Data Delivery manager
EPAM is inviting Data Delivery manager to join our Team!
WHAT YOU’LL DO
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, stakeholders
Establish and manage long-term partnerships with the client(s)
Address client(s) issues and 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
Measure and improve delivery productivity
Support sales activities; participate in bid process, provide technical and management expertise to win bids
Help mentoring and coaching other delivery managers
Actively contribute in EPAM-wide delivery management community
REQUIREMENTS
Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence. Familiar with relevant technological solutions, 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 Big Data technologies
Familiar with multiple Big Data technology stacks (e.g. Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka, etc)
Aware of various tools, techniques, and hands-on knowledge on some of the tools, techniques (e.g. Python, Scala; data mining, predictive analytics, machine learning, etc)
Experience with data visualization, aware of various tools, technologies
Good understanding of classical analytics methods; including relevant theories
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/GCP), leading role in on-prem to cloud migration project(s)
High degree of comfort to present both to large or small audiences
Ability to manage multiple tasks and projects in a fast-moving environment