Position SummaryThe Senior Manager, AI, Technology, and Innovation Solutions is a pivotal leadership role within the Center of Excellence (CoE) for Facilities Management & Engineering. Reporting directly to the Global Director of Facilities Management & Engineering, this position is responsible for driving the research, piloting, and implementation of innovative technology solutions-including artificial intelligence (AI), digital twins, advanced analytics, and customer workplace facing applications-to optimize data governance, facilities operations, sustainability, business outcomes, and workplace experience. The Senior Manager will oversee the full lifecycle of technology innovation: from scouting and evaluating emerging solutions, to managing pilots and scaling successful initiatives, to ensuring robust data collection, analysis, governance, and stakeholder reporting. Additionally, the role includes direct management and development of two Technology Analysts, fostering a high-performance team culture aligned with the CoE's mission of operational excellence and continuous improvement.
This position requires a unique blend of technical expertise in AI and digital technologies, strategic vision, project management acumen, and strong leadership and communication skills. The Senior Manager will serve as a key interface between technical teams, business stakeholders, and external partners, ensuring that technology investments are aligned with organizational goals, regulatory requirements, and industry best practices. The ideal candidate will demonstrate a proven track record in leading technological innovation within complex, global environments, particularly in facilities, operations, or related domains.
Key ResponsibilitiesTechnology Scouting and Solution EvaluationLead the identification, research, and evaluation of innovative technology solutions (AI applications, IoT, digital twins, predictive analytics, energy management platforms, workplace enhancement, etc.) relevant to facilities management, engineering, workplace experience, and sustainability objectives.Conduct comprehensive technology scouting by leveraging patent and literature reviews, market analysis, and benchmarking against industry leaders and peer organizations.Assess technical, commercial, legal, environmental, and regulatory suitability of candidate solutions, including risk, scalability, sustainability, and compliance with global standards.Develop business cases and recommendations for technology adoption, including cost-benefit analysis, ROI projections, and alignment with strategic priorities.Pilot Program Management and ImplementationDesign, plan, and execute pilot programs for selected technology solutions, ensuring clear objectives, success metrics, and stakeholder alignment from inception.Oversee pilot instrumentation, data collection, and monitoring, ensuring data integrity, privacy, and security throughout the pilot lifecycle.Iterate and refine pilot approaches based on real-time feedback, data analysis, and stakeholder input, employing agile methodologies and continuous improvement principles.Manage cross-functional teams and external partners during pilot execution, ensuring roles, responsibilities, and deliverables are clearly defined and met.Data Collection, Instrumentation, and Analysis OversightEstablish and oversee robust data collection frameworks for pilots and implementations, ensuring data quality, consistency, and compliance with privacy and security standards.Lead the analysis of pilot and operational data to extract actionable insights, validate hypotheses, and inform decision-making.Develop and maintain reporting dashboards that provide real-time visibility into key performance indicators (KPIs), pilot outcomes, and business impact.Ensure data governance, ethical use, and regulatory compliance in all data-related activities, including adherence to GDPR, CCPA, and other relevant frameworks.Stakeholder Engagement and Pilot Results DeliverySynthesize and deliver pilot results, insights, and recommendations to a diverse set of stakeholders, including executive leadership, operations teams, and external partners.Develop and present clear, actionable reports and presentations that translate technical findings into business value and strategic guidance.Facilitate stakeholder workshops, feedback sessions, and decision-making forums to ensure alignment, buy-in, and informed scaling decisions.Champion a culture of transparency, learning, and continuous improvement across all technology innovation initiatives.Team Leadership and Analyst Development- Directly manage, mentor, and develop two Technology Analysts, providing guidance, performance feedback, and professional growth opportunities.
- Foster a collaborative, high-performance team culture that encourages innovation, accountability, and continuous learning.
- Delegatetasks and projects effectively, ensuring clear expectations, resource allocation, and timely delivery of results.
- Support the recruitment, onboarding, and training of new team members as the team scales.
6. CoE Integration, Governance, and Reporting Structure- Align all technology innovation activities with the Center of Excellence's (CoE) governance frameworks, standards, and strategic objectives.
- Collaborate closely with the Global Director of Facilities Management & Engineering to ensure reporting, escalation, and decision-making processes are clear and effective.
- Contribute to the development and enforcement of CoE policies related to technology adoption, data governance, risk management, and sustainability.
- Represent the CoE in cross-functional and external forums, sharing best practices and thought leadership.
7. Vendor Selection, Procurement, and Contract Management- Lead the evaluation, selection, and management of technology vendors and solution providers, in partnership with CBRE Procurement & Client representatives, ensuring alignment with business needs, technical requirements, and compliance standards.
- Negotiate contracts, service level agreements (SLAs), and partnership terms to maximize value and mitigate risk.
- Monitor vendor performance and manage relationships to ensure successful delivery and ongoing support.
8. Budgeting, Business Case Development, and Financial Oversight- Develop and manage budgets for technology pilots and implementations, ensuring alignment with strategic priorities and financial constraints.
- Prepare detailed business cases and ROI analyses to support investment decisions and resource allocation.
- Monitor and report on financial performance, identifying opportunities for cost optimization and value creation.
9. Risk Management, Compliance, and Regulatory Oversight- Identify, assess, and mitigate risks associated with technology pilots and implementations, including technical, operational, legal, and reputational risks.
- Ensure compliance with relevant regulations and standards (e.g., GDPR, CCPA, ISO, NIST, industry-specific requirements).
- Develop and enforce policies and procedures for ethical AI use, data privacy, security, and bias mitigation.
- Conduct regular audits and reviews to ensure ongoing compliance and risk management.
10. Organizational Change Management and Adoption- Develop and execute change management strategies to drive adoption of new technologies and processes across Workplace Operations teams.
- Design and deliver training, onboarding, and communication programs to support successful implementation and user engagement.
- Monitor adoption metrics and user feedback, iterating approaches as needed to maximize impact and minimize resistance.
11. Workplace Operations Use Cases- Champion the use of AI and digital technologies to drive operational excellence in all workplace operations functions, in partnership with Workplace Operations, Sustainability, Occupancy, Security, Safety, Food, and Project Management Teams.
- Identify and implement use cases such as AI technologies, digital twins, energy optimization, customer experiential technologies, and smart building adaptation.
- Monitor and report on
Required Qualifications- Education:
- Bachelor's degree in Computer Science, Engineering, Information Technology, Facilities Management, or a related field.
- Advanced degree (Master's or PhD) in a relevant discipline preferred.
- Experience:
- Minimum 8 years of progressive experience in technology innovation, AI, data analytics, or digital transformation, with at least 3 years in a managerial or leadership role.
- Proven track record of leading technology & innovation pilots, implementations, and cross-functional teams in complex, global environments.
- Experience in facilities management, operations, engineering, or related industries highly desirable.
- Certifications:
- Relevant professional certifications such as PMP, ITIL, AWS/Azure/Google Cloud certifications, Certified AI Professional, or equivalent.
- Data privacy, security, or risk management certifications (e.g., CISSP, CISA, CRISC) are a plus.
Preferred Experience- Industry Experience:
- Background in facilities management, engineering, manufacturing, energy, healthcare, or other asset-intensive industries.
- Experience with sustainability, energy management, or smart building technologies.
- Technical Experience:
- Hands-on experience with AI/ML platforms (e.g., TensorFlow, PyTorch, Azure AI, AWS SageMaker, Google Vertex AI).
- Familiarity with digital twin platforms, IoT, MLOps, and cloud infrastructure.
- Experience with data governance, privacy, and security frameworks.
- Operational Experience:
- Leading pilots and scaling technology solutions from proof-of-concept to enterprise-wide deployment.
- Managing vendor relationships, procurement, and contract negotiations.
- Developing and managing budgets, business cases, and financial models.
- Change Management:
- Designing and executing change management, training, and adoption programs.
- Experience in organizational transformation and stakeholder engagement.
Skills and CompetenciesTechnical Skills- AI and Machine Learning:
- Deep understanding of AI/ML concepts, algorithms, and frameworks.
- Experience with model development, deployment, monitoring, and MLOps best practices.
- Familiarity with generative and agentic AI, natural language processing, computer vision, and predictive analytics.
- Data Management:
- Expertise in data collection, instrumentation, analysis, and visualization.
- Strong knowledge of data governance, privacy, security, and compliance requirements.
- Experience with data platforms, ETL pipelines, and dashboarding tools.
- Digital Twins and IoT:
- Understanding of digital twin concepts, platforms, and integration with IoT sensors and building management systems.
- Experience with simulation, predictive modeling, and real-time monitoring.
- Cloud and Infrastructure:
- Proficiency in cloud platforms (AWS, Azure, Google Cloud) and related services.
- Experience with infrastructure automation, CI/CD pipelines, and DevOps/MLOps practices.
Leadership and Management Skills- Strategic Vision:
- Ability to align technology innovation with business goals and strategic priorities.
- Experience in developing and executing multi-year technology roadmaps.
- Project and Program Management:
- Expertise in managing complex projects, pilots, and programs from inception to completion.
- Strong organizational, planning, and resource management skills.
- Team Leadership:
- Proven ability to lead, mentor, and develop high-performing teams.
- Experience in managing direct reports, delegating tasks, and fostering a collaborative culture.
- Stakeholder Engagement:
- Exceptional communication and interpersonal skills, with the ability to influence and align diverse stakeholders.
- Experience in delivering executive presentations, facilitating workshops, and managing cross-functional teams.
Business and Financial Acumen- Business Case Development:
- Ability to develop robust business cases, ROI analyses, and investment proposals.
- Experience in budgeting, financial oversight, and cost optimization.
- Vendor and Contract Management:
- Skills in evaluating, selecting, and managing technology vendors and partners.
- Experience in negotiating contracts, SLAs, and partnership agreements.
- Risk Management:
- Expertise in identifying, assessing, and mitigating risks related to technology, data, and operations.
- Knowledge of compliance, regulatory, and ethical frameworks.
Change Management and Adoption- Change Leadership:
- Ability to design and execute change management strategies that drive adoption and minimize resistance.
- Experience in developing training, onboarding, and communication programs.
- Continuous Improvement:
- Commitment to learning, feedback, and iterative improvement.
- Ability to adapt strategies based on data, feedback, and evolving business needs.
Legal, Ethical, and Sustainability Competencies- Ethical AI and Bias Mitigation:
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