Sr Associate, Data Transformation & Governance

Grant Thornton is seeking a Data Transformation & Governance Senior Associate to join the team. Approved office locations can be found below.

Senior Associate, Data Transformation & Governance - Position Summary

Grant Thornton GTech’s vision is centered around enabling scalable, secure, and repeatable data transformation capabilities that support enterprise transformation, mergers and acquisitions, and modern analytics. The Data Transformation & Governance function is responsible for embedding governance, quality, stewardship, compliance, and data standards into transformation initiatives so that data from acquired companies is accurate, secure, compliant, and ready for analytics and business decision-making.

Scope extends well beyond structured data. Every acquisition arrives with records held in mailboxes, personal and shared file storage, collaboration sites, chat history, service management platforms, and line-of-business applications, alongside the structured data in HR, finance, and client systems. Much of the firm’s retention and legal exposure sits in that unstructured content rather than in the database tables. This function is expected to see the whole estate, catalog it, determine how each category should be handled, and advise the integration teams accordingly.

The Senior Associate, Data Transformation & Governance will support governance activities for acquired-company data integration, helping embed governance principles into data migration, integration, modernization, archival, and analytics enablement efforts. The role carries hands-on responsibility for the inventory, classification, and documentation work that governance decisions depend on, across both structured systems and unstructured content. It works with business stakeholders, data owners and stewards, Data & Analytics, Enterprise Architecture, Security, Privacy, Legal and Risk, application teams, and implementation partners to document governance requirements, support data quality and readiness activities, maintain stewardship materials, and help deliver trustworthy, governed, and usable data assets.

Essential Duties & Responsibilities

• Support the application and maintenance of enterprise data governance frameworks for acquired-company integration, including standards, roles, ownership expectations, stewardship routines, escalation paths, and performance metrics.
• Assist with embedding governance requirements into data transformation initiatives, including data migration, integration, modernization, archival, reporting, and analytics enablement activities.
• Build and maintain the data estate inventory for assigned acquisitions, covering structured application data alongside mailboxes, file storage, collaboration sites, chat and meeting content, service management records, and line-of-business repositories.
• Catalog acquired-company content by category, sensitivity, ownership, business purpose, and disposition, and keep that inventory current as discovery progresses.
• Prepare handling recommendations for each content category and provide them to tenant consolidation, application, service management, and end user technology teams in a form they can act on during migration planning.
• Support review of unstructured and semi-structured content for regulated, privileged, personal, and client-confidential material, and document the handling, access, and protection requirements that result.
• Track identification and assignment of accountable data owners for acquired-company data domains, maintain ownership documentation, and flag data domains where ownership has not been established.
• Prepare and maintain approval records for new or materially changed use of data, and for external sharing and third-party access, so the approval trail is complete and traceable.
• Identify data appearing in the environment without established ownership, registration, or approval, and route it for review.
• Apply enterprise retention categories to acquired-company data and content, distinguishing records that must be retained from working copies, duplicates, and transient content, and escalate items that do not classify cleanly.
• Document retention periods, retention triggers, and disposal timing for acquired-company data and archived datasets, and track upcoming disposal eligibility.
• Support defensible disposal activities by preparing schedules, gathering approvals, and capturing evidence of completion.
• Verify legal hold and business hold status before disposal, decommissioning, or archival activity proceeds, and maintain records of holds applicable to acquired-entity data through to release.
• Document circumstances that extend retention beyond standard periods, including inherited contractual commitments, audit and investigation activity, and content with long-term business value, and prepare exception or extension requests where requirements cannot be met.
• Support coordination with service line quality and risk stakeholders on which acquired-entity records must be retained to satisfy professional standards for audit, tax, and advisory work, and reflect those determinations in working documentation.
• Capture jurisdictional differences across assigned entities, including local privacy, data residency, and statutory retention requirements, and flag conflicts with enterprise requirements.
• Support data quality and standardization activities by documenting data quality rules, profiling outputs, root-cause findings, remediation actions, reconciliation expectations, and quality gate evidence.
• Help standardize data definitions, formats, critical data elements, metadata, lineage information, and ownership documentation across acquired-company sources and enterprise target-state platforms.
• Maintain catalog and business glossary entries for acquired-company data domains so consumers can determine meaning, context, provenance, and appropriate use.
• Support data stewardship activities by maintaining steward and owner documentation, tracking assigned stewardship actions, coordinating follow-ups, and helping promote accountability for data assets.
• Assist with adoption and use of governance technologies such as data catalog, metadata management, lineage, data quality, master data management, and data issue management tools.
• Work with IT, data platform teams, and vendors to document governance technology requirements, support pilots, validate tool outputs, and contribute to rollout materials.
• Collaborate with Legal, Privacy, Risk, Compliance, and Security teams to help document data protection controls, classification, access control, masking, retention, and disposal requirements.
• Prepare governance reporting and metrics, including data quality scores, policy adherence, stewardship engagement, remediation progress, issue aging, readiness gate status, and governance maturity inputs.
• Create dashboards, status updates, meeting materials, and issue logs that communicate governance progress, risks, readiness, decisions needed, and business value.
• Facilitate or support cross-functional working sessions to align transformation activities with governance requirements and ensure data decisions are traceable and documented.
• Support source-to-target mapping, lineage, reconciliation, data issue resolution, and integration readiness activities during acquired-company data transformation efforts.
• Promote consistent governance practices by communicating expectations, maintaining documentation, and helping teams understand the value of trusted, compliant, and reusable data.
• Identify opportunities to improve governance work products, data quality controls, stewardship routines, metadata practices, reporting, and repeatable transformation delivery practices.
• Other duties as assigned.

Qualifications & Requirements

4+ years of experience in data governance, data transformation, data management, data quality, data integration, records and information management, data privacy and compliance, analytics, or relat