and building strong client relationships

  Technical proficiency in programming languages such as Python and ML libraries/frameworks such as PyTorch/TensorFlow

  Excellent problem-solving skills and the ability to analyse complex business requirements and translate them into practical ML/AI solutions

  Fluent German and English is essential

  Bachelor's or master's degree in Computer Science, Data Science, or a related field or relevant work experience

  WE OFFER

  EPAM Employee Stock Purchase Plan (ESPP)

  30 days holiday per annum

  Company Pension Scheme

  Competitive compensation depending on experience and skills

  Regular performance assessments

  Opportunities for personal and professional growth

  Unlimited access to LinkedIn learning solutions

  Friendly and enjoyable working team

  Relocation package support

  Regular corporate and social events

  Flexible and remote working opportunities

  All benefits and perks are subject to specific eligibility requirements

  ABOUT EPAM

  EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potentialWHY JOIN EPAM

  Work across markets and verticals and gain exposure to a great variety of projects and cutting-edge technologies

  Become part of a global community of 59.000+ well-connected experts across 50+ countries: enjoy a career without borders within an international environment and relocation opportunities

  Carve your career path: as the Fastest-Growing IT Services Company in the Fortune 100 List, EPAM is committed to help you discover your fullest potential by creating career plans that best suit you and your future plans

  EPAM Germany was named a Top Company 2022, 2023 & 2024 by Kununu for its people centric culture built on life-long learning

  EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

  At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.

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