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Data Delivery Manager (m/f/d) Berlin, Germany

Data Delivery Manager (m/f/d) Description

Job #: 74226
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider – leading the industry in digital and physical product development and digital platform engineering services. Through its innovative strategy; integrated advisory, consulting and design capabilities; and unique ‘Engineering DNA,’ EPAM’s globally deployed hybrid teams help make the future real for clients and communities around the world by powering better enterprise, education and health platforms that connect people, optimize experiences, and improve people’s lives. Selected by Newsweek as a 2021 Most Loved Workplace, EPAM’s global multi-disciplinary teams serve customers in more than 40 countries across five continents.

As a recognized leader, EPAM is listed among the top 15 companies in Information Technology Services on the Fortune 1000 and ranked as the top IT services company on Fortune’s 100 Fastest-Growing Companies list for the last three consecutive years. EPAM is also listed among Ad Age’s top 25 World’s Largest Agency Companies and in 2020, Consulting Magazine named EPAM Continuum a top 20 Fastest-Growing Firm.

DESCRIPTION



We are looking for a Delivery Manager to join our growing Data Practice and be responsible for overall project delivery, client satisfaction, and management of expectations while ensuring that the work is delivered on strategy, on time, and within budget.

If you possess delivery expertise and theoretical knowledge from Big Data, Data Integration and Data and Analytics domains, this is a great opportunity to work alongside a globally renowned, award-winning development and technology teams who are passionate about what they do, and how they do it.

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
  • 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, Databricks, Snowflake, 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
  • Experience with data applications and product management aspects defining such applications
  • 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)
  • Ability to manage multiple tasks and projects in a fast-moving environment
  • Strong communication skills, including customer facing, high degree of comfort to present both to large or small audiences
  • Fluent English

We offer

  • EPAM Employee Stock Purchase Plan (ESPP)
  • 30 days holiday per annum
  • Company Pension Scheme
  • Competitive compensation depending on experience and skills
  • Regular performance assessments
  • Opportunities for personal and professional growth
  • Unlimited access to LinkedIn learning solutions
  • Friendly and enjoyable working team
  • Relocation package support
  • Regular corporate and social events
  • All benefits and perks are subject to specific eligibility requirements

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