GM Financial

AVP Cloud Data Analytics Architecture

GM Financial

full-time

Posted on:

Location Type: Hybrid

Location: Irving • Texas • United States

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Job Level

Lead

Tech Stack

AzureCloud

About the role

  • Lead the cloud data architecture team and scale the Data & Analytics organization globally.
  • Partner with business stakeholders to capture data, analytics, AI/ML, and GenAI requirements.
  • Design, develop, and deploy Enterprise Cloud Data and AI solutions.
  • Integrate data from disparate sources across cloud, hybrid, and multi-cloud environments.
  • Deploy compliant infrastructure and support cloud resources (SRE).
  • Ensure the cloud, data, machine learning, and AI platforms are scalable, secure, cost-optimized, and compliant to meet future growth and business domain requirements.
  • Drive planning and execution while collaborating across cross-functional teams to deliver mission-critical outcomes.
  • Build strong partnerships with cloud data architects, cloud platform teams, engineering teams, and vendors.

Requirements

  • 7–10 years building enterprise-scale cloud data architecture and applications to support ML/AI and analytics (required).
  • 7–10 years in cloud application development solutions (PaaS, SaaS, IaaS, Serverless, Data Orchestration, API Management) (required).
  • 7–10 years with scalable architectures using Azure App Service, API Management, serverless, container orchestration, microservice frameworks (required).
  • 7–10 years with DevOps and CI/CD toolchains (Azure DevOps, GitHub) (required).
  • 3+ years delivering production ML/AI solutions (preferred), including Databricks ML and Azure Machine Learning.
  • Leadership: 7–10 years management or leadership experience (required).
  • High School Diploma or equivalent (required).
  • Bachelor’s Degree in a related field or equivalent work experience (required). Master’s Degree in a related field (preferred).
  • Preferred Certifications (nice-to-have): Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Azure AI Engineer Associate
  • Databricks: Certified Data Engineer Professional / Machine Learning Professional
Benefits
  • Generous benefits package available on day one to include: 401K matching
  • bonding leave for new parents (12 weeks, 100% paid)
  • tuition assistance
  • training
  • GM employee auto discount
  • community service pay
  • nine company holidays

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
cloud data architecturemachine learningartificial intelligencedata analyticsdata orchestrationAPI managementDevOpsCI/CDcontainer orchestrationmicroservice frameworks
Soft skills
leadershipcollaborationplanningexecutionpartnership building
Certifications
Microsoft Certified: Azure Solutions Architect ExpertAzure Data Engineer AssociateAzure AI Engineer AssociateDatabricks Certified Data Engineer ProfessionalDatabricks Machine Learning Professional