Manager - Senior Manager, AI & Data

AI & Data | Data Management and Governance | Manager 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. 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 • 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