Enterprise Data Steward
Hybrid (2-3 days/week onsite in Richmond, VA) Enterprise Data Steward who owns data governance: documenting data definitions, lineage, and metadata, running data quality rules, and administering the Collibra catalog while training business and technical stakeholders. Suited to someone with 5+ years in data management/governance and strong communication skills.
- Compensation
- Not disclosed
- Location
- Richmond, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor's degree in Information Management, Computer Science, Business, or related field (or equivalent experience)
- 5+ years hands-on experience in data management, data governance, data quality, or a related data discipline
- Strong working knowledge of data management fundamentals: governance frameworks, metadata management, data quality management, master data management, and data lineage
- Ability to work independently with minimal supervision, manage competing priorities, and drive tasks to completion
- Outstanding interpersonal and communication skills with a track record of building trust with diverse stakeholders
- Ability to facilitate workshops, working sessions, and governance forums with participants from executives to non-technical business users
- Collaborative team player effective working autonomously or within cross-functional teams
- Familiarity with data governance concepts: data ownership, data classification, data lineage, and data lifecycle management
Nice to have
- Experience with Collibra Data Intelligence Platform, including configuration of workflows, business glossary, data catalog, and policy management
- Collibra certification (Data Steward, Data Engineer, or equivalent)
- Familiarity with DAMA-DMBOK or other recognized data management frameworks
- Experience working in public sector, regulated industries, or large enterprise environments
- Knowledge of data privacy regulations (GDPR, CCPA, HIPAA) and their governance implications
- Experience with modern data platforms (cloud data warehouses, data lakes) and related metadata tooling
- Exposure to Agile delivery methodologies and collaborative tools (Jira, Confluence, SharePoint)
Full description
Enterprise Data Steward (Hybrid; Richmond, VA)
Enterprise Data Steward | Onsite 2–3 days per week in Richmond
We are a mission-driven management and technology consulting
company committed to delivering exceptional value for our clients and the
broader community. Our experienced teams help organizations manage
transformation across IT, data governance, cloud, and security with a focus on
their customers and their people.
We utilize an innovative business model to transform the
business value of our work into social value for the community—gifting 100% of
our net profits to the community over the life of the company, with annual
community contributions that rival companies 100x our size.
Position Summary
The Enterprise Data Steward is responsible for ensuring the
quality, integrity, consistency, and appropriate use of enterprise data assets.
This position partners with business and technical stakeholders across the
organization to define, document, and enforce data standards, policies, and
governance practices that support reliable, trusted data.
The ideal candidate possesses deep knowledge of data
management fundamentals, brings a self-motivated and collaborative work ethic,
and excels at building trusted relationships with stakeholders at every level
of the organization—including non-technical business users. Experience with
Collibra or comparable enterprise data governance platforms is a strong asset.
Key Responsibilities
· Serve
as a subject matter expert and primary point of contact for enterprise data
governance, data quality, and data management practices across assigned data
domains.
· Establish,
document, and maintain data definitions, data dictionaries, lineage, and
metadata standards within the enterprise data catalog.
· Collaborate
with business and technical teams to identify, assess, and resolve data quality
issues; define and monitor data quality rules and metrics.
· Facilitate
data governance meetings, working groups, and cross-functional forums;
communicate clearly with both technical and non-technical stakeholders.
· Build
and maintain trusted relationships with business owners, data consumers, and IT