AVP Cloud Data Analytics Architecture

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.

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.

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 (Fin Ops), 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.

What makes you an ideal candidate:

• Architect the data and analytics platform including AI/ML and GenAI capabilities to support the Company’s vision, goals, and strategies.
• Develop cloud architecture solutions for data, machine learning, artificial intelligence (including LLMs), and analytics leveraging Azure, Informatica, and Databricks including cloud infrastructure.
• Translate broad strategies into AI-enabled data architecture blueprints and roadmaps, aligning to strategic objectives and measurable business outcomes.
• Collaborate with Data Leadership to define cloud data & AI architecture, Digital Transformation, and Data & Analytics priorities and goals.
• Partner with the VP Cloud Data Analytics Architecture on department performance and accountability for business results.

• Architect the end-to-end flow of data and AI features from transactional systems and master data through curation layers (bronze/silver/gold) into cloud data platforms (ADLS, Delta Lake) and consuming applications/services.
• Design RAG (Retrieval-Augmented Generation) and LLM reference architectures on Azure using Databricks, Azure Machine Learning, Azure Cognitive Search (vector), and Azure OpenAI Service where appropriate.
• Architect and monitor data and model pipelines across Event Hubs/Service Bus, APIs/microservices, and streaming frameworks to support real‑time analytics and AI inference.
• Establish AI‑ready data models, semantic layers, and feature engineering standards to fuel ML and GenAI workloads.
• Interact with software vendors, data and service providers supporting AI/data architecture and integration initiatives in the cloud.
• Define and…