As a Data Delivery Manager, you will leverage your data-driven mindset and passion for people in a multi-faceted role.
You will bring delivery expertise and theoretical knowledge from the Data and Analytics domain, working alongside globally renowned, award-winning development and technology teams who are passionate about what they do and how they do it. You will play a key role in building strong business/technology relationships, taking a hands-on approach to define and deliver a culture of continuous improvement.
This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas.

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• Own end-to-end solution delivery on the assigned account(s)
• Assure governance of processes in delivery management and production as per selected delivery model
• For the top management and client - act as a single point of responsibility over any delivery related matters, including escalations, upsells, ramp-downs, etc
• Take responsibility over resources needed for delivery - assure sound skills and seniority staffing according to the delivery roadmap
• Accountable for the technical leadership regarding the delivery. Ensuring a sound and future-proof architecture is planned and the implementation meets the technical quality standards
• Coordinate between multiple disciplines and stakeholders
• Establish and manage long-term partnerships with the client(s)
• Address clients' issues, identify and manage engagement risks
• Coordinate the preparation of customer proposals and statements of work
• Ensure that projects are delivered in line with EPAM processes and methodologies; Well versed in different delivery models, with focus on agile approaches
• Build up delivery plan along with estimations on timeframes, quality and quantity of resources required to successfully deliver projects
• Establish a strategy of continuous delivery risk management that enables proactive decisions and actions throughout the delivery life cycle
• Support sales activities: participate in bid process, provide technical and management expertise to win bids
• Ensure EPAM delivery standards while bringing to life the best products for our clients
• You will be managing yourself as well as your team via KPIs around delivery, local Data Practice growth and technology proficiency

• Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence. Familiar with relevant technological solutions and industry best practices
• Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption)
• At least 5 years of experience in gathering and understanding customer business requirements to introduce Data & Analytics technologies
• Familiar with multiple Data & Analytics technology stacks
• Aware of various Data & Analytics tools and techniques (e.g. Python, data mining, predictive analytics, machine learning, data modelling, etc.)
• Experience with data visualization, aware of various tools and technologies
• Good understanding of various delivery approaches, well versed in Agile
• Understanding data related security challenges
• Experience with one or more leading cloud providers (AWS/Azure); leading role in on-prem to cloud migration project(s.)
• Clear, concise communication skills and good command of written and spoken English
• Knowledge of software development / Product lifecycle methodologies (Scrum, Kanban, etc.)
• A thorough understanding of how to plan, resource, and deliver large-scale technical projects
• Experience executing from ground up solutions
• Integration architecture knowledge is a plus

• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
• World-Class Clients: Work closely with 295+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
• Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more