Global Data Platform Director, Deloitte Global Technology

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 Global Data Platform Director role is a unique role that will drive immediate and global impact to help lead the formation and build the foundations of the new Data Strategy & Governance Office (DSGO) at Deloitte Global.
The Director, Global Data Platform is a strategic leadership role responsible for defining, building, and evolving the organization’s global data platform to enable scalable analytics, AI, and data-driven decision-making. This leader owns the platform vision, architecture, adoption strategy, and operating model, ensuring data is a trusted, secure, and accessible enterprise asset.
The role operates in close partnership with the Director of Technical Delivery, who is accountable for execution, timelines, and delivery outcomes. Together, these leaders ensure that platform strategy and architecture are effectively translated into high-quality, on-time delivery of capabilities and operations.

1. Data Platform Strategy & Vision

• Define and own global data platform strategy, roadmap, and long-term architecture aligned with Member Firm priorities.
• Oversee DSGO intake management and requirements definition for data platform use cases.
• Establish standards for data ingestion, data product development, storage management, transformations, and access across regions and domains.
• Identify opportunities for advanced analytics, AI/ML, and self-service data capabilities.

2. Platform Adoption & Value Realization

• Lead enterprise-wide adoption, positioning the platform as the primary engine for global data product development and analytics-driven decision-making.
• Define and track adoption metrics, usage, and business value realization.
• Champion self-service data capabilities to improve accessibility and reduce reliance on centralized teams.
• Drive change management to embed a data-driven culture.

3. Customer & Stakeholder Engagement

• Act as platform ambassador to internal/external customers (business units, client stakeholders, product teams).
• Engage and influence senior stakeholders (CIOs, Data Officers, Enterprise Architects) to translate evolving data needs into platform capabilities.
• Partner with business leaders to ensure delivery of business outcomes and ROI.
• Serve as a trusted advisor aligning platform capabilities with strategic priorities.

4. Leadership Communication & Executive Updates

• Provide structured updates to executive leadership on roadmap, adoption, risks, and outcomes.
• Translate complex technical initiatives into clear business narratives.
• Present platform performance, KPIs, and recommendations to governance forums.
• Proactively manage risks, dependencies, and investment decisions.

5. Operating Model & Global Enablement

• Design and implement a global operating model across regions and business units.
• Enable federated data product ownership with centralized platform standards.
• Enhance developer/user experience through automation, tooling, and platform services.
• Define and enforce data governance, quality, security, and compliance frameworks.

6. Team Development

• Lead DSGO team for intake management, use case requirements, discovery, and product management.
• Drive development and adoption of global data products and data mesh methodologies.
• Manage budget for data platform services and technical delivery; align investments with strategy.
• Foster innovation, collaboration, and engineering excellence; mentor leaders and build succession pipelines.

7. Partnership with Director of Technical Delivery

• Ensure alignment between platform strategy and execution.
• Collaborate with Technical Director to build a high-performing engineering team.
• Provide strategy, priorities, and design guardrails; Technical Delivery Director owns execution, timelines, and quality.
• Jointly govern delivery progress, dependencies, and value realization.

8. Innovation & Continuous Improvement

• Collaborate with internal compliance teams to reduce time to value for data products.
• Evolve data governance practices within GDP service.
• Stay current on cloud data platforms, AI/ML, streaming, and DataOps.
• Drive adoption of modern engineering practices (CI/CD, Infrastructure as Code, DataOps).
• Continuously optimize performance, reliability, and cost efficiency.

Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment, we operate not in "what is" but rather "what can be" to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived.

Experience

• 10+ years leading data and platform strategies, and related leadership roles in platform management, product management, and/or data governance roles
• Proven experience building and scaling enterprise/global data platforms, data products, and AI/ML products
• Experience leading large-scale adoption and transformation initiatives that are cross-functional and/or global in nature
• Building, leading and growing product teams which navigate business needs and emerging technologies
• Strong understanding and experience with data management practices such as master data management, data cataloging and data modeling

Leadership & Business Skills

• Proven ability to drive adoption, influence stakeholders, and deliver measurable business value
• Strong communication skills to translate technical topics into executive-level insights
• Experience engaging with senior clients or executive stakeholders to implement change, such as new technologies and operating models that drive innovation across the organization

Platform Expertise

Good understanding of:

• Data product and Data Mesh Methodologies
• Product Management processes and operations
• Data or Analytic Use Case Delivery, including requirements, discovery, model design and estimation.
• Data Development Operations and Support
• Cloud platforms (Databricks, Azure, AWS, GCP)
• Modern data architectures (lakehouse, warehouse, real-time streaming)
• Data processing frameworks (e.g., Spark, Kafka)
• Strong grounding in data governance, security, and compliance.

The salary range for this position is $140,000 - $260,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.