Role: Risk Lead
Location: Toronto, ON (Onsite)
Duration: Contract
The Data Governance Lead is responsible for driving and coordinating execution of the data management activities necessary to enable the Data Sponsor to fulfill their accountabilities under the Enterprise Data Management Standard.
The role drives Data Management outcomes within the US Technology organization, including adoption of the Standard, the Annual Data Management Plan, oversight of Governed Artifacts, enterprise governance representation, and appropriate prioritization, funding and resourcing.
Key Responsibilities
1. Drive execution of the Annual Data Management Plan (ADMP)
- Coordinate development and ongoing maintenance of the Annual Data Management Plan for US Technology.
- Translate requirements of the Enterprise Data Management Standard into an actionable, multi-year execution roadmap.
- Maintain visibility into priorities, risks, assumptions, dependencies, impacted stakeholders and funding sources.
- Coordinate ongoing interlocks and progress reporting to demonstrate execution against the ADMP.
2. Coordinate adoption of the EDM Standard across the organization
- Drive implementation of applicable data management requirements across the US Technology organization.
- Coordinate activities across Data Owners, Governed Artifact Owners and operational/support roles.
- Identify execution gaps, dependencies and constraints, and bring matters requiring executive decisions, prioritization or funding to the Data Sponsor.
- Support sustainable embedding of data management activities into business-as-usual processes.
3. Manage the Governed Artifact agenda
- Coordinate identification, registration and risk-based prioritization of Outputs, Models and AI Use Cases that constitute Governed Artifacts.
- Coordinate the roadmap for onboarding existing Governed Artifacts through the ADMP.
- Track completion of applicable tiering, decomposition and downstream data-management requirements.
4. Provide Data Sponsor management information and decision support
- Establish an integrated view of progress, key risks, dependencies, resource constraints and decisions requiring Data Sponsor attention.
- Coordinate data-management metrics and reporting necessary to support governance discussions.
- Surface threshold breaches, sustained elevated data risk and material execution issues for appropriate escalation.
5. Coordinate data risk and concern management
- Maintain visibility across material Data Concerns affecting the BS/CF.
- Coordinate with accountable owners to drive remediation and escalate dependencies or constraints.
- Ensure material concerns requiring executive awareness are brought to the Data Sponsor and appropriate governance.
- Monitor themes such as persistent metadata gaps, Data Supply Chain gaps, control weaknesses and DRD non-compliance.
6. Enable Data Sponsor governance responsibilities
- Prepare the Data Sponsor for enterprise and jurisdictional data-governance forums.
- Coordinate issues requiring Data Sponsor representation, decision, escalation or follow-through.
- Track commitments and decisions arising from governance forums through resolution.
- Support coordination across US Tech boundaries where data ownership, Governed Artifacts or Data Supply Chains create dependencies.
7. Drive prioritization, funding and resource planning
- Consolidate funding and resource requirements raised by Data Owners and Governed Artifact Owners.
- Develop an integrated view of data-management investment needs for Data Sponsor prioritization.
- Track submitted versus committed funding and identify impacts to the ADMP.
- Escalate resource constraints that could affect compliance, remediation or delivery.
8. Sustain the Data Management Operating Model
- Coordinate maintenance of appropriate role assignments and coverage.
- Ensure changes to roles or organizational structures are reflected in applicable role inventories.
Key Relationships
The role would work across the Data Sponsor's organization with:
- Data Owners, who remain accountable for management of data, data quality, controls, compliance and data risk within their scope.
- Governed Artifact Owners, who retain accountability for their Outputs, Models or AI Use Cases and applicable Governed Artifact requirements.
- Data Stewards, who provide the 1B governance, review, validation and monitoring function and must remain appropriately independent of execution.
- Data Management Practitioners, who can provide operational coordination and subject matter expertise without assuming accountability assigned to the formal accountability personas.
- Enterprise Data Management Office, which defines, governs and enables enterprise Data Management capabilities.
Thank you
Praveen
praveen.s@themesoft.com
