
10,000+ employees
Founded 1903
🚘 Automotive
💼 Consulting
🎖️ Defense
💰 Grant on 2023-07
Automotive • Consulting • Defense
Rockwell Automation is a global leader in industrial automation and digital transformation. The company provides a range of services and products, including industrial control products, software for design and analytics, and solutions for asset management and process management. Rockwell Automation helps industries such as aerospace, automotive, and life sciences become more efficient and sustainable through cutting-edge technology and innovations. They deliver integrated services that encompass everything from hardware and software to cybersecurity and network infrastructure solutions, driving digital transformation and smart manufacturing processes.
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10,000+ employees
Founded 1903
🚘 Automotive
💼 Consulting
🎖️ Defense
💰 Grant on 2023-07
Automotive • Consulting • Defense
Rockwell Automation is a global leader in industrial automation and digital transformation. The company provides a range of services and products, including industrial control products, software for design and analytics, and solutions for asset management and process management. Rockwell Automation helps industries such as aerospace, automotive, and life sciences become more efficient and sustainable through cutting-edge technology and innovations. They deliver integrated services that encompass everything from hardware and software to cybersecurity and network infrastructure solutions, driving digital transformation and smart manufacturing processes.
• Lead the delivery, growth, and technical direction of applied data science engagements for industrial and manufacturing clients • Own delivery and commercial outcomes while developing data scientists, consultants, and engineers • Translate plant-floor and enterprise manufacturing problems into production-grade models • Manage delivery across a portfolio of data science engagements, including scope, staffing, schedule, quality, margin, and risk • Serve as senior authority on engagements by advising on use-case selection, modeling approach, architecture, and results • Lead proof-of-concept work and drive the path from pilot to scaled production deployment • Manage delivery escalations and course corrections; enforce measurable acceptance criteria • Build and expand executive relationships across manufacturing accounts • Lead customer co-innovation opportunities • Lead pursuit and proposal work, including opportunity shaping, scope and estimates, SOWs, and change orders • Support sales and account leadership with origination and expansion work • Lead delivery teams; mentor and train staff • Develop services, software offerings, reusable assets, accelerators, and methods • Grow the practice's applied AI capability in industrial contexts • Work with internal groups and ecosystem partners to shape solutions and go-to-market offerings
• Bachelor's Degree in Relevant Field • Legal authorization to work in the U.S.; Rockwell Automation will not sponsor individuals for employment visas, now or in the future, for this job opening • Ability to travel to client sites • Advanced degree (Masters/PhD) in a quantitative discipline (preferred) • Typically requires 12+ years of professional experience, including 5+ years in a delivery role • 5+ years in a client-facing consulting, professional services, or internal-consulting capacity, including ownership of engagement scope, budget, and margin • Demonstrated delivery in a manufacturing, industrial, energy, or process-intensive environment • Hands-on depth in the modern ML stack; production experience with time-series, forecasting, optimization, or control-adjacent modeling • Experience deploying models into sustained operation (MLOps, monitoring, retraining, and handover to client teams) • Ability to translate technical outputs into executive-ready recommendations and defend them under scrutiny • Direct experience with industrial data operations, model predictive control, advanced process control, or digital twin implementations • Familiarity with industrial data infrastructure: historians (PI, FactoryTalk), MES/SCADA, ISA-95 context, edge/cloud data pipelines • Prior experience in consulting or a comparable industrial-AI practice • Experience building and scaling a team from a small base
• Health Insurance including Medical, Dental and Vision • 401k • Paid Time off • Parental and Caregiver Leave • Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.
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