GEN AI PRODUCT OWNER
Summary
The Generative AI (GenAI) Product Owner (PO) is a member of the Health Informatics department in Health Data Services at Moffitt Cancer Center. This role supports the delivery of GenAI solutions and drives their adoption across the Moffitt Enterprise.
Responsibilities
Shape and execute the roadmap for GenAI products, from concept to deployment.
Champion best practices and measure the value of AI solutions across the organization.
Foster collaboration between technical teams and end users to maximize adoption and impact.
Own and execute the GenAI product roadmap, including opportunity assessment, feature definition, release planning, and prioritization.
Drive adoption of GenAI capabilities such as prompt engineering, retrieval-augmented generation (RAG), multimodal models, and domain-aligned large language models (LLMs).
Collaborate closely with technical, data science, clinical informatics, and operational teams to ensure solutions are feasible, scalable, and aligned with organizational strategy.
Champion responsible AI practices including data governance, bias monitoring, safety guardrails, and integration with secure cloud environments.
Requirements
Hands-on experience with Generative AI, including prompt engineering, LLM fine-tuning, and RAG system design.
Proven track record delivering AI-driven products, such as chatbots, assistants, or workflow automation tools.
Technical familiarity with cloud AI/ML platforms, such as Azure AI Studio, OpenAI APIs, AWS Bedrock, or Snowflake Cortex.
Strong ability to translate complex technical concepts into clear, actionable requirements for multidisciplinary teams.
Experience operating within agile product development frameworks.
Working knowledge of healthcare data standards (FHIR, HL7), data privacy, HIPAA, PHI handling, and integration into clinical workflows.
Excellent communicator and collaborator with a passion for driving responsible AI adoption in healthcare.
Qualifications
Bachelor’s Degree in Informatics, Inforamation Systems, Computer Science, Data Science or Analytics is required.
Master's Degree preferred.
Seven (7) years of experience as a Software Developer, Systems Analyst, Cloud Engineer, Machine Learning Engineer, AI Engineer, or Data Scientist working on GenAI products or platforms.
The following certifications are preferred: PMI Certified Agile Certified Practitioner (PMIACP), Scrum Master Certified (SMC), Certified Scrum Master (CSM), Certified Scrum Product Owner (CSPO).
Pay
$105,853.80 - $161,392.40
Schedule
N/A
Benefits
Annual Team Member Incentive
Annual Team Member Merit Increase
Inclusive Benefits package - Health, Financial, & Lifestyle coverage
Skills
Generative AI
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Large Language Models (LLMs)
Benefits
Not specified
Pay
Not specified
Schedule
N/A
Application Instructions
N/A