Data Delivery Manager
Data Delivery Management
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We are seeking a Data Delivery Manager to lead end-to-end solution delivery for assigned accounts, ensuring technical excellence, effective client management, and robust governance across all delivery processes.
Responsibilities
- Own solution delivery for assigned accounts, acting as the single point of responsibility for all delivery-related matters
- Assure governance of delivery management and production processes according to the selected delivery model
- Coordinate resources to ensure appropriate skills and seniority align with the delivery roadmap
- Oversee technical leadership, planning future-proof architecture and maintaining technical quality standards
- Facilitate collaboration between multiple disciplines and stakeholders
- Establish and manage long-term client partnerships
- Address client issues and manage engagement risks
- Coordinate preparation of customer proposals and statements of work
- Ensure project delivery aligns with EPAM processes and methodologies, with a focus on agile approaches
- Ensure customer responsibilities are executed within engagements
- Build delivery plans with estimations for timeframes, quality, and resource requirements
- Establish continuous delivery risk management strategies for proactive decision-making
- Measure and improve delivery productivity
- Support sales activities, participate in bid processes, and provide technical and management expertise to win bids
- Mentor and coach other delivery managers
- Contribute to the EPAM-wide delivery management community
Requirements
- At least 5 years of experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, and Business Intelligence, with familiarity in relevant technological solutions and industry best practices
- Understanding of data engineering challenges and proven experience with data platform engineering, including batch and streaming, ingestion, storage, processing, management, integration, and consumption
- Familiarity with Big Data technology stacks such as Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka
- Background in Python, Scala, or Java, with skills in data mining, predictive analytics, and machine learning
- Experience with SQL, building and supporting Big Data solutions, and cloud data technologies
- Understanding of data architecture and software delivery cycles
- Experience with data visualization and awareness of various tools and technologies
- Understanding of classical analytics methods and relevant theories
- Proficiency in various delivery approaches, especially agile
- Understanding of data-related security challenges
- Experience with one or more leading cloud providers (AWS, Azure, GCP) and leading roles in on-prem to cloud migration projects
- Capability to present to both large and small audiences
- Ability to manage multiple tasks and projects in a fast-moving environment
- Strong client management and English communication skills (C1)