AVP – Cloud Data Analytics Architecture

GM Financial

AVP driving cloud data architecture and engineering strategy for GM Financial. Leading a team to develop secure and scalable enterprise data and analytics solutions.

Posted 6/29/2026full-timeFort Worth • Texas • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting cloud data solutions and analytics platforms, with a strong focus on Azure technologies, machine learning, and artificial intelligence. Proven ability to lead data engineering teams and collaborate with finance stakeholders to deliver high-quality, governed data products.

Highest-signal resume keywords

Cloud Data ArchitectureAzure TechnologiesMachine Learning SolutionsData Engineering LeadershipDevOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud Application DevelopmentData OrchestrationAPI ManagementServerless TechnologiesContainer OrchestrationMicroservice FrameworksDevOpsCI/CD Tool ChainsAzure App ServiceData Analytics

Soft Skills

CoachingMentoringCollaborationAccountabilityCommunication

Tools & Technologies

AzureInformaticaDatabricksOracle FusionGitHubAzure DevOps

Industry Keywords

Finance Data ProductsDigital TransformationSecuritizationFP&A ReportingGovernanceCompliance

Tech Stack

Tools & technologies

AzureCloudInformaticaOracle

About the role

Key responsibilities & impact

Architect the data and analytics platform to support Company's vision, goals and strategies
Develop cloud architecture solutions and design for data, machine learning, artificial intelligence and analytics using Azure, Informatica and Databricks
Partner with the Finance business teams to design and implement governed, finance‑critical data products—ensuring accuracy, stewardship alignment, and seamless integration with enterprise data engineering standards
Enable various Finance initiatives by engineering scalable, reliable datasets that support Securitization, FP&A reporting, Oracle Fusion–based workflows, Gen‑AI Finance Assistant use cases, and advanced analytics across Finance
Collaborate with Data Leadership to define cloud data architecture, business, Digital Transformation and Data & Analytics priorities and goals
Collaborate with VP Cloud Data Analytics Architecture on department's performance to ensure accountability for achieving business results
Architect the flow of data from transactional systems, data management and master data layer, to the cloud data and analytics platform and consuming applications
Collaborate with various VP across finance groups to define and report the needs of product/architecture releases with respect to business objectives, security, data dependency, compliance, and timeliness of releases
Coach, mentor, and train data engineering team members to establish a consistent level of quality, accuracy, accountability and compliance with department standards

Requirements

What you’ll need

High School Diploma or equivalent required
Bachelor’s Degree in related field or equivalent work experience required
7-10 years of experience in building enterprise scale cloud data architecture and applications to support machine learning, artificial intelligence and analytics required
7-10 years of cloud application development solutions, PaaS, SaaS, IaaS, Serverless, Data Orchestration, API Management required
7-10 years of experience with scalable architectures using Azure App Service, API management, serverless technologies, container orchestration, microservice frameworks etc. required
7-10 years of experience with software development practices like DevOps and CI/CD tool chains, Azure DevOps, GitHub required
7-10 years management or leadership experience required

Benefits

Comp & perks

401K matching
bonding leave for new parents (12 weeks, 100% paid)
tuition assistance
training
GM employee auto discount
community service pay
nine company holidays