Manager, Data & Analytics

Grant Thornton; Dallas (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Grant Thornton is seeking a Data & Analytics Manager to join the team in Dallas. The role focuses on designing, building, testing, and supporting data pipelines within enterprise standards to enable M&A integration, governance, and scalable analytics.

You will collaborate with data architecture, security, and business stakeholders to deliver reliable data solutions, archival in Snowflake, and trusted reporting across the organization.

Responsibilities

• Design, build, test, and support enterprise data pipelines that enable integration of systems,
• Design, build, test, and support enterprise data pipelines that enable integration of systems,
• Design, build, test, and support enterprise data pipelines that enable integration of systems,

Job description

Grant Thornton is seeking a Data & Analytics Manager to join the team. Approved office locations can be found below.

Manager, 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 Manager, Data & Analytics will be responsible for designing, building, testing, and supporting data pipelines within enterprise standards that enable the integration of systems from acquired companies, as well as data archival in Snowflake. This role will work closely 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, reporting, analytics, and long-term data asset management.

Essential Duties & Responsibilities:

• Design, build, test, and support enterprise data pipelines that enable integration of systems,