Responsible for collecting and analyzing multilingual conversational data focusing on diplomatic terminology for AI models development. Ensuring linguistic accuracy and terminology consistency.
About the role
- Lead cloud data architecture team and scale Data & Analytics organization globally at GM Financial. Build partnerships for enterprise cloud data and AI solutions.
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 the cloud, data, machine learning, and AI platforms are scalable, secure, cost-optimized, and compliant to meet future growth and business domain requirements.
- 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.
Requirements
- 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.
- Leadership: 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 (nice-to-have): Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Azure AI Engineer Associate
- Databricks: Certified Data Engineer Professional / Machine Learning Professional
Benefits
- 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
- nine company holidays
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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