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Jobs · Business Development · Texas

AVP Cloud Data Analytics Architecture

GM Financial · Irving, TX · 1 wk ago
HybridBusiness DevelopmentFull-time

About the role

The AVP Cloud Data Analytics Architecture will lead the cloud data architecture team and scale the Data & Analytics organization globally. They 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).

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.

  • Aid 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.

Qualifications

  • 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.

  • 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

  • Microsoft Certified: Azure Solutions Architect Expert

  • Microsoft Certified: Azure Data Engineer Associate

  • Microsoft Certified: Azure AI Engineer Associate

  • Databricks: Certified Data Engineer Professional / Machine Learning Professional

What We Offer

  • 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 and nine company holidays.

  • Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.

  • Compensation: Competitive pay and bonus eligibility.

  • Work Life Balance: Flexible hybrid work environment, 3-days a week in Las Colinas, TX office.

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