Director, Data Management & AI Readiness

Deloitte Global is the engine of the Deloitte network.

Our professionals reach across disciplines and borders to develop and lead global initiatives.

We deliver strategic programs and services that unite our organization.

Work you'll do

Deloitte Global is the engine of the Deloitte network.

Our professionals reach across disciplines and borders to develop and lead global initiatives.

We deliver strategic programs and services that unite our organization.

The Director, Data Management & AI Readiness is responsible for defining and leading the strategy, operating model, and delivery of enterprise data management capabilities.

The role is the business owner for cross-domain data management capabilities that serve the Deloitte network, including Master Data Management (MDM), Metadata Management, Data Quality, Taxonomy Management, Reference Data, and Data Modeling.

Working across global applications, business functions, architecture teams, product organizations, and operational teams, the Director will establish scalable data management processes, drive adoption of enterprise standards and procedures, and develop trusted data assets for business operations, analytics, AI, regulatory compliance, and decision-making.

This leader serves as a key connector between business executives, application owners, enterprise architects, operations leaders, and technology teams, aligning diverse stakeholder perspectives and driving consensus on complex data management decisions across a global organization.

This role is expected to establish measurable outcomes, monitor performance, and continuously evolve enterprise data management capabilities to an aligned target state and maturity model that the role will also define and govern.

The DSGO is responsible for building an integrated strategy and operating model to manage global data and AI products across their lifecycle, enabling better business outcomes, innovation, and client service.

Key responsibilities

1.

Strategy & Leadership



* Define and execute the data management strategy for:
+ Master Data Management
+ Metadata Management
+ Ontology and Context Management
+ Data Quality
+ Taxonomy and Reference Data
+ Enterprise Data Models


* Develop multi-year roadmaps that align to business priorities, digital transformation objectives, and AI enablement goals.


* Establish and evolve enterprise operating models, governance forums, stewardship structures, and accountability frameworks.


* Champion the importance of trusted, governed data as a strategic enterprise asset.


* Lead a global team of data management professionals and subject matter experts.

2.

Data Management Operating Model Development



* Design and implement sustainable operating models supporting global and regional data domains.


* Define roles, responsibilities, decision rights, escalation paths, and governance forums.


* Build effective collaborat...