Data & Analytics Associate Director
US$172,000 – US$250,000 / yr base salary
Posted 16 Sep 2026
Advertised as “Associate Director, Data & Analytics”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
| Base salary | US$172,000 – US$250,000 / yr |
|---|
Field of studyBusiness, Computer Science, Data Analytics, Engineering, Information Systems (or related)
Study levelBachelor's
Study levelMaster's or higher
Grant Thornton is seeking a Data & Analytics Associate Director to join the team. Approved office locations can be found below.
Associate Director, Data & Analytics – Position Summary:
Grant Thornton GTech’s vision is centered around enabling scalable, secure, and repeatable data integration capabilities that support enterprise transformation, mergers and acquisitions, and modern analytics. The Data & Analytics function is responsible for designing and delivering governed data solutions that connect critical business and technology systems while enabling trusted reporting, archival, and analytics at scale.
The Associate Director, Data & Analytics will be responsible for designing and implementing data pipelines within enterprise standards that support the integration of systems from acquired companies, as well as data archival in Snowflake. This role will partner with data architecture, enterprise architecture, application teams, security, infrastructure, implementation partners, and business stakeholders to deliver reliable, governed, and reusable data integration capabilities that support M&A integration, operational continuity, compliance, analytics, and long-term data asset management.
Essential Duties & Responsibilities:
- Design and implement enterprise data pipelines that support the integration of systems, applications, and data assets from acquired companies.
- Build data ingestion, transformation, validation, and archival patterns that align with enterprise data architecture, security, governance, and operational standards.
- Implement data archival solutions in Snowflake that support acquired-company integration, historical reporting, data retention, compliance, and future analytics needs.
- Partner with data architecture and enterprise architecture teams to ensure pipeline designs follow approved architecture patterns, naming conventions, metadata practices, access controls, and integration standards.
- Collaborate with M&A integration, application, infrastructure, security, and business teams to understand source-system requirements, data dependencies, integration timelines, archival needs, and target-state usage patterns.
- Translate business, technical, and integration requirements into data pipeline designs, data mappings, transformation logic, quality rules, and deployment plans.
- Develop and maintain scalable data engineering processes for batch, incremental, and event-driven data movement, where appropriate, across enterprise platforms and acquired-company systems.
- Establish data quality checks, reconciliation routines, exception handling, monitoring, and operational controls to ensure pipelines are reliable, auditable, and production-ready.