Digital & Tech Management Director - Solutions Delivery -Richardson, TX
Dallas or Plano or Richardson
OnsiteFull Time
CBRENYSE: CBRE: Provides global commercial real estate services and investment management.
8+ YOEBachelor's degree, 8+ years in digital technology or delivery management, experience with multi-tenant SaaS and enterprise analytics, cloud (AWS/Azure/GCP), GenAI/LLMs, Python/Spark/APIs, MLOps experience, global team leadership, and strong stakeholder and financial skills. Must be authorized to work in the U.S. without sponsorship.
RTXNYSE: RTX: Provides advanced aerospace and defense systems and services.
12+ YOE12+ years applying AI/ML to deliver production systems, experience with LLMs, secure MLOps/DevSecOps, cloud and embedded deployment, and ability to obtain TS/SCI clearance (U.S. citizenship required).
Sourcing - Director, Data Science: Data Science Tools
Boston or Portsmouth or Seattle or Columbus or Plano
$120k-$257k/yrHybridFull Time
Liberty Mutual Insurance: Global provider of property and casualty insurance products.
3+ YOESenior technical data science role building internal tooling, pipelines, and Python packages; experience with MLOps, AI/LLM tooling, workflow orchestration, and Python development tools. Advanced quantitative background and multi-year relevant experience required.
CinemarkNYSE: CNK: Operates an international chain of motion picture movie theaters.
5+ YOEBachelor's in a quantitative field (Master's preferred), 5+ years applying data science/OR to business, proficiency in Python and SQL, experience with Microsoft Azure and Fabric, Power BI, Apache Airflow, ML frameworks and MLOps, strong communication and analytical skills.
Python, SQL, Microsoft Azure, Microsoft Fabric, Apache Airflow, Microsoft Power BI, Pandas, scikit-learn, PyTorch, TensorFlow
Plano or New York City or San Francisco or Philadelphia or United States or Canada or United Kingdom or Philippines
$286k-$327k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
9+ YOEBachelor's degree, 9+ years software development, 7+ years AI development, experience leading engineering teams and scaling production ML/AI systems, knowledge of LLM orchestration, generative AI pipelines, MLOps, and secure/ethical AI deployment.