[Hiring] Data Delivery Manager @EPAM Systems

Role 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.

• 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

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
• 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