AI & Machine Learning Product Team Lead

Children's Healthcare of Atlanta • Atlanta, GA

1d

About The Position

The Artificial Intelligence and Machine Learning Product Team Lead owns the product lifecycle for Artificial Intelligence/Machine Learning (AI/ML) and advanced analytics initiatives across the pediatric health system - from use case discovery and prioritization through requirements definition, development, implementation, evaluation, and post-launch iteration. This role partners with stakeholders including clinicians, informaticists, as well as leaders of operational, quality, analytics and AI programs to define problems, success metrics, evaluation plans, and workflow adoption requirements. The role leads a team of AI/ML engineers and collaborates closely with business systems and electronic health record (EHR) application teams to deliver and evolve a portfolio of AI/ML products that improve outcomes for kids, families, clinicians, and the organization. For products in the portfolio, the Team Lead maintains a transparent roadmap and backlog, coordinates governance inputs (privacy, security, clinical safety), and enables efficient Agile delivery in partnership with ML engineering and EHR/application teams. The role participates in AI governance forums and, with the AI Program and Advanced Analytics Managers, communicates product portfolio status, risks, and realized impact to system leadership.

Requirements

• 4 years of experience in product management, analytics product ownership, healthcare analytics delivery, or data/ML program delivery roles
• 2 years of experience owning a backlog/roadmap and leading cross-functional delivery (analytics/engineering/clinical stakeholders)
• Demonstrated experience taking analytics/AI solutions from discovery to build and workflow adoption with measurable outcomes
• Bachelor’s degree in Information Systems, Data Science, Computer Science, Industrial Engineering, Analytics, or related field
• Strong stakeholder management across clinical, operational, and technical teams
• Ability to write clear product requirements (PRDs), user stories, and acceptance criteria
• Ability to translate clinical and operational healthcare workflows into implementable requirements and adoption plans (training, comms, feedback loops)
• ML literacy sufficient to guide tradeoffs (feasibility, evaluation metrics, risk/limitations) in model selection choices
• Data literacy (SQL or equivalent) and comfort with defining and tracking outcome metrics
• Ability to facilitate effective Agile planning while minimizing ceremony and maximizing delivery

Nice To Haves

• Master’s degree preferred or equivalent experience
• Experience working with healthcare data, HIPAA/privacy constraints, and governance processes
• Experience partnering with clinical informatics and EHR teams (Epic preferred)
• Familiarity with model governance concepts (intended use, limitations, validation expectations, monitoring requirements)
• Agile product ownership experience, familiarity with Scrum

Responsibilities

• Discover and prioritize high-value opportunities that align with AI program and system priorities
• Convert business and clinical needs into a clear roadmap, backlog, and delivery plan
• Ensure governance, privacy, and clinical safety requirements are embedded into each product
• Drive workflow adoption, measure outcomes, and continuously improve products
• Lead and develop AI/ML team while removing friction and protecting deep work time

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level