EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

No less important is the safety, well-being, and experience of our applicants. Therefore, until further notice, all EPAM employment interviews will be conducted remotely. Our recruitment professionals and hiring managers are standing by to ensure a robust and engaging virtual candidate experience. We look forward to speaking with you!Learn more about our Data Practice here.

We are looking for thought leaders possessing deep consulting and technology acumen to solve our clients’ toughest technology, strategy and transformation problems from a Data Management and Governance perspective through creating strategies and technology solutions.

Responsibilities

Engage deeply with senior executives to define and execute Enterprise-wide Data Management & Governance Strategy programs and business-cases, often becoming the “trusted advisor”
Lead Data Management & Governance assessments to help clients gradually improve capabilities from current state to the viable state of maturity by creating strategy, roadmaps and implementation plans
Leverage your deep understanding of business and IT capabilities to build technology solutions for Data Management and Governance which help to innovate and create value across the client organization
Provide end-to-end services from strategy ideation and use case elaboration to MVP implementation and further enterprise scaling-out
Lead customer conversations and architectural teams to define modern Data Management architecture and developing practices to manage data through its lifecycle
Support business development efforts, including proposal development, Statements of Work, and client presentations
Create consulting offerings and reusable templates

Requirements

Bachelor's or Master’s Degree in Information Technology or related discipline
Minimum 3 years in a Consulting role leading Data Management & Governance initiatives
Deep practical subject matter expertise in at least 2-3 of the following areas: Data Governance Operating model & Policies, Data Quality, Master Data Management, Metadata Management & Data Cataloging, Data Lineage, Data Compliance
Understanding of data governance frameworks (DAMA, DCAM), methodologies, processes and how to implement them
Experienced in building relationships with directors and C-levels stakeholders by developing a deep understanding of the customer business and driving data-driven insights
Practical expertise in conducting maturity assessment and gap analysis and providing strategic roadmap and solution implementation guidelines
Hands-on experience in running customer workshops and other collaboration sessions to discover customer priorities, understand current state, and determine maturity/readiness to execute on enterprise Data Management & Governance vision
Expertise on industry & market trends with tools scoring model for selecting fit for purpose technology solution and tailoring and applying industry best practices at scale
Extensive practical expertise with modern data stack, agile environments, and high-end technologies
Ability to work independently, manage small engagements with multiple work threads, or parts of large engagements
Excellent verbal and written command of the English language, to drive client side discussions and draft concise documentation when required

Nice to have

Experience in leading data transformation projects
Technology expertise with one or several commercial or open-source tools, e.g., Collibra, Alation, Informatica, Ataccama, Azure Purview, Atlas, Talend, Soda
Understanding of modern concepts as Data Observability, DataOps and Data Mesh
Technology expertise in modern Big Data & Cloud stack: Spark, Snowflake, Databricks, etc
Practical expertise in implementation of Data Governance for modern cloud data lakes