AVP Cloud Data Analytics Architecture

GM Financial • Irving, TX

2d

About The Position

The AVP Cloud Data 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.

Requirements

• Experienced cloud data architect.
• Hands-on expertise in Azure (Data & AI).
• Hands-on expertise in Databricks (Delta Lake, MLflow, Model Registry, Feature Store).
• Hands-on expertise in APIs.
• Hands-on expertise in microservices.
• Hands-on expertise in event-driven architectures.
• Passion for building agile teams.

Responsibilities

• 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 cloud, data, machine learning, and AI platforms are scalable, secure, cost-optimized (FinOps), and compliant.
• 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 to scale global data and AI architecture and capabilities across the enterprise.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed