Carrier ยท 9 hours ago
Senior Manager, AI & Analytics
Carrier is a global leader in intelligent climate and energy solutions, committed to creating innovations that enhance comfort, safety, and sustainability. The Senior Manager, AI & Analytics will oversee a team of Data Science and AI professionals, driving the execution of AI initiatives to deliver measurable business value while managing risks and fostering trust across the organization.
EnergyHeating Ventilation and Air Conditioning (HVAC)
Responsibilities
Lead AI Program Delivery: Drive end-to-end execution of AI initiatives, from discovery and proof-of-concept through pilot and enterprise-scale deployment
Program Governance: Establish and manage timelines, dependencies, and risk mitigation strategies across multiple concurrent projects
Cross-Functional Coordination: Align efforts across business, technology, and operations teams to ensure on-time, on-budget delivery
Business Case Development: Create clear and compelling business cases, including benefits, costs, and success metrics; monitor and report on value realization post-launch
Responsible AI Compliance: Partner with Security, Privacy, Legal, and Compliance teams to ensure all GenAI use cases adhere to ethical AI principles and regulatory requirements
Policy & Standards Implementation: Define and enforce guardrails, policies, and standards for GenAI tools, data usage, model selection, and access control
Risk & Performance Monitoring: Support ongoing risk assessments, model monitoring, and incident management for AI deployments
KPI Tracking & Reporting: Define and monitor key performance indicators (e.g., value delivered, adoption rates, risk posture, cycle time) and provide executive-ready updates on progress, risks, and decisions
Continuous Improvement: Evaluate ROI and performance of GenAI initiatives; recommend scaling, pivoting, or sunsetting projects as needed
Strategic Advisory: Serve as a trusted advisor to senior business and technology leaders on GenAI opportunities, trade-offs, and strategic implications
Vendor & Partner Management: Build and maintain strong relationships with external partners, including technology providers, consultancies, and system integrators
Qualification
Required
Bachelor's Degree
7+ years total experience in Data Analytics or AI
3+ years experience with either one from the following programs: establishing or leading enterprise AI/GenAI programs, or AI Centers of Excellence
2+ years experience with cloud platforms (e.g., AWS, Azure, GCP)
1+ year experience with GenAI tooling (e.g., OpenAI, Anthropic, Azure OpenAI, Vertex, or similar)
Preferred
Bachelor's Degree in Data Science / Mathematics, Statistics, or Computer science (nice to have)
Strong background in data science, analytics, and AI technologies, with a track record of delivering business impact through advanced analytics and automation
Demonstrated ability to manage complex programs, influence senior stakeholders, and drive organizational change
Expertise in risk management, compliance, and responsible AI practices
Exceptional communication skills, with the ability to present executive-level updates and strategic recommendations
Benefits
Health Care benefits: Medical, Dental, Vision; wellness incentives
Retirement benefits
Time Off and Leave: Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty; military leave; purchased vacation
Disability: Short-term and long-term disability
Life Insurance and Accidental Death and Dismemberment
Tax-Advantaged Accounts: Health Savings Account; Healthcare Spending Account; Dependent Care Spending Account
Tuition Assistance
Company
Carrier
Carrier is the provider of intelligent climate and energy solutions.
Funding
Current Stage
Late StageLeadership Team
Recent News
Morningstar.com
2025-12-16
2025-11-20
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