Drive a research-led innovation pipeline focused on measurable business outcomes
Lead a high-performing team of AI researchers, data scientists, and ML engineers
Drive enterprise AI maturity through expertise in ML, optimization, simulation, and agentic systems
Foster a culture of experimentation, scientific rigor, and cross-functional collaboration
Set the technical vision, standards, and operating mechanisms for responsible, high-integrity AI development
Embed governance, transparency, and compliance into all AI workflows
Align AI strategy with enterprise priorities by partnering with senior leaders across operations, finance, sales, service, and product
Provide deep insight into performance drivers using analytics, predictive modeling, and intelligence frameworks
Map decision workflows to ensure AI systems reflect real-world constraints and information flows
Model human decision behavior to reveal bottlenecks and validate operational alignment
Lead development of agentic models that simulate operational and commercial scenarios
Lead user-centered pilots to ensure trust, usability, and adoption readiness
Deliver scalable AI solutions through reusable APIs, microservices, and CI/CD practices
Ensure robust MLOps, reliable deployment, and continuous monitoring for long-term system performance
Co-design AI solutions with customers and partners to create new value streams
Represent the company as a senior AI voice at conferences and industry events

Requirements

Advanced degree (Ph.D. preferred) in a quantitative discipline
15+ years in AI/ML, data science, or advanced analytics
5+ years leading research or engineering teams
Proven ability to convert complex research into deployed, high-impact AI systems
Deep expertise in ML, multi-objective optimization, agentic AI, simulation, and digital twins
Strong executive communication and cross-functional leadership capabilities
Experience in industrial, IoT, building systems, autonomous systems, or supply-chain domains preferred
Record of patents, publications, or recognized external AI leadership preferred
Experience scaling AI platforms, APIs, and microservices in real-time or edge environments preferred
Ability to travel on a quarterly basis

Benefits

401(k) plan with a generous company match and an automatic retirement contribution
Comprehensive medical, prescription drug, dental, and vision coverage
Three weeks of paid vacation
Paid company holidays
Paid sick leave
Employee assistance and wellness incentive programs
Life insurance and disability coverage
Voluntary benefits including options for legal, pet, home, and auto insurance
Generous birth/adoption and parental leave benefits
Adoption assistance
Tuition reimbursement program
Service anniversaries and spot performance bonus opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningoptimizationsimulationagentic systemspredictive modelinganalyticsMLOpsAPIsmicroservicesCI/CD

Soft Skills

executive communicationcross-functional leadershipteam leadershipcollaborationscientific rigorculture of experimentationtrust buildingusability focusoperational alignmentinsight generation

Certifications

Ph.D. in quantitative discipline