Strategic Data Transformation & Governance Lead

Grant Thornton

Edison (NJ)

Hybrid

USD 104,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) plan
Paid sick leave
Holidays

Job summary

Grant Thornton is seeking a Senior Associate in Data Transformation & Governance to join GTech. You will help embed governance into data migration, integration, and analytics enablement, covering both structured data and unstructured content across acquisitions.

The role involves inventory, classification, and documentation work, collaborating with data owners, stewards, security, legal, and risk teams to ensure data is accurate, secure, and ready for analytics.

Qualifications

  • Bachelor's degree or higher in information systems, data analytics, or related field.
  • Experience in data governance, transformation, quality, or privacy.
  • Familiarity with unstructured data and data retention concepts.

Responsibilities

  • Support enterprise data governance for acquired‑company integration.
  • Inventory and classify structured and unstructured data across systems.
  • Document governance requirements with stakeholders and owners.
  • Maintain ownership documentation and approval records for data domains.
  • Coordinate with Legal, Privacy, Risk, Compliance, and Security teams on controls.

Skills

Data governance
Data transformation
Data quality
Documentation
Stakeholder management

Education

Bachelor's degree in Information Systems or related field

Tools

Microsoft Purview
Collibra
Informatica
Alation
Snowflake
Power BI
ServiceNow

Job description

Grant Thornton is seeking a Senior Associate in Data Transformation & Governance to join GTech. You will help embed governance into data migration, integration, and analytics enablement, covering both structured data and unstructured content across acquisitions.

The role involves inventory, classification, and documentation work, collaborating with data owners, stewards, security, legal, and risk teams to ensure data is accurate, secure, and ready for analytics.

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