Data Delivery Manager

As a Data Delivery Manager, you will leverage your data-driven mindset and passion for people in a multi-faceted role.
Bringing delivery expertise and deep knowledge of the Data & Analytics domain, you will collaborate with globally renowned, award-winning development and technology teams passionate about their craft.
In this role, you will foster strong business-technology relationships and take a hands-on approach to driving 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 solutions delivery on the assigned account(s)
• Assure governance of processes in delivery management and production as per the selected delivery model
• Act as a single point of responsibility over any delivery-related matters, including escalations, upsells, ramp-downs, etc
• Ensure proper staffing and technical leadership to meet delivery goals
• Be accountable for the technical leadership regarding the delivery, ensuring that future-proof architecture meets the quality technical standards
• Coordinate between multiple disciplines and stakeholders
• Establish and manage long-term client partnerships, addressing and managing issues and risks
• Coordinate the preparation of the client proposals and statements of work
• Ensure projects align with EPAM processes and methodologies, emphasizing Agile approaches
• Build up delivery plans, including estimations on timeframes and resources required
• Establish a strategy of continuous delivery risk management that enables proactive decisions and actions throughout the delivery life cycle
• Support sales activities by providing technical and management expertise
• Uphold EPAM delivery standards while driving best-in-class solutions
• Manage team performance using KPIs for delivery, local Data Practice growth and technology proficiency

• At least 5+ years of experience in delivering projects in Data & Analytics, Big Data, Data Warehousing or Business Intelligence, familiar with relevant technological solutions and industry best practices
• Background in data platform engineering, including batch and streaming, ingestion, storage, processing, integration and consumption
• Familiar with multiple Data & Analytics solutions, tools and best practices, including Python, data mining, predictive analytics, machine learning and data modeling
• Expertise with AWS or Azure and leading on-prem-to-cloud migration projects, with an understanding of data security challenges
• Proven ability to gather client requirements and execute large-scale technical projects from initiation to delivery
• Strong knowledge of Agile methodologies such as Scrum and Kanban, along with software development lifecycles

• Experience with data visualization tools and integration architecture

• 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