Senior Manager, Data Science- Digital Transformation, Manufacturing

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us!

Job Description

The Senior Manager, Data Science leads the delivery, growth, and technical direction of applied data science engagements for industrial and manufacturing clients. This is a dual-mandate role to own delivery and commercial outcomes, while developing our team of data scientists, consultants, and engineers.

Reporting to the Principal and Global Lead of Data Science and AI, this remote role sits at the intersection of physical systems and modern AI. The goal is to translate plant-floor and enterprise manufacturing problems into production-grade models. These models include predictive quality, process optimization, model predictive control, digital twin, industrial data operations, and predictive maintenance. The clients operate and sustain these models after we leave. We're delivering solutions on Rockwell's Autonomy stack and best-in-class partner technology.

Your Responsibilities:

Client Delivery & Program Leadership

• Manage delivery across a portfolio of data science engagements including scope, staffing, schedule, quality, margin, and risk.
• Be the senior authority on engagements by consulting on use case selection, setting modeling approach, reviewing architecture and results, and leading delivery expansion.
• Translate client challenges into ML/AI use cases; lead proof-of-concept work and own the path from pilot to scaled production deployment.
• Manage delivery escalations and course corrections; enforce objective, measurable acceptance criteria on every deliverable.

Commercial & Account Growth

• Be a trusted advisor to operations, engineering, and C-suite stakeholders; build and expand executive relationships across priority manufacturing accounts.
• Lead customer co-innovation opportunities.
• Lead pursuit and proposal work: shape opportunities, author scope and estimates, and author or review SOWs and change orders with defensible scope boundaries and commercial protection.
• Carry a sales-support/origination target in partnership with sales/account leadership; convert delivery credibility into follow-on and expansion work.

People & Practice Leadership

• Lead delivery teams
• Mentor and train our staff
• Develop services and software offerings
• Build reusable assets, accelerators, and methods that reduce delivery cost and raise consistency across engagements.

Technical & Capability Development

• 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.

The Essentials - You Will Have:

• Bachelor's Degree in Relevant Field.
• Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
• The ability to travel to client sites.

The Preferred - You Might Also Have:

• Advanced degree (Masters/PhD) in a quantitative discipline.
• 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.

What We Offer:

• 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.
• To learn more about our benefits package, please visit at www.raquickfind.com.

At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.

This position is part of a job family. Experience will be the determining factor for position level and compensation.

We are an Equal Opportunity Employer including disability and veterans.

If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (844) 404-7247.

Originally posted on Himalayas