Manager - Senior Manager | AI & Data - Data Management and Governance | UAE - Dubai
Deloitte Middle East · Dubai, United Arab Emirates · 6d ago
AI & Data | Data Management and Governance | Manager
About Deloitte: When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training & Development Excellence Award.
Our Purpose
Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.
Our shared values guide the way we behave to make a positive, enduring impact:
- Lead the way
- Serve with integrity
- Take care of each other
- Foster inclusion
- Collaborate for measurable impact
Technical Capabilities:
- on experience (10–15 years) designing, implementing and maturing enterprise data management capabilities.
- Deep working knowledge of data management frameworks and standards such as DAMA, DCAM, CDMP, CMMI’s DMM, PPDM (Professional Petroleum Data Management) and relevant national standards (e.g., NDMO for KSA). Ability to map/align these standards to client operating models.
- Proven delivery experience across the following data domains: data governance, metadata management, data quality, master & reference data management, data architecture, or data lineage/integration.
- Experience implementing data management artefacts: governance operating models, policies, standards, business glossaries, data catalogues, data dictionaries, enterprise data models and stewardship processes.
- Practical experience with leading data management tools and platforms (e.g., Collibra, Informatica Axon, OneTrust, Erwin, Talend, Alation) and integration with cloud hyperscalers (AWS, Azure, GCP). Experience with Informatica is a plus.
- time and historian data sources.
- Ability to collaborate and translate between data engineers, architects, data scientists, OT/IT teams and senior business stakeholders to design pragmatic, secure and operational data solutions.
- Exposure to data security, privacy and regulatory compliance, including PII handling, data retention and access control models for operational data.
Functional Capabilities:
- Strong commercial acumen: ability to identify business opportunities where data management drives measurable value (revenue uplift, cost reduction, safety and operational efficiency).
- level proposal content and commercial responses, along with quality and risk management journey internally.
- Client engagement & account handling: lead senior client interactions, manage stakeholder expectations, present to C-suite audience, and act as a trusted advisor across programme lifecycles.
- Translate technical concepts into business cases and ROI models to support investment decisions for data management initiatives.
- functional teams to deliver under tight deadlines.
- Identify process improvements and deliver change programmes to embed data capabilities into business operations.
Leadership Capabilities:
- leadership behaviors.
- Lead, mentor and develop multidisciplinary teams; provide performance feedback and career development guidance.
- Take ownership for engagement financials, resource planning and delivery quality; manage risk and escalation appropriately.
- market propositions and leverage Deloitte capabilities.
- business leaders to achieve programme outcomes.
- Strong communication and presentation skills with the ability to influence at executive levels and translate complex topics into business outcomes.
Required Qualifications:
- Undergraduate or postgraduate degree in Computer Science, Information Systems, Engineering, Data Science, Geoscience, Petroleum Engineering, or related discipline.
- 10 –15 years’ experience in data management or related disciplines.
- Proven track record leading data governance, metadata, data quality or master data programs.
- Experience leading proposal development, BD activities and managing client relationships.
- Strong communication, presentation and stakeholder management skills; fluent English (written & spoken).
- Knowledge of data management platforms and cloud ecosystems; comfortable with OT/IT integration challenges in industrial environments
Additional Preferred Qualifications:
- Experience in Consulting/Big Four is a must, leading consulting firms or global system integrators is a plus.
- Arabic language is a plus.
- Professional Certification in DAMA, DCAM, CDMP or CMMI’s DMM is a plus