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Data Delivery Manager

Job in Missoula, Missoula County, Montana, 59801, USA
Listing for: EPAM Systems, Inc.
Full Time position
Listed on 2026-07-07
Job specializations:
  • IT/Tech
    Data Engineering, IT Project Manager, Data Science Manager
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
We are hiring a Data Delivery Manager to spearhead comprehensive data solution delivery for our strategic accounts, ensuring technical excellence and superior client service.

You will drive governance adherence and collaborate across teams to deliver successful outcomes. Join us to lead impactful data delivery initiatives and build strong client connections.

Responsibilities Manage end-to-end solution delivery for designated accounts as the key point of accountability

Ensure governance over delivery management and production processes per the chosen delivery framework

Organize resources to align skills and seniority with delivery plans

Provide technical leadership by designing scalable architectures and maintaining quality standards

Coordinate collaboration between multiple teams and stakeholders

Develop and sustain long-term relationships with clients

Address client concerns and manage risks related to engagements

Oversee the preparation of proposals and statements of work Ensure projects comply with EPAM methodologies focusing on agile delivery

Guarantee execution of client responsibilities within projects

Create delivery timelines including estimates for duration, quality, and resources

Develop continuous risk management strategies for delivery

Measure and enhance delivery productivity

Support sales through bid participation and technical leadership

Coach and develop other delivery managers

Contribute actively to the EPAM delivery management community

Requirements

At least 10 years of experience delivering projects in Data and Analytics, Big Data, Data Warehousing, and BI with knowledge of relevant technologies and best practices

Deep understanding of data engineering challenges and experience in data platform engineering including batch and streaming processes

Familiarity with Big Data stacks such as Hadoop, Yarn, HDFS, Map Reduce, Hive, Spark, and Kafka Proficient in Python, Scala, or Java programming with data mining, predictive analytics, and machine learning skills

Experienced in SQL, building and supporting Big Data solutions, and cloud data technologies

Knowledgeable about data architecture and software delivery life cycles

Experience with data visualization tools

Understanding of classical analytics methodologies and theories

Proficient in various delivery methodologies, particularly agile

Understanding of data security challenges

Experience working with major cloud providers (AWS, Azure, GCP) and leading on-premises to cloud migration projects

Excellent presentation skills for audiences of different sizes

Capable of managing multiple tasks in a fast-paced environment

Strong client management and advanced English communication skills (C1)
We offer

International projects with top brands

Work with global teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the Linked In Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and Linked In
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