Director, Data Management Capabilities and AI Readiness

Deloitte•Tampa, FL

About The Position

Deloitte Global is the engine of the Deloitte network, developing and leading global initiatives and delivering strategic programs and services across the organization. The Director, Data Management Capabilities & AI Readiness defines and leads the strategy, operating model, and delivery of enterprise data management capabilities. The role is the business owner for cross-domain capabilities serving the Deloitte network, including Master Data Management (MDM), Metadata Management, Data Quality, Taxonomy Management, Reference Data, Ontology and Context Management, and Data Modeling. Working across global applications, business functions, architecture teams, product organizations, and operational teams, the Director establishes scalable capabilities, drives adoption of enterprise standards and procedures, and develops trusted data assets for business operations, analytics, AI, regulatory compliance, and decision-making. The position connects business executives, application owners, enterprise architects, operations leaders, and technology teams to align stakeholders and reach consensus on complex data decisions across a global organization. It establishes measurable outcomes, monitors performance, and continuously evolves capabilities toward a defined and governed target state and maturity model. The role also contributes to the DSGO’s integrated strategy and operating model for managing global data and AI products across their lifecycle, supporting business outcomes, innovation, and client service. It leads a global team of data management professionals and subject matter experts and drives execution through governance, influence, and disciplined delivery management, including direct reports and dotted-line teams.

Requirements

Bachelor’s degree in Information Management, Computer Science, Data Management, Business, or a related discipline.
12+ years of experience in enterprise data management, data governance, data architecture, or related disciplines.
7+ years leading global teams and enterprise-scale transformation initiatives.
Proven leadership of master data, metadata, data quality, taxonomy, or data governance programs as the voice of the business with technical teams, particularly for cross-domain data assets.
Experience establishing operating models and governance frameworks across multiple business units and geographies.
Experience working closely with application and operations teams in large, federated organizations.
Confident communication skills, including the ability to engage effectively with executive leadership and translate complex data concepts into business outcomes.
Ability to build relationships across organizational boundaries and act as a trusted advisor to executives, business leaders, architects, product teams, and internal customers across multiple geographies.
Demonstrated ability to navigate politically complex environments and facilitate alignment amid competing objectives, balancing enterprise goals with stakeholder requirements.
Ability to drive execution through governance, influence, and disciplined delivery management, leading direct reports and dotted-line teams.

Nice To Haves

Master’s degree preferred.
Experience with data governance tools such as Informatica, SAP MDG, Collibra, or Databricks Unity Catalog.

Responsibilities

Define and execute data management strategy for Master Data Management, Metadata Management, Ontology and Context Management, Data Quality, Taxonomy and Reference Data, and Enterprise Data Models.
Develop multi-year roadmaps aligned with business priorities, digital transformation objectives, and AI enablement goals.
Establish and evolve enterprise operating models, governance forums, stewardship structures, and accountability frameworks.
Champion trusted, governed data as a strategic enterprise asset.
Lead a global team of data management professionals and subject matter experts.
Design and implement sustainable operating models for global and regional data domains.
Define roles, responsibilities, decision rights, escalation paths, and governance forums.
Build collaboration models among business teams, application owners, product teams, Enterprise Architecture, operations teams, and data and analytics functions.
Establish service delivery models that support consistent execution across multiple geographies and applications.
Drive adoption of standardized processes for metadata, data quality, data architecture, taxonomy, and data quality remediation.
Lead enterprise master data governance programs across domains such as Customer, Vendor, Products, and People.
Define authoritative sources, golden record strategies, hierarchy management approaches, and lifecycle management approaches.
Establish data management practices for reference data and shared enterprise data.
Connect enterprise data capabilities to business strategy, operational effectiveness, and AI enablement through measurable outcomes and accountability structures.
Align stakeholders and build consensus on complex data management decisions across a global organization.
Monitor performance and evolve enterprise data management capabilities toward a defined target state and maturity model.
Drive execution through governance, influence, and disciplined delivery management across direct reports and dotted-line teams.