Data Delivery Manager

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 for resources needed for delivery - assure sound skills and seniority staffing according to the delivery roadmap
• Accountable for the technical leadership regarding the delivery. Ensure 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 client proposals and statements of work
• Ensure that projects are delivered in line with EPAM processes and methodologies;
• Make sure that the client 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 the bid process, and provide technical and management expertise to win bids
• Ensure EPAM delivery standards while bringing to life the best products for our clients
• Manage your team via KPIs around delivery, local Data Practice growth and technology proficiency

Requirements

• Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence, LLM
• Knowledge of corresponding 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)
• 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 modeling, etc.)
• Experience with data visualization, aware of various tools and technologies
• Understanding of data-related security challenges
• Experience with one or more leading cloud providers (AWS/Azure/GCP); leading role in on-prem to cloud migration projects
• Experience executing from ground-up solutions
• A thorough understanding of how to plan, resource, and deliver large-scale technical projects
• Knowledge of software development/Product lifecycle methodologies (Scrum, Kanban, etc.)
• 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, and ability to work with diverse personality types
• Excellent business communication skills
• Fluency in English with a proficiency level of B2 or higher