GM Financial · 1 day ago
AVP Cloud Data Analytics Architecture
Irving, TX
Full-time
Hybrid
Mid, Senior Level
7+ years expGM Financial is committed to AI-powered transformation and digital innovation. The AVP Cloud Data Analytics Architecture will lead the cloud data architecture team, partnering with stakeholders to design and deploy enterprise cloud data and AI solutions while ensuring scalability and compliance.
Finance
Responsibilities
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 report release needs for product/architecture with respect to business objectives, security, data dependency, compliance, and timeliness
Collaborate with business and technical teams to develop end-to-end enterprise solutions for data, analytics, machine learning, and artificial intelligence in the cloud
Coach, mentor, and train cloud data architecture team members on AI platform patterns, MLOps / LLMOps , Databricks ML, Azure ML, and secure development practices
Assist leadership in annual planning, budgeting, and capacity planning for AI & data platform investments and managed services
Champion an environment of trust, continuous improvement, innovation, quality outcomes, and self-development
Develop relationships with key business and technical decision makers; drive long-term cloud data & AI adoption; enable internal advocacy and best-practices sharing
Share insights and best practices; proactively remove architectural blockers to accelerate AI and data initiatives
Qualification
Required
7–10 years building enterprise-scale cloud data architecture and applications to support ML/AI and analytics
7–10 years in cloud application development solutions (PaaS, SaaS, IaaS, Serverless, Data Orchestration, API Management)
7–10 years with scalable architectures using Azure App Service, API Management, serverless, container orchestration, microservice frameworks
7–10 years with DevOps and CI/CD toolchains (Azure DevOps, GitHub)
Leadership: 7–10 years management or leadership experience
High School Diploma or equivalent
Bachelor's Degree in a related field or equivalent work experience
Preferred
3+ years delivering production ML/AI solutions, including Databricks ML and Azure Machine Learning
Master's Degree in a related field
Microsoft Certified: Azure Solutions Architect Expert
Azure Data Engineer Associate
Azure AI Engineer Associate
Databricks: Certified Data Engineer Professional / Machine Learning Professional
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
Company
GM Financial
GM Financial is the captive finance company and a wholly-owned subsidiary of General Motors Company.
5001-10000 employees
H1B Sponsorship
GM Financial has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (101)
2024 (91)
2023 (86)
2022 (81)
2021 (55)
2020 (50)
Funding
Current Stage
Late StageTotal Funding
unknown2010-09-29Acquired
Leadership Team
Katie DeGraaf
Senior Vice President, OnStar Insurance, Product & Telematics
Ross Reichardt
AVP - OnStar Insurance
Recent News
2025-11-12
2025-11-04
2025-10-10
Company data provided by crunchbase