Senior Manager, AI Portfolio and Enablement

At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that's critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.

The AI Center of Excellence (CoE) is chartered to drive self-service enablement and the upskilling of AI talent across the enterprise. It serves as a central hub to enable business functions to share best practices, promote cross-team learning, and is responsible for delivering high-value AI use cases that create efficiencies, and deliver insights to support critical decision-making across the organization.

We are seeking a highly experienced and strategic AI Leader to manage the intake, development, and scaling of the enterprise AI use-case portfolio. This role is critical to translating the CoE's mission into tangible business value by ensuring all AI initiatives are aligned with the overall enterprise strategy, follow governance standards, and drive measurable performance improvements.

1. Portfolio Strategy & Development

• Manage the intake and qualification process for new AI requests, providing critical challenge to existing business leaders on feasibility, value alignment, and technical approach.

• Design and implement the AI strategy roadmap, specifically defining the value realization model, associated KPIs, and calculations for enterprise use-case delivery.

• Serve as the primary CoE liaison to platform teams, driving the technical requirements for integrating AI/ML models into existing platforms, tools, and architecture.

• Collaborate with the business to shape and develop compelling AI use cases from ideation through deployment.

• Establish and manage a robust use-case intake funnel, including initial scoring mechanisms to assess potential business value, technical feasibility, and alignment with the CoE's current Model Development roadmap.

• Develop and maintain the enterprise-wide LLM (Large Language Model) usage policy, working with the Data Science Platform & Security team to ensure responsible scaling of generative AI capabilities.

2. Governance, Standards & Management

• Develop the core templates and data models for use-case reporting and performance metrics, establishing the single source of truth for AI value delivery.

• Abide by and enforce policies and standards of data usage as defined by Governance and Operations teams.

• Integrate AI and ML capabilities into standard reporting as needs arise, enabling the CoE to track and report on its value.

• Manage the high level of change impact expected due to standing up non-existent capabilities and scaling existing ones across the organization.

3. Learning, Sharing & Enablement

• Champion and facilitate training and sharing of best practices across functions, including prompt engineering, model building, deployment, and monitoring practices/methodologies.

• Lead AI communities that facilitate cross-team learning, knowledge sharing, and the creation of practice process creation and management.

• Partner with HR, business teams, and functional teams to understand workforce and talent demands and support the creation of materials/assets to upskill & close talent/skill gaps.

4. Inter-Team Collaboration

• Provide guidance to Data Products & Platforms teams to build data infrastructure that enables core AI capabilities across the enterprise.

• Evangelize policies and standards set by Governance & Operations across the enterprise.

• Use the data products provided by the Data Team to derive business function needs that align with the Data Strategy.

• 7+ years of demonstrable experience managing and scaling an AI/ML portfolio at a high-growth, technically mature organization.

• Deep understanding of the AI/ML lifecycle, from ideation and development (AI Learning & Development, AI Upskilling) to deployment (Prompt Engineering, Model Deployment & Monitoring) and governance (Data Science Platform & Security).

• Experience in data storytelling, upskilling, defining & establishing enterprise KPIs, and setting usage thresholds.

• Strong change management skills with the ability to manage high-impact organizational change.

• Excellent collaboration and communication skills, with the ability to influence technical and non-technical stakeholders.

• Familiarity with industry-leading MLOps platforms (e.g., Kubeflow, SageMaker, Azure ML) and their role in enabling the Model Development and Model Deployment & Monitoring capabilities.

• Demonstrated ability to drive consensus and present complex technical information to C-suite and executive steering committees.

Target Base Salary Range:$160,000 USD - $190,000 USD

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

#LI-MP2
#LI-HYBRD

• Bachelors degree with 12 years of technical experience

• AND 7+ years of demonstrable experience managing and scaling an AI/ML portfolio at a high-growth, technically mature organization

• AND 5+ years of directly managing a team

• Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.

Our U.S.Benefitsinclude:

• Incentive Bonus Plans

• Medical, Dental, Visionbenefits

• 401K with Company Match

• 10 Paid Holidays

• GenerousPaidTime Off Packages

• Employee Stock Purchase Plan

• PaidParental & Family Leave

• and more!

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.

We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete thisReasonable Accommodations Formso we can assist you.