Data Modeling & Data Governance Senior Consultant - 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 Senior Consultant Data Modeling & Data Governance within the business-aligned GES Technology group, you will drive the design, standardization, and governance of enterprise data assets across the Data & Analytics team. This role will focus on building high-quality conceptual, logical, and physical data models while helping define and operationalize data governance practices that improve data consistency, quality, usability, and compliance.

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.

• Develop and maintain conceptual, logical, and physical data models for enterprise and domain initiatives.
• Partner with business stakeholders, data architects and analysts to translate business requirements into scalable data models and standards.
• Advance the enterprise conceptual and canonical data models to improve consistency across systems, integrations, and reporting.
• Ensure data models align with enterprise architecture standards, integration patterns, and reporting needs.
• Define and document business terms, data definitions, data standards, and critical data elements.
• Establish and support data governance frameworks, policies, and processes covering data ownership, stewardship, metadata, lineage, quality, privacy, retention, and access controls.
• Support data cataloging, metadata management and lineage documentation activities to improve data transparency and control.
• Ensure compliance with regulatory, security, and privacy requirements, including policies that protect sensitive data and support applicable standards such as GDPR.

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 a related field.
• 3+ years of relevant experience in data management consulting or industry roles, with focus in data governance, data modeling, data standards, metadata, and data quality, plus hands‑on data modeling experience including conceptual, logical, and physical models as well as applying data modeling techniques (entity‑relationship, star/snowflake schemas, and 3rd normal form).

• Demonstrated experience using data modeling tools such as Erwin, Lucid or Visio.

• Demonstrated experience with business glossaries, critical data elements and catalog/metadata practices.
• Demonstrated experience in data governance work including data definitions, standards, metadata, lineage, data quality, stewardship and ownership.
• Demonstrated…