Data Governance & Quality Lead
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
This is a Senior level Data Governance and Quality Lead position focused on establishing the foundational governance, ownership, quality, and operating practices needed to create greater trust in enterprise data and support major technology modernization initiatives.
This is a hands-on transformation role rather than a policy-only governance position. You’ll work across technology and business teams to understand how critical data is created, changed, interpreted, and consumed; establish ownership and stewardship; define authoritative Systems of Record; build practical data catalog and business glossary capabilities; and establish sustainable data-quality, lineage, issue-management, and escalation practices.
You’ll also partner with teams supporting ERP, reporting, integrations, data platforms, and other modernization initiatives to identify data dependencies and migration risks. The initial engagement will focus on establishing a practical governance foundation and operating model that can ultimately be sustained by permanent organizational owners and data stewards.
Requirements
- Significant experience leading data governance and/or enterprise data-quality initiatives in complex organizations
- Demonstrated experience establishing governance where formal data ownership and stewardship are immature or inconsistent
- Strong knowledge of data governance, data quality, metadata management, data lineage, Systems of Record, master/reference data, and data lifecycle practices
- Experience creating practical data catalogs, business glossaries, ownership models, and data-quality frameworks
- Ability to trace business information from source through transformations and downstream consumption
- Technical depth to collaborate effectively with data engineering, database, application, integration, BI, architecture, and analytics teams
- Experience with cloud data platforms and modern enterprise reporting/analytics environments
- Experience supporting major ERP, application, data-platform, or enterprise modernization initiatives
- Strong facilitation, change-management, written documentation, and executive communication skills
- Retail, distribution, supply chain, complex legacy modernization, and Snowflake or comparable cloud data platform experience are preferred
Benefits & conditions
PAY: Target pay for this role is between $75 and $90 per hour but may vary based on experience
ENGAGEMENT TYPE: Contract
DURATION: Contract expected to last 6-12 months, with option to extend, Excellent benefits. We offer medical, dental, vision, 401k, education reimbursement, sick leave, and employer-paid short-term disability and life insurance. Review our detailed benefits here.
About the company
Our client is an established enterprise organization undergoing significant technology and data modernization. The organization is focused on creating a more trusted, governed, and sustainable enterprise data foundation.
WHY ProFocus:
Candidates come first. ProFocus is a five-time award winner for Best in Staffing for Talent Satisfaction due to our World-Class service to our amazing candidates.
Quality process. We invest the time to learn about your skills, experience, and career goals in detail so we can find you a position that is a great fit.
Access to hiring managers. We have close relationships with some of the most respected companies, from small businesses to Fortune 500 companies. Due to those relationships, we can provide direct access to managers and positions that may not be available anywhere else.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Loading talks and stories from around this role…