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AVP Cloud Data Analytics Architecture

GM Financial
Posted a month ago, valid for a day
Location

Irving, TX, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • GM Financial is seeking an AVP Cloud Data Analytics Architecture to lead their cloud data architecture team and scale the Data & Analytics organization globally.
  • The ideal candidate should have extensive experience in cloud data architecture, particularly with Azure, Databricks, APIs, and microservices.
  • This role requires a strong focus on designing and deploying Enterprise Cloud Data and AI solutions while ensuring scalability, security, and compliance.
  • The position emphasizes collaboration with cross-functional teams and building partnerships to enhance global data and AI architecture capabilities.
  • The salary for this position is competitive, and candidates should have a minimum of 5 years of relevant experience.

Why GM Financial Technology?

Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.

Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

This position will be posted until filled.

About the role:

The AVP Cloud Data Analytics Architecture will lead the cloud data architecture team and scale the Data & Analytics organization globally. As an experienced cloud data architect, this role will partner with business stakeholders to capture data, analytics, AI/ML, and GenAI requirements; design, develop, and deploy Enterprise Cloud Data and AI solutions; and integrate data from disparate sources across cloud, hybrid, and multi-cloud environments, deploy compliant infrastructure and support cloud resources (SRE).  

They will bring hands-on expertise in Azure (Data & AI), Databricks (Delta Lake, MLflow, Model Registry, Feature Store), APIs, microservices, and event-driven architectures. The AVP will ensure the cloud, data, machine learning, and AI platforms are scalable, secure, cost-optimized (FinOps), and compliant to meet future growth and business domain requirements. With a passion for building agile teams, this leader will drive planning and execution while collaborating across cross-functional teams to deliver mission-critical outcomes. The AVP will build strong partnerships with cloud data architects, cloud platform teams, engineering teams, and vendors to scale global data and AI architecture and capabilities across the enterprise. 

This position reports to the VP,  IT Delivery and Deployment




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