AVP – Cloud Data Analytics Architecture

Role Overview

• 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

• 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

Tech Stack

• Azure
• Cloud
• Informatica
• Oracle

Benefits

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