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 Latvia, whether it's your home or our office in Riga.

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Responsibilities

• 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
• Make sure that the customer executes their responsibilities on the engagements
• 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.)
• High degree of comfort to present both to large and small audiences
• Ability to manage multiple tasks and projects in a fast-moving environment
• Excellent interpersonal skills, ability to work with diverse personality types
• Clear, concise communication skills and good command of written and spoken English
• Knowledge of software development / Product lifecycle methodologies (Scrum, Kanban, etc.)
• Excellent business communication skills required
• 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 Latvia, whether it's your home or our office in Riga
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more