Sr AI Manager

Honeywell•Charlotte, NC

1d•$159,000 - $228,000•Hybrid

About The Position

The Sr. AI Manager at Honeywell Process Technology Solutions shapes and executes the strategic vision for enterprise AI initiatives, from ideation through deployment. The role leads AI scientists and engineers directly or through matrixed structures and works closely with business stakeholders to define requirements and deliver AI-powered solutions that turn structured and unstructured data into actionable insights. The position supports better decision-making, improved operational efficiency, business growth, and competitive advantage. The manager collaborates with executive leadership and teams across the business to develop the AI strategy and roadmap, oversee a portfolio of AI projects, and ensure solutions are adopted and deliver measurable business impact. The position also mentors AI engineering teams and develops organizational AI education and training programs. It reports to the Sr Director of IT and is based at one of the listed Honeywell locations on a hybrid schedule. For the first 90 days, new hires must work onsite Monday through Friday.

Requirements

At least 6 years of relevant experience in data analytics, AI, or related technical activities.
At least 6 years of experience with or understanding of AI tools such as Microsoft Azure, OpenAI, Vertex, AWS Bedrock, AWS SageMaker, or equivalent.
Strong leadership and management skills, including the ability to lead cross-functional teams effectively.
Ability to work in an agile development environment.
Experience with or understanding of predictive models, AI/ML, and generative AI.

Nice To Haves

Bachelor’s degree or higher in Computer Science, Artificial Intelligence, or a related field.
Excellent verbal, written, and presentation communication skills.
High proficiency in Microsoft Office, including Outlook, Excel, Word, and PowerPoint.
Proactive, detail-oriented approach and a strong regard for quality and consistency in communication; ability to present concise plans and ideas to executive-level audiences.
Experience with large-scale data analytics and governance initiatives.
Experience combining GenAI building blocks such as prompting techniques, agentic frameworks, RAG, data science, data engineering, and limited software development fundamentals.
Technical experience with SQL, T/SQL, NoSQL programming, and database objects.
Experience in technical product or project/program management focused on adoption and business impact.
Demonstrated record of delivering on time and on budget.
Critical thinking and understanding of business processes, technology, systems, and tools.
Demonstrated initiative and resourcefulness, an end-user experience mindset, and ability to work independently.

Responsibilities

Collaborate with executive leadership to define the overall AI strategy and roadmap.
Develop and execute the organization’s AI strategy to maximize revenue growth and profitability.
Work with stakeholders across functions and corporate teams to identify business needs and deliver AI solutions.
Drive an outstanding user experience for AI solutions.
Oversee the solution lifecycle to support adoption, effectiveness, and measurable monetary impact.
Oversee, mentor, and develop AI engineering teams and support successful implementation of AI projects.
Translate business needs into requirements and lead the design and implementation of complex analytics and governance solutions.
Collaborate with subject matter experts, data scientists, and data groups to translate business goals into technical product specifications.
Define multigenerational product plans that generate rapid value and support sustainable competitive advantage.
Lead a portfolio of AI projects, accounting for changing user requirements, new capabilities, and technology changes.
Develop and drive AI education, communication, and training programs to increase awareness, adoption, and use of AI insights.
Establish metrics and KPIs to measure the success and impact of AI initiatives.
Advance AI adoption across functions and business units, working collaboratively in a highly matrixed organization.