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Data Delivery Manager

Role overview

Summary

The Data Delivery Manager role at the intersection of Data and Analytics focuses on ensuring precision and reliability in complex programs and projects. You will shape delivery standards across multiple workstreams and maintain accountability for technical leadership while managing client relationships and resource allocation.

Qualifications

  • Practical experience delivering projects across data and analytics, big data, data warehousing and business intelligence.
  • Deep understanding of data engineering challenges spanning batch, streaming, ingestion, storage, processing and governance.
  • At least five years of experience gathering customer business requirements to introduce big data technologies.
  • Familiarity with multiple big data technology stacks including Hadoop, Hive, Spark and Kafka.
  • Knowledge of programming languages and data techniques such as Python, Scala, predictive analytics and machine learning.

Responsibilities

  • Own end-to-end solution delivery on assigned accounts to ensure successful execution
  • Assure governance of processes in delivery management and production according to selected delivery models
  • Act as single point of responsibility for top management and clients regarding delivery matters, escalations and upsells
  • Manage resource allocation by ensuring sound skills and appropriate seniority staffing aligned with delivery roadmaps

Key facts

Hard skills

Other skills

  • Mentorship
  • Coaching
  • Communication
  • Presentations

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

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Job description

What makes a number trustworthy when data moves fast and expectations are high? The Data Delivery Manager role in Spain sits at the intersection of the Data and Analytics sector, where complex programs and projects demand precision and reliability. In this role, you decide how delivery standards shape outcomes across multiple workstreams. The person in this position sets the pace for continuous improvement and ensures that every decision supports dependable results. Responsibilities Own end-to-end solution delivery on assigned accounts to ensure successful execution Assure governance of processes in delivery management and production according to selected delivery models Act as single point of responsibility for top management and clients regarding delivery matters, escalations and upsells Manage resource allocation by ensuring sound skills and appropriate seniority staffing aligned with delivery roadmaps Maintain accountability for technical leadership, ensuring future-proof architecture and adherence to quality standards Coordinate between multiple disciplines and stakeholders to establish and manage long-term client partnerships Address client issues while identifying and managing engagement risks proactively Coordinate the preparation of customer proposals and statements of work to support business growth Build comprehensive delivery plans complete with estimations for timeframes, quality and resources utilizing agile approaches Support sales activities by participating in the bid process and providing technical and management expertise Requirements Practical experience delivering projects across data and analytics, big data, data warehousing and business intelligence Deep understanding of data engineering challenges spanning batch, streaming, ingestion, storage, processing and governance At least five years of experience gathering customer business requirements to introduce big data technologies Familiarity with multiple big data technology stacks including Hadoop, Hive, Spark and Kafka Knowledge of programming languages and data techniques such as Python, Scala, predictive analytics and machine learning Comprehensive knowledge of data visualization tools, classical analytics methods and statistical theories Strong understanding of various delivery approaches with extensive expertise in agile methodologies Solid awareness of data-related security challenges and data privacy best practices Direct experience with leading cloud providers such as AWS, Azure or GCP, including migration project leadership Excellent presentation and communication abilities in a fast-moving environment Nice to have Prior experience mentoring and coaching other delivery managers Active participation in enterprise-wide delivery management communities Track record of driving continuous delivery risk management strategies that enable proactive business decisions

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