data delivery manager
Jul 28, 2026 · EPAM Global
What you'll do
- Lead end-to-end delivery of AI and Data projects from discovery to production
- Manage full lifecycle of GenAI, ML, and AI platform enablement initiatives
- Own project delivery scope, schedule, quality, and budget
- Lead multidisciplinary global teams and ensure stakeholder alignment
- Build trusted client relationships and act as main delivery contact
- Oversee risk, financials, and contract adherence
- Ensure compliance with legal, ethical, and security standards in AI
- Mentor team members and promote delivery and engineering excellence
Key requirements
- 3+ years' experience
- Delivery management of GenAI and ML technologies
- Strong client-facing and stakeholder communication skills
- Risk management in AI project delivery
- Knowledge of Cloud providers including AWS, Azure, GCP, or Databricks
- Lead cross-functional, distributed teams
- Enforce engineering excellence and collaborate with solution architects
- Data management fundamentals
- Greek language
- Computer Science / Data Science / Engineeringpreferred
Benefits
- Remote and hybrid work opportunities.
- Option to work from our centrally located office in Athens.
- Corporate laptop provided.
- Private health insurance.
- Meal vouchers / restaurant tickets.
- My Benefit card (264€/year).
- Monthly public transportation card.
- Global and diverse client portfolio, large-scale projects, and trendy technologies.
- Diverse multicultural, multi-functional, and multilingual work environment.
- Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey.
- Numerous opportunities for self-development and certification opportunities.
About the job
We are looking for an AI Delivery Manager to lead end-to-end delivery of AI and Data projects — from discovery to production. You will be accountable for project success, combining strong delivery management expertise with a solid understanding of AI, ML, and data technologies. You will focus on three categories of projects: GenAI Product development, ML Product development and AI Platform enablement.
Join a global team delivering AI-driven transformation for leading enterprises. Work with cutting-edge GenAI and ML technologies, collaborate with top experts, and shape the next generation of intelligent solutions.
The remote option applies only to the Candidates who will be working from any location in Greece.
Responsibilities
Act as a bridge between technology and business, understanding business objectives — including business cases, project purposes, expected outcomes, and delivered value.
Manage full lifecycle of AI initiatives (GenAI, ML).
Own delivery scope, schedule, quality, and budget.
Lead multidisciplinary global teams and ensure alignment across engineering and client stakeholders.
Act as main delivery contact for clients; build trusted relationships
Oversee risk, financials, and contract adherence.
Ensure compliance with legal, ethical, and security standards in AI.
Mentor team members and promote delivery excellence and engineering excellence
Requirements
Strong client-facing, risk management, and stakeholder communication skills.
3+ years in GenAI and traditional ML delivery management (e.g., RAG-based applications, chatbots, recommender systems, forecasting systems)
3+ years of previous experience as engineer (e.g., data scientist, machine learning engineer, data engineer, devops, python engineer)
Solid understanding of GenAI and ML technologies, and data management fundamentals.
Experience with at least one major cloud provider (AWS, Azure, GCP, Databricks).
Ability to lead cross-functional, distributed teams.
Ability to enforce engineering excellence and closely work with solution architects
Knowledge of the Greek language is a must
We offer/Benefits
For your comfortable work:
Remote and hybrid work opportunities
Option to work from our centrally located office in Athens
Corporate laptop provided
Private health insurance
Meal vouchers / restaurant tickets
My Benefit card (264€/year)
Monthly public transportation card
For your growth:
Global and diverse client portfolio, large-scale projects, and trendy technologies
Diverse multicultural, multi-functional, and multilingual work environment
Opportunity to contribute to internal and open-source products
Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey
Possibility to create a Personal Development Plan from the first day in the company
Numerous opportunities for self-development: hard & soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries
Certification opportunities
Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities
Language courses




