Senior Consultant Data Governance Strategy Execution And Value Realization
Your tasks
Operate the governance processes, templates and tools established for the vertical, maintaining consistency with the wider governance office's operating model.
Perform portfolio visibility and dependency mapping for the vertical, flagging cross-vertical dependencies and issues for escalation where they exceed the vertical's authority.
Track stage gates, milestones, risks, issues, dependencies, budgets, quality and change requests across the vertical's strategic initiatives, maintaining accurate delivery-health status.
Review solution designs against enterprise architecture standards, prepare materials for Architecture Review Board sessions, and maintain architecture decision records.
Build and maintain the KPI cascade and executive dashboards, portfolio reports and scorecards for the vertical, ready for agreed-cadence reporting to senior stakeholders.
Monitor business value and outcomes against strategic and operational KPIs, support post-implementation reviews, and help validate that initiatives deliver expected value before closure.
Develop and maintain governance templates, playbooks and supporting tooling, including day-to-day administration of the KPI cascade tool.
Support periodic maturity assessments of governance and portfolio-management capability and help implement agreed improvements.
Requirements
Bachelor's degree in a relevant field (e.g., data management, information systems, business, engineering) with a minimum of 5 years' relevant experience in data governance, portfolio or programme governance, or related advisory work.
Experience operating governance processes.
Experience building or maintaining KPI dashboards and portfolio reporting.
Portfolio and programme governance operations, change control, and data governance fundamentals.
KPI dashboard development and portfolio reporting (e.g., Power BI or similar).
Enterprise architecture compliance review support.
Stakeholder coordination and structured documentation.
CDMP (DAMA) preferred; PMP or Prince2 a plus; a BI-platform certification (e.g., Power BI Data Analyst).