Data Modeling & Data Governance Senior Consultant - Global Employer Services Technology

Position Summary

Deloitte Tax LLP is seeking a Senior, Tax Technology Services to support technology-enabled solutions within our Global Employer Services practice. In this role, you will help clients address compliance obligations tied to global mobility, business travel, and remote working arrangements. The role blends tax, workforce, process, and technology experience to support practical, scalable solutions for multinational organizations.

Work you'll do

As a Senior, Tax Technology Services on the Global Employer Services Technology Group team, you will be responsible for...

• Supporting the design, implementation, and enhancement of technology-enabled solutions for global mobility, business travel, and remote work compliance programs
• Gathering, documenting, and translating business requirements into functional needs for digital tools, workflows, and reporting solutions
• Coordinating with client stakeholders, internal tax professionals, and technology teams to support delivery of project milestones and work products
• Analyzing workforce, compliance, and process data to identify issues, support reporting, and improve operational efficiency
• Assisting with testing, issue resolution, process documentation, and deployment activities for new and updated technology solutions

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

• 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 in data governance work including data definitions, standards, metadata, lineage, data quality, stewardship and ownership
• Demonstrated experience leading workstreams for data management engagements with teams distributed across multiple locations, including and facilitating cross-functional workshops with business stakeholders, technology and architecture teams to gather requirements and define data models
• Experience gathering business requirements and documenting workflows, functional needs, or user stories
• Experience supporting testing, issue tracking, and deployment activities for technology solutions
• Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available.
• One of the following active accreditations obtained, in process, or willing and able to obtain:
• Licensed CPA in state of practice/primary office if eligible to sit for the CPA
• If not CPA eligible:
• Licensed Attorney
• Enrolled Agent
• Technology Certifications:
• Data management and enterprise architecture (DAMA, CDMP, TOGAF)
• Data platform specialist (Databricks Data Engineer Associate/Professional, SnowPro Core and SnowPro Advanced Architecture for Snowflake)
• Cloud Architecture (AWS Certified Solutions Architect Associate/Professional)
• Generative AI (AWS AI Practitioner, AWS Generative AI Developer Professional, NVIDIA Generative AI LLMs and Databricks Generative AI Associate)
• Agentic AI (NVIDIA Certified Professional: Agentic AI LLMs
• Relevant industry certification such as Project Management (PMP)
• Six Sigma (Black Belt)

• Experience with data governance disciplines such as metadata management, lineage, stewardship, data quality, and policy management.
• Demonstrated experience with metadata management and data lineage tools.
• Experience with defining semantic layers for analytics and agentic AI use cases.
• Hands on experience with Data Management and Data Engineering
• Strong understanding of security, privacy, and compliance considerations in data environments.
• Exposure to defining and implementing data products within data catalog and marketplace.
• Exposure to cloud-based data lakes and warehouse technologies (Apache Iceberg, Databricks, Redshift, Snowflake)
• Experience influencing cross-functional stakeholders and leading enterprise-wide initiatives.
• Proven ability to lead, motivate, and develop a team of data professionals.
• Strong analytical and problem-solving skills.