Director, AI Productivity Strategy & Governance

If you are a professional with experience utilizing AI to optimize productivity strategy Iooking for an opportunity to grow your career Emerson has an exciting opportunity for you!

As the Director of AI Productivity Strategy & Governance you will lead the strategy prioritization governance and adoption of AIenabled productivity initiatives partnering closely with the executive owner of AI Productivity and Operations Performance to translate business priorities into a disciplined responsible and valuedriven AI productivity portfolio. This role serves as a central connector across business technology and risk partners to ensure AI productivity initiatives move from idea to adoption in a scalable secure and measurable way.

In This Role Your Responsibilities Will Be:

• Partner with senior and executive leadership to define the AI productivity vision strategy and multiyear roadmap aligned to business priorities.
• Translate organizational objectives into a structured portfolio of AI use cases focused on productivity improvement operational efficiency decisionmaking and business value.
• Establish and lead a centralized AI productivity intake prioritization and portfolio management process ensuring clarity of sponsorship success metrics and benefits realization.
• Design implement and maintain AI governance and Responsible AI frameworks embedding principles such as privacy security transparency fairness human oversight and audit readiness.
• Collaborate across business units IT data cybersecurity legal compliance finance and HR to move AI initiatives from discovery through pilot production adoption and value realization.
• Lead development of business cases ROI models and benefit tracking to measure productivity gains financial impact and risk mitigation.
• Build and execute AI adoption and change management strategies including communication plans training playbooks and enablement resources that support sustainable adoption.
• Monitor emerging AI trends tools and best practices to inform strategy and continuously improve the AI productivity portfolio.
• Facilitate AI steering committees governance forums and portfolio reviews escalating risks dependencies and key decisions as needed.
• Build and lead a team responsible for AI productivity governance support adoption enablement portfolio tracking and value realization.

Who You Are:
You effectively navigate complexity turning ambiguity into clear priorities and actionable plans. You build strong partnerships across functions and levels collaborating with others to align diverse perspectives and achieve shared goals. You consistently drive results by setting clear outcomes communicating with clarity and adapting your approach as conditions evolve.

For This Role You Will Need:

• Bachelors degree in business operations engineering information systems data analytics computer science or a related field or equivalent combination of education and experience
• Minimum of 8 years experience with operations strategy transformation process improvement digital enablement analytics portfolio management or technology adoption
• Minimum of 2 years experience working with AI GenAI automation analytics or digital productivity tools
• Experience leading cross-functional initiatives and strategy transformation portfolio management or productivity initiatives in a complex or matrixed organization
• Demonstrated ability to establish governance frameworks operating models roadmaps and executivelevel reporting
• Strong understanding of AI productivity use cases such as copilots knowledge assistants workflow automation document generation reporting automation and decision support
• Experience driving adoption change management training or process redesign to support new ways of working
• Strong communication skills with the ability to translate technical topics into businessrelevant language

Preferred Qualifications That Set You Apart:

• Masters in business administration (MBA) Masters degree or relevant certification in AI data automation project management or change management
• Familiarity with enterprise AI tools and platforms such as Microsoft Copilot generative AI assistants RAG-based knowledge assistants workflow automation
• Experience with Lean Six Sigma process excellence product management portfolio management or change management.
• Experience partnering closely with IT cybersecurity legal HR data governance and risk teams
• Experience supporting productivity or operational excellence initiatives in industrial automation engineering services manufacturing project execution cybersecurity services operations or shared services