Position: Data Delivery manager
Company: EPAM
Category: Project Manager
Experience required: 3y
English level: upper

We are currently looking for a Big Data Delivery Manager

You are bringing delivery expertise and theoretical knowledge from Data and Analytics domain, working alongside a globally renowned, award-winning development and technology teams who are passionate about what they do, and how they do it. “Faster delivery with better quality” is our competitive edge even for complex data engineering solutions.

To play a key role in building a strong business / technology relationships, taking a hands-on approach to define and deliver embodying and driving a culture of continuous improvement.
WHAT YOU’LL DO
•	Own end-to-end solution delivery on the assigned account(s)
•	For the top management and client - act as a single point of responsibility over any delivery related matters, including escalations, upsells, ramp-downs, etc
•	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
•	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
•	Support sales activities; participate in bid process, provide technical and management expertise to win bids
•	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)
•	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
•	High degree of comfort to present both to large or small audiences
•	Ability to manage multiple tasks and projects in a fast-moving environment
WE OFFER
•	Competitive compensation depending on experience and skills
•	Individual career path
•	Unlimited access to LinkedIn learning solutions
•	Social package - medical insurance, sports
•	Compensation for sick lists and regular vacations
•	English classes with native speakers (certified English teachers)
•	Flexible work hours