Data Governance Lead

Data Governance & Data Management Lead (Consultant) 3-6 months Contract Hybrid 2-3 days @ Mequon , WI LOCAL TO WI We do have an immediate need for Data Governance help. We are looking to have someone assist with the following activities: co-drive, drive, as well as suggest modifications and/or additions to the activities listed below. Data Governance: Issue management • What qualifies as a “data issue”: category, scope • Process for logging & tracking • Process for prioritization, escalation, reporting, SLAs • Define metrics & KPIs Data governance participants • Roles / personas / participants (stretch) KPI list business & governance (not building) • Define objective & measurable value • Determine KPIs (operational, business value, adaption) • Set targets • Assign ownership Stand up MVG bodies • Executive steering committee • Initial domain owner / steward forum • Confirm meeting cadence, charters, scope, and decision authority • Establish clear escalation paths for decisions, conflicts, and unresolved issues Governance policies, First wave of policies and standards, focused on: • Data ownership and stewardship • Data quality expectations • Access and security classification • Standard business terminology • Issue management and remediation accountability RACI (decision rights & ownership) Define: • Data owner accountability • Data steward responsibilities • Escalation authority • Technology/data management support roles Apply RACI: • Issue triage, Quality rule approval, Term definition approval, Access/security exceptions, Change control Data quality rules • Define and approve initial set of data quality rules • Focus high-value elements in the first domain(s) • Assign owners for remediation when thresholds are missed Operationalize governance workflows (triage, escalations, change control) • Create a simple intake channel with clear categories (issue, request, change) • Assign who resolves what (data stewards vs. governance council) and define escalation triggers • Enable tracking & visibility Institutionalize quarterly governance reviews • Define review structure, agenda, metrics • Align stakeholders & roles • Prepare a standard scorecard ( trends, risks, and progress against governance goals) • Assign actions, monitor progress, and carry forward into the next quarter Data Management Intake & Prioritization workflow • Create a single intake channel • Define prioritization criteria • Assign clear ownership • Maintain a transparent backlog Delivery process • Define clear steps (intake design build test release) • Align roles and responsibilities • Embed quality checks • Track progress and timelines Foundational capabilities • Identify initial data domains • Identify critical data elements • Define ownership model • Draft initial policies & standards (data ownership, quality, access/security…) Data quality monitoring • Define critical data elements (CDEs) • Establish quality rules • Monitor key metrics • Assign ownership for issues • Report and escalate trends Propose list of KPIs • Define objective & measurable value • Set targets • Assign ownership Automate data quality monitoring • Implement automated validation checks (Build rules directly into data pipelines and systems) • Set up alerting and notifications • Visualize data quality dashboards