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Quest Training

Chief Data Officer (CDO) & Data Office Management Training Course

Prepares data leaders to define the CDO mandate, set up the Data Office operating model and use governance to turn data into a strategic asset.

DOPS · Data & AI Operating ModelsAll Levels#2559ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Sectors:Data, Analytics & Digital TransformationCategories:Data & AI Operating Models

Course Overview

This advanced executive-level course develops the strategic and managerial capabilities required to establish, lead, and manage an effective Data Office. It focuses on the Chief Data Officer’s role in transforming data into a strategic organizational asset that supports business performance, decision-making, governance, risk management, and digital transformation. Participants will examine the CDO mandate, Data Office operating models, governance structures, data ownership, accountability, data strategy, data quality, architecture, analytics, and organizational capabilities. The programme emphasizes how the Data Office can create measurable business value while maintaining appropriate governance and control. The course also addresses executive stakeholder management, data culture, data literacy, regulatory and privacy considerations, performance measurement, investment prioritization, and the alignment of data initiatives with enterprise strategy. Through practical executive scenarios, participants will assess Data Office maturity, design operating models, define governance structures, prioritize strategic initiatives, establish performance measures, and develop transformation roadmaps for sustainable enterprise data management.

Learning Objectives

  • Analyse the strategic mandate and responsibilities of the Chief Data Officer.
  • Define the role, authority, and operating scope of an enterprise Data Office.
  • Assess organizational data maturity and identify strategic capability gaps.
  • Develop and align enterprise data strategy with business objectives.
  • Design effective Data Office operating models, structures, and responsibilities.
  • Establish data governance, ownership, accountability, and decision rights.
  • Develop approaches for data quality, security, privacy, and regulatory compliance.
  • Align data architecture, analytics, technology, and business requirements.
  • Establish mechanisms for measuring data value and Data Office performance.
  • Prioritize data initiatives, investments, and transformation programmes.
  • Strengthen executive engagement, data culture, and organizational adoption.
  • Develop a practical roadmap for establishing or transforming a high-performing Data Office.

Who Should Attend

This course is designed for Chief Data Officers, Data and Analytics Executives, Data Office Directors, Heads of Data, Data Governance Leaders, Chief Information Officers, Chief Digital Officers, and senior technology and transformation executives. It is also suitable for senior managers responsible for enterprise data strategy, governance, analytics, information management, digital transformation, risk, compliance, privacy, and organizational performance. The programme is particularly relevant to organizations establishing a Data Office, strengthening existing data governance structures, implementing enterprise data strategies, or seeking to increase the measurable business value generated from data.

Learning Outcomes

  • Define the strategic mandate and responsibilities of a Chief Data Officer.
  • Assess the maturity and effectiveness of an existing Data Office.
  • Develop an enterprise data strategy aligned with organizational priorities.
  • Design an appropriate Data Office operating model and organizational structure.
  • Establish clear data ownership, accountability, governance, and decision rights.
  • Develop frameworks for managing data quality, security, privacy, and compliance.
  • Align data architecture and analytical capabilities with business requirements.
  • Establish performance indicators for measuring Data Office effectiveness and business value.
  • Evaluate and prioritize data initiatives according to strategic value, risk, and feasibility.
  • Develop executive stakeholder engagement and organizational adoption strategies.
  • Strengthen data culture and enterprise data literacy.
  • Develop an actionable roadmap for establishing, transforming, and continuously improving a Data Office.

Course Outline

Day 1

Chief Data Officer Role, Mandate & Data Office Strategy

  • Evolution of the Chief Data Officer role.
  • Strategic responsibilities and executive mandate of the CDO.
  • Data as an enterprise strategic asset.
  • Relationship between the CDO, CIO, CTO, CDO, business executives, and other leadership functions.
  • Defining the Data Office mission, scope, and authority.
  • Assessing organizational data maturity.
  • Identifying data capability gaps and strategic priorities.
  • Aligning data strategy with enterprise strategy.
  • Establishing the Data Office value proposition.
  • Practical Application: Assess the maturity of a Data Office and develop a CDO mandate and strategic priorities for a selected organization.
Day 2

Data Office Operating Model, Governance & Accountability

  • Data Office operating models and organizational structures.
  • Centralized, federated, and hybrid approaches.
  • Data governance frameworks and decision structures.
  • Data ownership and stewardship.
  • Defining accountability and decision rights.
  • Data policies, standards, and enterprise principles.
  • Data quality governance and issue management.
  • Data security, privacy, and regulatory responsibilities.
  • Coordination between the Data Office and business functions.
  • Practical Application: Design a Data Office operating model with governance structures, roles, responsibilities, and decision rights.
Day 3

Data Architecture, Analytics & Enterprise Data Capabilities

  • Strategic role of enterprise data architecture.
  • Data platforms, integration, and accessibility.
  • Data Lakes, Lakehouses, warehouses, and analytical environments.
  • Data architecture alignment with business requirements.
  • Business intelligence and advanced analytics capabilities.
  • Data products and reusable enterprise data assets.
  • Emerging technologies and their impact on the Data Office.
  • Balancing innovation, scalability, security, and cost.
  • Building sustainable enterprise data capabilities.
  • Practical Application: Develop a target data capability model and architecture priorities aligned with organizational business requirements.
Day 4

Data Value, Performance & Executive Leadership

  • Measuring the business value of data.
  • Data Office performance indicators and executive dashboards.
  • Prioritizing data initiatives and investment portfolios.
  • Developing business cases for data programmes.
  • Executive stakeholder engagement and communication.
  • Building data-driven organizational culture.
  • Data literacy and capability development.
  • Managing resistance and organizational change.
  • Communicating data strategy and value to senior leadership.
  • Practical Application: Develop a Data Office performance framework and executive reporting model linking data initiatives to measurable organizational outcomes.
Day 5

Data Office Transformation, Investment & Strategic Roadmap

  • Translating data strategy into executable programmes.
  • Prioritizing initiatives according to value, risk, complexity, and feasibility.
  • Developing Data Office transformation phases.
  • Establishing implementation governance and progress monitoring.
  • Managing strategic, organizational, and technology risks.
  • Building sustainable funding and investment models.
  • Measuring transformation outcomes and business impact.
  • Establishing continuous improvement mechanisms.
  • Positioning the Data Office as a strategic enterprise function.
  • Final Workshop: Develop and present a complete Data Office transformation roadmap covering the CDO mandate, operating model, governance, target capabilities, strategic initiatives, performance measures, investment priorities, organizational enablement, and implementation phases.

Upcoming Dates

Selected date

Amman · 14 – 18 Feb 2027 · Classroom

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2 – 6 Nov 2026€5,100—
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16 – 20 Nov 2026€4,200—
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22 – 26 Nov 2026€3,100€2,790until 2 Nov
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23 – 27 Nov 2026€5,400€4,860until 2 Nov
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ManamaScheduled
30 Nov – 4 Dec 2026€4,700€4,230until 9 Nov
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MakkahScheduled
30 Nov – 4 Dec 2026€4,200€3,780until 9 Nov
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IstanbulScheduled
7 – 11 Dec 2026€4,700€4,230until 16 Nov
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14 – 18 Dec 2026€4,300€3,870until 23 Nov
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27 – 31 Dec 2026€4,200€3,780until 7 Dec
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28 Dec 2026 – 1 Jan 2027€5,400€4,860until 7 Dec
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18 – 22 Jan 2027€5,100€4,590until 28 Dec
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18 – 22 Jan 2027€4,200€3,780until 28 Dec
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25 – 29 Jan 2027€5,800€5,220until 4 Jan
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Kuala LumpurScheduled
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SalalahScheduled
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ViennaScheduled
8 – 12 Feb 2027€5,700€5,130until 18 Jan
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AmmanScheduled
14 – 18 Feb 2027€3,100€2,790until 25 Jan
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AbujaScheduled
22 – 26 Feb 2027€5,100€4,590until 1 Feb
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AmsterdamScheduled
22 – 26 Feb 2027€5,400€4,860until 1 Feb
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AccraScheduled
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