AI Program Manager

Principal Duties and Responsibilities:

• Lead end-to-end delivery of analytics transformation initiatives, guiding projects through the full stage gate process from discovery to production.
• Serve as the strategic orchestrator and translator-aligning data science, engineering, and business teams around shared goals, timelines, and deliverables.
• Translate high-level business challenges into clearly scoped analytics use cases, with defined success criteria and measurable KPIs.
• Partner with stakeholders to design and run stage gates, ensuring that each project milestone includes structured assessments, go/no-go decisions, and learnings incorporated into design.
• Establish and institutionalize measurement frameworks that evaluate business value creation at each phase of an analytics initiative
• Manage project backlogs, intake pipelines, and prioritization frameworks to focus on high-impact analytics opportunities.
• Build and communicate compelling transformation narratives, leveraging visualization, storytelling, and executive-ready documents that drive engagement and decision making.
• Ensure business readiness for analytics products in production-including training, process integration, and stakeholder support.
• Coach teams through common analytics project challenges such as ambiguous problem framing, data limitations, or unclear business buy-in.
• Stay current with industry best practices in analytics enablement, data governance, and program management.

Experience and Education

• 5+ years of experience in analytics transformation, analytics consulting, or managing cross-functional data science initiatives.
• Experience in a high-performing consulting, transformation, or enterprise program management environment with strong stakeholder and project ownership responsibilities.
• Track record of owning analytics programs from concept to operational deployment, including experience with structured stage gate or tollgate processes.
• Bachelor's degree in Business, Engineering, Computer Science, Economics, or a related quantitative field; Master's degree preferred.

Required Skills and Abilities

• Proven ability to lead analytics initiatives in a transformation setting, with clear structure, governance, and outcomes.
• Strong familiarity with stage gate methodologies, program road mapping, and cross-functional coordination.
• Fluency in technical concepts such as machine learning, experimentation, data architecture, and model deployment-though not necessarily a hands-on builder.
• Proficiency in SQL and data visualization tools (e.g., Tableau).
• Excellent communication, facilitation, and executive storytelling skills; able to clearly explain technical outcomes to non-technical leaders.
• Experience creating and managing project scorecards, KPIs, and dashboards that reflect real-time progress and value capture.
• Demonstrated ability to manage cross-functional teams without direct authority and deliver under tight deadlines.

Preferred Qualifications

• Experience in highly regulated industries, ideally insurance or financial services.
• Familiarity with cloud data environments and tooling (e.g., AWS, Azure, Databricks, Snowflake).
• Exposure to LLMs, NLP, or advanced ML model lifecycle (design, testing, deployment).
• Understanding of organizational change management and how to embed analytics into operating models.

Benefits Summary

• High quality voluntary health, vision, disability, life, and dental insurance programs
• 401K Matching Plan
• Employee Stock Purchase Plan
• Paid holidays, vacation, and sick leave
• Corporate sponsored programs to enhance employee physical, financial, mental, and emotional wellness
• Financial Solution Program

Equal Employment Opportunity:

Goosehead is an equal-opportunity employer and complies with all applicable federal, state, and local laws, rules, guidelines, and regulations. Goosehead strictly prohibits and does not tolerate unlawful discrimination against employees, applicants, or any other covered person because of race, color, religion, creed, national origin, ancestry, ethnicity, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity, transgender status, age, physical or mental disability, veteran status, uniformed service, genetic information, or any other characteristic protected by applicable law. All applicants for employment and all Goosehead employees are given equal consideration based solely on job-related factors, such as qualifications, experience, performance, and availability.