Data Architecture & Governance Manager - Global Services Technology

Are you someone who challenges the status quo, acts autonomously, and has experience leading solution and data architecture in broad scale transformation programs? Are you ready to take the next leap in your career by leveraging your experience to influence architecture design in data and analytics / AI products that have a global impact? Are you ready to fulfill your greatest potential and make a significant impact within strategical data management and analytics / AI initiatives?

If the answer to all the above questions is "Yes," come join the world's leading professional services firm! If you are prepared and poised to take the next step in your career where you can help lead solution and software architecture decisions that drive direct impact to the Digital footprint of a global business, we want to talk to you.

As a Data Architecture and Governance Manager within the business‑aligned GES Technology group, you will oversee all aspects of data architecture, data modeling, governance, and operations. You will be responsible for defining the target‑state data architecture for data and analytics, enterprise data models and embedding governance practices that improve data quality, compliance, and business value. You will have the opportunity to partner with a team of experienced product owners, product managers and leaders from other key work streams in the practice and will be supported by a team of experienced practitioners.

• Define and maintain the enterprise data architecture, data models, standards, and roadmap aligned to business and analytics priorities.
• Lead the design of scalable, secure, and modern data platforms, including data lakes, warehouses, semantic layers, and integration patterns.
• Establish and operationalize data governance frameworks covering data ownership, stewardship, metadata, lineage, quality, privacy, retention, and access controls.
• Partner with business, engineering, security, and analytics leaders to prioritize data domains and enable trusted, high‑value data products.
• Create and enforce architecture principles, reference models, and design standards for structured and unstructured data.
• Drive master data, reference data, and common data model strategies to improve consistency across systems and reporting.
• Oversee data quality management, including rules, controls, monitoring, issue remediation, and governance forums.
• Guide the selection and implementation of data governance, catalog, lineage, and quality tooling.
• Ensure compliance with regulatory, security, and privacy requirements relevant to data management and usage.
• Oversee the day‑to‑day operations of the data architecture and governance team and implement best practices.
• Develop and enforce data security policies to protect sensitive information and comply with legal and regulatory requirements such as GDPR.
• Monitor and assess data security risks and vulnerabilities and implement measures to mitigate them.
• Train and develop your team of data professionals.

At Deloitte Tax LLP, our Global Employer Services (GES) Technology Group consultants help multinational clients develop programs, processes and digital offerings to manage a global workforce and the compliance obligations arising from global mobility, business travel and remote working. People within our technology group come from a diverse background – they partner with our go‑to‑market teams and global clients to solve challenging problems and design experiences and products that anticipate what our Deloitte clients will want and also solutions that keep them compliant with global and local regulations.

• Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co‑locate in person 2‑3 days per week.
• Bachelor's degree in Computer Science, Information Systems, Data Management, or related field.
• 5+ years of experience in data architecture, data management, or enterprise data leadership roles.
• Demonstrated experience in data management consulting or industry roles, with a focus on master data management (MDM), data governance, metadata, data architecture, data quality, data modeling, and data…