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