Data Delivery Manager

We are looking for a remote Data Delivery Manager to join our team and take ownership of end-to-end solution delivery on assigned accounts. In this role, you will act as the single point of responsibility for all delivery-related matters, including escalations, upsells, ramp-downs, and resource management. You will be accountable for technical leadership and ensuring sound and future-proof architecture is planned and implemented to meet technical quality standards. You will coordinate between multiple disciplines and stakeholders and establish and manage long-term partnerships with clients.

#LI-DNI#LI-AP13

Responsibilities

• Assure governance of processes in delivery management and production as per the selected delivery model
• Take responsibility for resources needed for delivery and ensure sound skills and seniority staffing according to the delivery roadmap
• Coordinate the preparation of customer proposals and statements of work
• Ensure that projects are delivered in line with EPAM processes and methodologies, with a focus on agile approaches
• 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 and participate in the bid process
• Help mentoring and coaching other delivery managers
• Actively contribute to EPAM-wide delivery management community

Want more jobs like this?

Get jobs in Barra do Garças, Brazil delivered to your inbox every week.

Get Jobs

Send me The Muse newsletters for the best in career advice and job search tips.

By signing up, you agree to our Terms of Service & Privacy Policy.

• At least 5 years of experience in gathering and understanding customer business requirements to introduce Big Data technologies
• Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, and 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)
• Familiarity with multiple Big Data technology stacks (e.g. Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka, etc.)
• Hands-on knowledge of some of the tools and techniques (e.g. Python, Scala; data mining, predictive analytics, machine learning, etc.)
• Good understanding of classical analytics methods including relevant theories
• Strong background experience with Programming Languages such as Python, Scala, or Java
• Experience with one or more leading cloud providers (AWS/Azure/GCP), and leading role in on-prem to cloud migration project(s)
• Strong SQL experience
• Data Architecture understanding
• Strong Client Management skills
• Proficiency with Cloud Data
• Strong Experience in Software Delivery Cycle and familiarity with Agile methodologies
• Excellent communicational skills with C1 English level proficiency