Data Delivery Manager

EPAM Systems; Malaysia; On-site; MYR 180,000 - 360,000; Full time

Job summary

EPAM Systems Inc. is seeking a Data Delivery Manager to lead end-to-end delivery for data and analytics programs as teams modernize platforms toward multi-cloud.

You will drive governance, risk management and automation to deliver quality, scalable data solutions across client programs. You will collaborate with data engineers and architects to ensure robust architecture and implementation, while aligning stakeholders and managing priorities in a fast-moving environment.

Qualifications

• Minimum track record delivering data/analytics programs across complex environments.
• Experience building data pipelines across ingestion, storage, processing and consumption.
• Comfort working with multi-cloud (Azure, AWS, GCP) and modern data platforms.

Responsibilities

• Own end-to-end delivery across data and analytics workstreams for assigned accounts.
• Coordinate day-to-day execution across teams, stakeholders, dependencies and blockers.
• Track progress, delivery health and productivity, driving continuous improvement.
• Lead delivery governance including planning, estimation, reporting and risk management.
• Manage delivery escalations, expectations and communication with client and leadership.
• Partner with engineering leads to ensure architecture and implementation meet quality standards.
• Plan resourcing needs, onboarding and role alignment to the delivery roadmap.
• Support proposals and statements of work, contributing delivery and technical input when needed.

Skills

Data delivery

Data engineering

Cloud platforms

Big data ecosystems

Agile delivery

Stakeholder management

Problem solving

Data security

Data migration

Python/Scala

AI data delivery

Tools

Apache Spark

Apache Kafka

Hadoop

Hive

Python

Scala

Job description

Lead cloud data delivery for complex, client-facing programs. We are seeking a Data Delivery Manager. You will own end-to-end delivery for data and analytics programs as teams modernize platforms toward multi-cloud. You keep work moving across multiple workstreams, align stakeholders and make delivery predictable. You bring a technical foundation in data engineering and cloud. You help teams improve quality and reliability through strong delivery governance, automation and clear risk management, with growing focus on AI-enabled data solutions.

Responsibilities

• Own end-to-end delivery across data and analytics workstreams for assigned accounts
• Coordinate day-to-day execution across teams, stakeholders, dependencies and blockers
• Track progress, delivery health and productivity, driving continuous improvement
• Lead delivery governance including planning, estimation, reporting and risk management
• Manage delivery escalations, expectations and communication with client and leadership
• Partner with engineering leads to ensure architecture and implementation meet quality standards
• Plan resourcing needs, onboarding and role alignment to the delivery roadmap
• Support proposals and statements of work, contributing delivery and technical input when needed

Requirements

• Technical background in Data and Analytics delivery across complex programs
• Data platform engineering knowledge across ingestion, storage, processing, integration and consumption for batch and streaming
• Cloud platform experience with Microsoft Azure or Amazon Web Services (AWS) or Google Cloud Platform (GCP)
• Big data ecosystem familiarity such as Apache Spark, Apache Kafka, Hadoop or Hive
• Agile delivery expertise with the ability to apply fit-for-purpose delivery models
• Stakeholder management strength with confidence presenting to small and large groups
• Problem-solving mindset with ability to manage multiple priorities in a fast-moving environment
• Security awareness related to data platforms and data access controls
• Nice to have Experience leading on-premises to cloud data migration programs
• Hands-on exposure to Python or Scala in data engineering contexts
• Experience supporting AI-enabled data solutions or applied machine learning delivery