AI Co-Innovation Engineering Program Manager

Rockwell Automation

Manage complex, cross-functional AI engineering programs at Rockwell Automation. Collaborate with engineering teams and external partners to drive innovation and operational success.

Posted 7/2/2026full-timeMilwaukee • Ohio, Texas, Wisconsin • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in program management within software and AI environments, leveraging performance metrics such as OKRs and KPIs to drive operational rigor and optimize cross-functional collaboration. Maintains a strong technical foundation in modern AI systems, enabling effective communication and alignment with engineering and product teams.

Highest-signal resume keywords

Program ManagementAI Systems KnowledgeCross-Functional CollaborationExecutive CommunicationTechnical Feasibility Assessment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Program ManagementPerformance MetricsAI SystemsML PipelinesSoftware EngineeringTechnical PartnershipsRisk ManagementResource ManagementProcess OptimizationStakeholder Engagement

Soft Skills

LeadershipCommunicationAccountabilityStrategic ThinkingProblem Solving

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

AISoftwareEngineeringData ScienceRoboticsAutonomyVendor IntegrationCo-DevelopmentExecutive UpdatesOKRs

About the role

Key responsibilities & impact

Drive the operational rigor of complex, cross-functional programs
Serve as a credible technical thought partner to engineering teams and external technology partners
Manage a portfolio of programs end-to-end: plans, milestones, performance metrics, risks, and resource needs
Define and run the communication plan for each program — landing strategy, rhythm of business, executive updates, and decision logs
Establish objectives and success criteria with stakeholders, hold teams accountable, and shepherd decisions to closure
Use OKRs, KPIs, and other performance metrics to demonstrate program value and business impact
Recognize process gaps and inefficiencies, and drive optimization across the portfolio
Advise internal stakeholders on technical feasibility and trade-offs
Maintain working knowledge across modern AI systems — LLMs, agentic frameworks, ML pipelines
Promote reference architectures, standards, and reusable patterns from partner engagements.
Map partner capabilities to internal opportunities, helping business units see what's possible.
Jointly qualify and prioritize partner opportunities with the AI Engineering Programs Manager.
Engage internal teams — engineering, product groups, R&D — to confirm capability to execute and to unblock technical and business obstacles as they surface.

Requirements

What you’ll need

Bachelor's Degree in relevant field
Legal authorization to work in the US is required
Typically requires a minimum of 12 years of related experience
Bachelor's Degree in Computer Science, Engineering, Data Science, or equivalent practical experience
5+ years of program management experience in software, AI, or other deeply technical environments
Track record of producing executive-quality updates and driving alignment in writing
Background as a software engineer, AI/ML engineer, or in an adjacent technical role
Working knowledge of modern AI systems — LLMs, agentic frameworks, ML pipelines — and/or robotics and autonomy stacks
Experience working with or inside technology partnerships (joint engineering, co-development, vendor/partner integrations)
Experience building and running programs that require cross-org collaboration and support from leadership.
A genuine passion for product roadmaps shaped by AI capabilities.

Benefits

Comp & perks

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.