Sr Associate, Data Transformation & Governance

We need to output HTML fragment with sections: About the role (position summary), Responsibilities (Essential Duties & Responsibilities), Requirements (Qualifications & Requirements). Possibly also Benefits, Pay, Schedule if present. The posting does not mention pay, schedule, benefits. So we should not include those sections. We must not repeat job title as heading. Use

for section headings. Use

• for any list of duties/requirements/benefits, and

  for prose. We need to preserve all substantive information, not invent or summarize away detail. Remove boilerplate etc. We need to include sections only when posting has real specific content. We have content: Position Summary (under "Senior Associate, Data Transformation & Governance - Position Summary:"), then "Essential Duties & Responsibilities:" list, then "Qualifications & Requirements" list, then "Preferred Experience" (maybe part of qualifications). Also "Success Measures" maybe could be considered as part of responsibilities? It's more like performance metrics. Could be a separate section? The instruction: prefer a few substantive sections over many thin ones. We could incorporate Success Measures into Responsibilities or Requirements? It's more like performance expectations. Could be a separate section "Success Measures". But we need to decide if we should create a section for it. The posting includes "Success Measures" with bullet points. That is substantive. Could be its own section. However we need to avoid many thin sections. We have three main sections already; adding a fourth may be okay if it's substantive. But we could also merge Success Measures into Responsibilities (as they are outcomes). However the instruction: "Prefer a few substantive sections over many thin ones." So maybe better to keep three sections: About the role (position summary), Responsibilities (including essential duties and success measures), Requirements (qualifications & requirements + preferred experience). That seems reasonable. We need to format lists: For duties, we have many bullet points (starting with "Support the application..." etc). We'll turn each into

• . For qualifications, we have a paragraph of requirements then bullet list? Actually the qualifications section is a paragraph with multiple sentences separated by periods. It might be better to treat as

  prose. But we can also split into

  if they are distinct items. The instruction: Use
  • for any list of duties/requirements/benefits. So if the qualifications are presented as a list (they are separated by periods but not bullet list), we could still treat as prose. However we can convert each requirement into
  • for clarity. But we must preserve all substantive information; converting to list is okay as long as we don't lose info. The instruction says use
    • for any list of duties/requirements/benefits. If the original is not a list, we could still use

      . Safer to keep as

      for qualifications. However there is also "Preferred Experience" which is a list of bullet-like items. Could be turned into

      . Thus structure:

      About the role

      Position summary text.

      Responsibilities

      • ...
      ...
      Maybe also include Success Measures as part of responsibilities? Could add another
      under responsibilities? But we can just add them as additional
      • items after the duties. That would preserve all. Then

        Requirements

        Qualifications & Requirements paragraph.

        Preferred Experience

        ? But we only allowed

        for section headings. Could we use

        for Preferred Experience as a subsection? The instruction says use

        for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid other headings, but we should stick to those. Could incorporate Preferred Experience into Requirements as a

        or

        . Probably better to add a
        under Requirements for Preferred Experience. Thus:

        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 related enterprise technology roles.Experience supporting data governance activities within data migration, integration, modernization, archival, analytics, or large-scale transformation programs.Exposure to governing unstructured and semi-structured content alongside structured data, including mail, file storage, collaboration platforms, and service management records.Working knowledge of records retention practice, including retention categories, retention triggers, disposal timing, and the evidence required to support disposal.Understanding of legal hold and preservation obligations and their effect on routine disposal activity.Experience supporting merger, acquisition, divestiture, or acquired-company technology and data integration initiatives preferred.Working knowledge of data governance frameworks, data ownership, data stewardship, critical data elements, data quality management, metadata, lineage, catalog and glossary practice, retention, and governed data delivery.Experience documenting data quality rules, profiling outputs, remediation actions, reconciliation activities, issue tracking, and readiness metrics.Familiarity with data governance technologies such as data catalogs, metadata management platforms, lineage tools, MDM platforms, data quality tools, workflow tools, or data issue management capabilities.Understanding of data protection and compliance concepts, including privacy, classification, access management, masking, retention, and internal policy controls.Awareness of retention and documentation requirements arising from professional standards in an audit, tax, or advisory environment, or comparable regulated experience.Ability to work with business and technology stakeholders, translate governance concepts into practical documentation, and support alignment across teams.Strong organizational, analytical, documentation, communication, facilitation, and stakeholder follow-up skills.Bachelor’s degree in Information Systems, Data Analytics, Business, Computer Science, Engineering, or related field required; relevant data governance, privacy, records management, security, project management, or cloud and data certifications preferred.

        • Experience operating in a professional services, consulting, accounting, or complex global enterprise environment.
        • Experience with governance and data platform tools such as Microsoft Purview, Collibra, Informatica, Alation, Snowflake, Power BI, ServiceNow, or comparable technologies.
        • Experience with retention, classification, or eDiscovery capabilities across mail, file storage, and collaboration platforms.
        • Experience supporting data archival, historical data retention, legacy system decommissioning, or compliance-driven data preservation initiatives.
        • Experience contributing to governance playbooks, stewardship operating materials, data readiness checklists, data quality scorecards, issue management routines, and dashboard reporting.
        • Experience working with implementation partners, systems integrators, vendors, or consulting teams within transformation programs.
        • Experience supporting cross-functional governance forums, data decision groups, or working sessions with business, technology, risk, legal, privacy, and security stakeholders.
        • Exposure to cross-border data handling, including data residency and local privacy requirements.
        We need to ensure we preserve all substantive information from the posting. Let's extract the position summary text exactly: "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." We need to include that as prose under About the role. Now responsibilities: list all essential duties bullet points. Let's extract them exactly as they appear (starting with "Support the application and maintenance..."). List: - 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