Manager, Business Insights & Analytics - AI Enterprise Value Creation

Join the Net Jets Team

Net Jets, the global private aviation leader for more than 60 years, provides the pinnacle of private travel, defined by a signature commitment to unwavering safety, personalized service, and reliable global access. Discover why Net Jets is the ultimate career destination, offering exceptional benefits and growth opportunities.

Purpose of Position

Net Jets operates a complex, highly regulated business where safety, service, and operational excellence are paramount. Business Insights & Analytics (BI&A) is creating a dedicated AI team to explore the transformative potential of AI and ensure Net Jets captures the value it can deliver.

The Manager, BI&A - AI Enterprise Value Creation is a high-impact leader who will lead a team of AI practitioners to rapidly prototype, deliver, and scale AI-enabled solutions that improve decision‑making, unlock efficiencies, and drive measurable business value. This role blends people leadership, solution architecture oversight, and disciplined AI/ML operations practices with strong business acumen and executive‑ready communication.

Tasks and Responsibilities Team Leadership and Talent Development

• Lead, mentor, and develop a team of AI practitioners; set clear goals, coach for growth, and manage performance across diverse levels of experience.
• Foster a culture of curiosity, rapid experimentation, responsible AI, and measurable business impact.
• Support recruiting efforts and help shape role clarity and career paths as the team evolves.

AI Solution Delivery

• Lead delivery of a portfolio of AI initiatives from discovery through deployment, focusing on rapid prototyping to test feasibility and value, followed by scaling of proven solutions.
• Translate business needs into AI solution designs in partnership with business leaders, BI&A analysts, and IT.
• Ensure solutions are reliable, maintainable, secure, and aligned with data governance standards. Adhere to standards for data preparation, model development and experimentation, deployment and integration, monitoring, insight delivery, and adoption of AI tools.

Cross‑Functional Collaboration

• Partner closely with IT to align development standards, security, and deployment pathways and integration with enterprise platforms.
• Work directly with business leaders across operational, financial, and owner‑facing domains to identify high‑value use cases and drive adoption.
• Collaborate with BI&A Shared Services to ensure alignment with analytics standards, tooling strategies, and enablement efforts.
• Contribute to the development of clear, executive‑ready updates and materials for leadership communications and reviews.

Governance, Ethics, and Compliance

• Champion responsible AI practices including data privacy, security, fairness, and explainability.
• Participate in model risk management, governance reviews, and compliance processes in alignment with enterprise standards.

Measurement and Outcomes

• Define success metrics for each AI initiative and track outcomes such as adoption, time savings, efficiency gains, and accuracy improvements.
• Partner with BI&A leadership and Shared Services to support enterprise‑level value measurement frameworks and reporting.
• Contribute to AI literacy and readiness efforts through solution delivery, documentation, and collaboration.

Note

It is not possible to list all required job duties on this form. There may be other important duties assigned, depending on the position. For a list of essential job functions, please refer to the essential functions document for this job.

Education

Master's in Data Analytics or Computer Science

Certifications and Licenses Years of Experience

8-10 years of experience

Core Competencies

• Adaptability
• Collaboration
• Curiosity
• Service-Oriented
• Strives for Positive Results

KSAOs Experience

• 8+ years of experience with advanced analytics or data science;
• 3+ years leading analytical teams, preferably with ML focus

Technical leadership

• Strong grasp of AI/ML solution design, generative AI and LLMs, prompt engineering, and traditional ML.
• Working understanding of data engineering, feature pipelines, and distributed computing.
• Familiarity with model monitoring and evaluation frameworks

Business acumen…