Enterprise Data Steward

Role : Enterprise Data Steward

Client : Government of Virginia(VDOT)

Work Type : Hybrid(3 days onsite per week(Richmond,Virginia))

Duration : 12 Months(Extendable)

Relevant Experience : 10 Years

Max Payrate : 62$ Per Hour

eSystems Inc. is a fast-growing Systems Integrator based in Princeton, New Jersey. We provide strategic IT solutions and services with primary practice areas in Java and Microsoft centric e-Business solutions, ERP solutions, Enterprise Application Integration, Data Warehousing and Business Intelligence solutions.

Our clients include Fortune 500 corporations, government agencies, small and mid-sized local businesses, and non-profit organizations.

As an equal opportunity employer, eSystems complies with all applicable laws, rules and regulations preventing discrimination against job applicants based on: race, ethnicity, religious beliefs, gender, gender identity, age, veteran status, marital status, physical challenges, or any other relevant factor

THE JD and the required skillset are below. Please make sure that the suitable candidate has atleast 90% of the skillset mentioned

The ideal candidate is a strong communicator with data management experience who can coach, guide, and coordinate stewardship activities.

Enterprise Data Steward Job Description

The Enterprise Data Steward will support VDOT s Data Program by working directly with assigned data stewards across the agency to strengthen data management practices, improve data quality, and prepare datasets for quality measurement within our data governance tool. In this role, the staff member will facilitate regular meetings with division-level stewards, guide them through required stewardship activities, assist in developing scoping documentation, data dictionaries, and business rules. The staff member will also provide training and hands-on support to build data literacy and stewardship competency. This position serves as the primary liaison between assigned business divisions and the agency s Data Program, ensuring stewardship activities are well-coordinated, consistent, and aligned with enterprise data quality priorities. The work focuses on coaching, coordination, and applying data management expertise to help stewards prepare their datasets for enterprise data quality measurement.

Key Responsibilities and Required Abilities

• Coordinate and support assigned data stewards by facilitating monthly checkins, guiding the creation of required artifacts (scoping, data dictionaries, business rules), serving as the primary liaison between divisions and the Data Program, and assisting stewards in preparing datasets for data quality measurement within the agency s data governance tool.
• Provide training, coaching, and support on data management, data quality concepts, and data stewardship practices.
• Support agencywide data quality and stewardship by providing subjectarea guidance for defining and measuring data quality, collaborating with system owners and SMEs to resolve complex data issues, promoting data literacy and consistent data management practices, and ensuring stewardship activities follow established standards, frameworks, and governance processes.

Knowledge and Experience Needed

• Strong understanding of data management principles, data quality concepts, and stewardship processes.
• Ability to communicate clearly verbally and in writing, facilitate group discussions, and guide non-technical staff in data-related work.
• Experience helping users create or improve data dictionaries, business rules, or similar documentation.
• Ability to coordinate activities across divisions, manage priorities, and maintain organized documentation.
• Experience working in data governance, data stewardship, or a similar business-facing data role.

Tools & Additional Skills

• Familiarity with Collibra (preferred but not required; training can be provided).
• Proficiency with standard productivity tools (Excel, SharePoint, Teams, etc.).

Skill

Required / Desired

Amount(Years)

Familiarity with Collibra

Nice to have5

Proficiency with standard productivity tools (Excel, SharePoint, Teams, etc.).

Required10

Knowledge in Data Management, Data Quality, and Data Stewardship.

Required8