TL;DR

Avp Cloud Data Analytics Architecture (AI/ML): Leading the cloud data architecture team and scaling the Data & Analytics organization globally with an accent on data, analytics, AI/ML, and GenAI requirements. Focus on building agile teams, driving planning and execution while collaborating across cross-functional teams to deliver mission-critical outcomes.

Location: Flexible hybrid work environment, minimum of 2-days a week in our Irving, TX office.

Company

%hirify_global% is innovating in the tech space, building real solutions that make a difference through AI-powered transformation and advanced machine learning and automation.

What you will do

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.
Architect the end-to-end flow of data and AI features from transactional systems and master data through curation layers into cloud data platforms and consuming applications/services.
Coach, mentor, and train cloud data architecture team members on AI platform patterns, MLOps/LLMOps, Databricks ML, Azure ML, and secure development practices.
Develop relationships with key business and technical decision makers; drive long-term cloud data & AI adoption; enable internal advocacy and best-practices sharing.

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).
Bachelor’s Degree in a related field or equivalent work experience (required).
Leadership: 7–10 years management or leadership experience (required).

Culture & Benefits

Generous benefits package available on day one to include 401K matching.
Bonding leave for new parents (12 weeks, 100% paid).
Tuition assistance.
GM employee auto discount.
Team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging.
Flexible hybrid work environment, minimum of 2-days a week in our Irving, TX office.