Open Data Science job portal

Delivery Manager (Big Data) 1215 views

The role will be to oversee management and EPAM clients’ relationships within the Big Data space. The Delivery Manager will be will join the Data Team and be accountable for the overall project delivery, client satisfaction and management of expectations while ensuring that the work is on strategy, on time and within budget. You will be working alongside a globally renowned and award-wining Design, development, and technology teams who are passionate about what they do and how they do it. To play a key role in building strong business/technology relationships, taking a ‘hands-on’ approach to define and deliver Embodying and driving a culture of continuous improvement.

Come and join EPAM where Engineering is in their DNA.


  • Delivery management covering the full project initiation and life cycle of the Big Data project: lead management, qualification for the bid/financing, staffing, client management, delivery, and execution governance
  • Running multiple delivery streams and clients, to ensure governance at the top management level
  • Oversee delivery from financial, sourcing, development and business perspectives
  • Suggest innovative solutions to business problems/processes that leverage technology to provide marketing differentiation, efficiency improvements, and better user experiences
  • Investigate complex issues of production delivery, run the root cause analysis, establish a solution and push it through required steps necessary in order to deliver
  • Driving integrated teams to deliver solid technology solutions in support of key client initiatives
  • Coordinate the preparation of customer proposals and statements of work
  • Participates in new business development and discovery led projects
  • Manage customer expectations and relationships. Manage high-level client relationships, looking for opportunities to up/ cross-sell products and services through relationship management
  • Work closely with multi-disciplined teams of product owners, architects, engineers, and quality assurance to drive estimates, delivery plans and retrospectives. Identify and manage engagement risks and flag major issues early
  • Management of a team of Technology Delivery Managers – providing coaching, mentoring and development support to drive up delivery capability across the department
  • Mentoring of peers, including making sure that the offshore and onsite project team undertakes their duties effectively; ability to see the big picture and not micro-manage


  • Proven experience of managing the delivery of an organization of 40-100 FTE and or high business impact engagements of a similar size
  • Bring a wealth of experience in data analytics solutions based on big data tech stacks so as to drive a successful delivery but also participate in pre-sales activities, bids, and pitches
  • Ability to apply a mix of business knowledge and delivery practices to projects to achieve the best results
  • Knowledge and ability to assess and propose a variety of methodology, process, and technology on accounts
  • Ability to establish solid working relationships with clients, plus the ability to work effectively as a virtual member of a dynamic, dispersed team and to meet deadlines
  • Strong experience working with distributed teams on client-side
  • Excellent communication, presentation, and planning skills are necessary, experience with working with nearshore teams preferable
  • Self-motivated, multitasking, reliable to deliver on time, a quick-thinker, be able to work in a fast-paced work environment
  • Hands-on experience of delivering projects within the Big Data space and good technical background around Java, Scala or Python
  • Experience in data analytics projects and technical knowledge sufficient to engage in technical discussions with the architecture team
  • Fluent in Big Data solutions on-premises and on the cloud (AWS, MS Azure, Google Cloud)
  • Production project experience in at least one of the big data technologies
  • Batch processing: Hadoop and MapReduce/Spark/Hive
  • NoSQL databases: Cassandra/HBase/Accumulo/Kudu

What They Offer

  • They offer a range of discretionary benefits from time to time, including:
    • Group personal pension plan, life assurance, and income protection
    • Private medical insurance, private dental care, and critical illness cover
    • Cycle scheme and season ticket loan
    • Employee assistance program
    • Gym discount, Friday lunch, on-site massage, and social events
    • 1 day off for your wedding and baby basket
    • Tech purchase scheme
    • Unlimited access to LinkedIn learning solutions
  • Some of these benefits may be available only after you have passed your probationary period

More Information

Share this job
Company Information
Connect with us
Contact Us

Here at the Open Data Science Conference we gather the attendees, presenters, and companies that are working on shaping the present and future of AI and data science. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in the USA, Europe, and Asia.

Contact Us