Manager, Product AI

Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.

For more than 140 years, Johnson Controls has delivered performance where it matters most. Backed by advanced technology, lifecycle services, and an industry-leading field organization, we elevate customer performance, turn goals into real-world results, and help move society forward.

• Competitive salary
• Paid vacation, holidays, and sick time
• Comprehensive benefits package including 401(k), medical, dental, and vision care
• On-the-job and cross-training opportunities
• Encouraging and collaborative team environment
• Dedication to safety through our Zero Harm policy

Johnson Controls is seeking a Product AI Manager to lead the strategy, development, and delivery of AI-enabled products and solutions that drive business value across the enterprise.

In this role, you will partner with business leaders, product teams, data scientists, and software engineers to identify high-impact opportunities for artificial intelligence and translate them into scalable solutions. You will own the AI product roadmap, prioritize investments, and ensure successful execution from concept through deployment and adoption.

As a Product AI Manager, you will:

• Define and execute the strategic vision for Johnson Controls' AI product portfolio.
• Identify and prioritize AI opportunities that support business objectives and customer outcomes.
• Develop and manage AI product roadmaps aligned with enterprise priorities.
• Lead the end-to-end product lifecycle from ideation through deployment and continuous improvement.
• Partner with business stakeholders to translate challenges and opportunities into AI-powered solutions.
• Collaborate with software engineers, data scientists, and analytics teams to deliver scalable products.
• Evaluate emerging AI technologies and recommend innovative solutions that create business value.
• Develop business cases, investment recommendations, and success metrics for AI initiatives.
• Drive adoption and measurable business outcomes through effective stakeholder engagement and change management.
• Lead cross-functional teams while fostering a culture of innovation, accountability, and continuous learning.

• Define the vision, strategy, and multi-year roadmap for AI products and capabilities.
• Establish portfolio priorities based on business value, customer needs, feasibility, and return on investment.
• Develop business cases outlining expected benefits, risks, resource requirements, and implementation approaches.
• Evaluate industry trends, competitive intelligence, and emerging technologies to inform strategic decisions.
• Create measurable KPIs and success metrics to assess product performance and business impact.

• Lead AI product initiatives from concept through launch and post-deployment optimization.
• Translate business requirements into product features, user stories, and prioritized backlogs.
• Partner with engineering and data science teams to ensure successful delivery against roadmap commitments.
• Manage project milestones, timelines, risks, dependencies, and stakeholder communications.
• Monitor product adoption and performance to identify enhancement opportunities and drive continuous improvement.

• Collaborate with business leaders to identify high-impact use cases and strategic opportunities for AI.
• Facilitate discovery workshops and stakeholder sessions to gather requirements and validate opportunities.
• Serve as a trusted advisor to business and technology leaders on AI strategy and investment decisions.
• Build alignment across executive leadership, product teams, and technical stakeholders.
• Present recommendations, roadmaps, business cases, and performance updates to senior leadership.

• Partner with technical teams to evaluate AI platforms, models, tools, and solution architectures.
• Provide guidance on technology selection, implementation approaches, scalability, and governance.
• Support build-versus-buy evaluations and vendor selection processes.
• Promote responsible AI…