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Data Delivery Manager (AI / Data Platforms)

Role overview

Qualifications

  • Background in delivering large-scale Data Analytics / Data Science / AI initiatives
  • Understanding of data platforms, data engineering, and modern analytics ecosystems
  • Awareness of machine learning and generative AI concepts and their enterprise applications
  • Familiarity with public cloud platforms, data platform modernization, or cloud migration programs

Responsibilities

  • Lead end-to-end delivery of complex Data & AI programs, from strategy and architecture definition to production deployment
  • Collaborate with senior business stakeholders, data scientists, and engineering teams to define scalable data and AI solutions
  • Deliver modern data platforms, including data pipelines, analytics capabilities, and AI/ML solutions in cloud environments
  • Establish delivery governance, execution frameworks, and KPIs to ensure predictable high-quality outcomes

Key facts

Hard skills

Other skills

  • Leadership
  • Communication
  • Collaboration

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

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Job description

We are seeking an experienced Data Delivery Manager to lead large-scale Data & AI initiatives, including advanced Generative AI and Machine Learning solutions. This role demands a leader with strong delivery discipline, deep knowledge of data ecosystems, and the capability to drive transformation programs across business and technology teams. You will play a key role in directing high-impact AI and data initiatives, working closely with senior stakeholders and expert engineering teams to implement scalable solutions that influence business results. Responsibilities Lead end-to-end delivery of complex Data & AI programs, from strategy and architecture definition to production deployment Collaborate with senior business stakeholders, data scientists, and engineering teams to define scalable data and AI solutions Deliver modern data platforms, including data pipelines, analytics capabilities, and AI/ML solutions in cloud environments Establish delivery governance, execution frameworks, and KPIs to ensure predictable high-quality outcomes Manage cross-functional teams and vendors to align stakeholders toward unified objectives Ensure compliance with data governance, security, and regulatory standards within AI-driven environments Identify delivery risks and implement proactive mitigation strategies in complex, dynamic environments Requirements Background in delivering large-scale Data Analytics / Data Science / AI initiatives Understanding of data platforms, data engineering, and modern analytics ecosystems Awareness of machine learning and generative AI concepts and their enterprise applications Familiarity with public cloud platforms, data platform modernization, or cloud migration programs Ability to navigate complex delivery landscapes involving diverse teams, technologies, and stakeholders Leadership presence with communication abilities tailored to technical teams and executive stakeholders Background in building and operating within AI SDLC frameworks such as agentic workflows and autonomous agents Proficiency in Agile or hybrid delivery environments

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