Director, AI4IT Office

Rockwell Automation•Milwaukee, WI

4d•Hybrid

About The Position

The Director, AI4IT Office leads Rockwell Automation’s program to redesign how IT works with AI. The goal is to double what IT delivers at the same cost by rebuilding workflows end to end, with AI agents handling routine work and people setting direction, applying judgment, and owning results. IT will be the first area to adopt the approach, and successful practices will become a playbook for the wider enterprise. The director owns the program, roadmap, and results across every IT function; runs a small central office; directs embedded teams in each IT area; and turns early pilots into measured, production-grade outcomes. The position reports to the Vice President, Strategy, Architecture, AI & Innovation. The role includes establishing program strategy and governance, identifying and prioritizing AI opportunities, redesigning workflows, managing pilots and scaled deployments, measuring value, and reporting outcomes. It also includes building responsible-AI practices, developing embedded teams and a champions network, supporting role-based AI fluency, and ensuring reskilling accompanies changes in roles. The role requires legal authorization to work in the U.S.; employment visa sponsorship is not available. Travel, including international travel, may be required up to 25% of the time. Rockwell Automation’s hybrid policy expects employees to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays, unless they have a business obligation out of the office.

Requirements

Bachelor’s degree or equivalent years of relevant work experience.
Legal authorization to work in the U.S.; the employer will not sponsor employment visas for this job opening.
Ability to travel, including internationally, up to 25% of the time.

Nice To Haves

Typically requires 12 or more years of relevant technical leadership experience.
Experience in IT leadership, enterprise transformation, or AI and automation programs.
Hands-on fluency with generative AI and agentic tools, including coding agents, copilots, connectors, evaluation, and guardrails, with credibility among engineers and architects.
Proven ability to build baselines, value dashboards, and portfolio governance, and make decisions from data.
Experience across multiple IT functions, such as software engineering, infrastructure and operations, service desk, security, cloud and FinOps, or project delivery.
Track record of leading through influence across matrixed organizations, including architecture, security, finance, and HR.
Experience establishing a central office or center of excellence with embedded team or rotation models.
Experience leading change management and reskilling at scale.
Demonstrated experience communicating with senior leadership audiences.

Responsibilities

Own the AI4IT program, roadmap, and results across all IT functions as the single accountable leader.
Establish the central office and operating model, then scale the program from initial pilots to production across IT.
Build and publish a playbook for extending AI-first ways of working beyond IT to the wider enterprise.
Identify opportunities with IT leaders and maintain a ranked AI opportunity map for every IT function.
Manage a portfolio covering software engineering and agentic coding, legacy modernization, service desk, IT operations, security operations, QA and testing, cloud cost optimization, project delivery, vendor management, and business analysis.
Run stage gates from opportunity identification through redesign, pilot, and scale, making stop, redirect, or scale decisions.
Establish baselines and quantified targets before workflow redesigns.
Own the value dashboard and regular reporting to senior IT leadership, focused on cycle time, quality, cost per unit, and customer outcomes.
Report freed capacity each quarter and redeploy it into modernization, innovation, and new services.
Maintain the approved-tool list and a shared library of prompts, skills, agents, and reusable patterns.
Partner with architecture, security, and design authority teams to ensure every new tool, model, and pattern is reviewed and approved before production.
Ensure every AI agent in production has a named human owner and a clear escalation path.
Build embedded teams nominated from across IT for domain depth, peer credibility, and a builder mindset, using rotations that return people to their teams as multipliers.
Grow a champions network and partner with training teams on role-based AI fluency at scale.
Champion a capacity-not-cuts approach and ensure reskilling paths accompany changes in roles.