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
  • Coordinate between multiple disciplines and stakeholders
  • 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
  • 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
  • Manage your team via KPIs around delivery, local Data Practice growth and technology proficiency
  • Ensure EPAM delivery standards while bringing to life the best products for our clients

 

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)
  • Familiarity with multiple Data & Analytics technology stacks
  • Awareness of various Data & Analytics tools and techniques (e.g. Python, data mining, predictive analytics, machine learning, data modeling, etc.)
  • Understanding of data-related security challenges
  • Experience with data visualization, aware of various tools and technologies
  • 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
  • Deep understanding of how to plan, resource, and deliver large-scale technical projects
  • Knowledge of software development/Product lifecycle methodologies (Scrum, Kanban, etc.)
  • Ability to manage multiple tasks and projects in a fast-moving environment
  • High degree of comfort to present both to large and small audiences
  • Excellent interpersonal skills, and ability to work with diverse personality types
  • Excellent business communication skills

 

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