Principal Consultant - Data Governance (Strategy Execution & Value Realization)

Inbox Business Technologies

Riyadh

On-site

SAR 250,000 - 380,000

Full time

4 days ago
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Job summary

Inbox Business Technologies is looking for an experienced Principal Consultant — Data Governance to own governance for the data-and-AI vertical within a multi-vertical Strategy Execution & Value Realization Office, ensuring strategic initiatives deliver measurable benefits and sustained architectural compliance while acting as the senior governance link to executive stakeholders.

The role requires a Bachelor’s degree with 8+ years in data governance or related fields, and experience engaging

Qualifications

  • 8+ years of relevant experience in data governance or strategy execution advisory, with senior‑level stakeholder engagement.
  • Experience designing governance operating models for large, multi-workstream portfolios.
  • Experience engaging Enterprise Architecture and senior executives in complex organisations.
  • Knowledge of MoP, MSP, P3O; DAMA-DMBOK; TOGAF is a plus.

Responsibilities

  • Design and own governance operating model, templates and tools for the data-and-AI vertical.
  • Own cross-vertical coordination for the data-and-AI vertical — portfolio visibility, dependency mapping, and escalations.
  • Governance framework for initiative delivery: stage gates, milestones, risk/issue/dependency management, budget oversight, quality/change governance.
  • Lead governance relationship with Enterprise Architecture and ARB participation, architecture decision records, and compliance with standards.
  • Own the executive reporting relationship for the vertical: dashboards, portfolio reports, scorecards, insights for senior stakeholders.
  • Set the benefit-realization methodology for the vertical and validate value delivery before closure.
  • Develop and own governance frameworks, standards, templates and playbooks across the portfolio, including KPI tooling oversight.
  • Lead maturity assessments of governance and portfolio management, benchmarking and improvements.
  • Own transition/continuity planning for governance at horizon end, including options for continuation or re-tender.
  • Provide senior mentorship and quality oversight to the Senior Consultant supporting the vertical.

Skills

Executive stakeholder engagement
Governance design
Cross-vertical coordination
Portfolio and programme governance
Benefits realization
Mentorship

Education

Bachelor's degree in Data Management/Information Systems/Business/Engineering

Job description

Inbox Business Technologies is looking for an experienced Principal Consultant — Data Governance to own the data-and-AI-vertical governance relationship within a multi-vertical Strategy Execution & Value Realization Office, ensuring strategic initiatives within that vertical are delivered with rigorous governance, measurable benefits, and sustained architectural compliance. Act as the senior escalation point for cross-vertical dependencies and the primary governance counterpart to executive stakeholders.

Employment Type: Full-time employment

Key Responsibilities:
  • Design and own the operating model, governance structure, methodologies, templates and tools used to run strategy execution governance for the data-and-AI vertical, as part of a broader multi-vertical governance office.
  • Own cross-vertical coordination for the data-and-AI vertical — portfolio visibility, dependency mapping against other verticals, and escalation of issues that exceed a single vertical's authority.
  • Own the governance framework for strategic-initiative delivery: stage gates, milestones, risk/issue/dependency management, budget oversight, quality and change-request governance across the vertical's strategic objectives and initiatives.
  • Lead the governance relationship with the Enterprise Architecture function — coordinating Architecture Review Board participation, maintaining architecture decision records, and ensuring solution designs remain compliant with enterprise standards.
  • Own the executive reporting relationship for the vertical: executive dashboards, portfolio reports, scorecards and decision-support insights, reported on an agreed cadence to senior stakeholders.
  • Set the benefit-realization methodology for the vertical — defining success measures, validating business cases, and confirming that initiatives deliver expected value before closure.
  • Develop and own governance frameworks, methodologies, standards, templates and playbooks used across the vertical's portfolio, including oversight of the KPI cascade tooling that connects strategic themes down to operational KPIs.
  • Lead periodic maturity assessments of governance, portfolio management and value-realization capability, benchmarking against industry practice and directing improvement initiatives.
  • Own transition and continuity planning for the vertical's governance function at the end of the current strategy horizon, including options for continuation, re-tender or in-house transition.
  • Provide senior mentorship and quality oversight to the Senior Consultant supporting the vertical.
  • Bachelor's degree in a relevant field (e.g., Data Management, Information Systems, Business, Engineering) with a minimum of 8 years' relevant experience in data governance, enterprise/programme governance, or strategy execution advisory — including at least 3‑5 years operating at a principal/senior‑advisory level with direct executive stakeholder engagement.
  • Demonstrable experience designing and running governance operating models for large, multi-workstream strategic portfolios.
  • Demonstrable experience engaging Enterprise Architecture functions, Architecture Review Boards, and senior executive stakeholders in complex organisations.
  • Portfolio and programme governance frameworks (e.g., MoP, MSP, P3O); data governance frameworks (e.g., DAMA-DMBOK).
  • Benefits realization methodology, KPI architecture design and executive reporting.
  • Executive stakeholder engagement, escalation management and cross-functional facilitation.
  • CDMP (DAMA) — preferred; PMP / PgMP or MoP — preferred; TOGAF — a plus.
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