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AVP – Cloud Data Analytics Architecture
GM FinancialAVP driving cloud data architecture and engineering strategy for GM Financial. Leading a team to develop secure and scalable enterprise data and analytics solutions.
Tech Stack
Tools & technologiesAzureCloudInformaticaOracle
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
ATS Keywords
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Hard Skills & Tools
Cloud Application DevelopmentData OrchestrationAPI ManagementServerless TechnologiesContainer OrchestrationMicroservice FrameworksDevOpsCI/CD Tool ChainsAzure App ServiceData Analytics
Soft Skills
CoachingMentoringCollaborationAccountabilityCommunication