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Tech Stack
Tools & technologiesCyber Security
About the role
Key responsibilities & impact- Partner with senior and executive leadership to define the AI productivity vision, strategy, and multi‑year roadmap aligned to business priorities.
- Translate organizational objectives into a structured portfolio of AI use cases focused on productivity improvement, operational efficiency, decision‑making, 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.
Requirements
What you’ll need- Bachelor’s 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 executive‑level 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 business‑relevant language.
Benefits
Comp & perks- At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable.
- We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world’s most complex problems — for our customers, our communities, and the planet.
- You’ll contribute to this vital work while further developing your skills through our award-winning employee development programs.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AIGenAIautomationanalyticsdigital productivity toolsportfolio managementgovernance frameworksoperating modelsbusiness casesROI models
Soft Skills
leadershipcommunicationcollaborationchange managementstrategic thinkingproblem-solvingorganizational skillsdecision-makingtrainingfacilitation
Certifications
Bachelor’s degree
