GEN AI PRODUCT OWNER

Moffitt Cancer Center
Tampa, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 161K

Job location

Tampa, United States of America

Tech stack

API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
ARM
Azure
Health Informatics
Cloud Computing Security
Cloud Engineering
Data as a Services
Machine Learning
Scrum
Product Management
Azure
Chatbots
Fast Healthcare Interoperability Resources
Large Language Models
Snowflake
Prompt Engineering
Generative AI
Information Technology
Health Level Seven International

Job description

The Generative AI (GenAI) Product Owner (PO) is a member of the Health Informatics department in Health Data Services and supports delivery of GenAI solutions and drive adoption across the Moffitt Enterprise. The Gen AI PO manages product roadmaps, backlog, product releases, best practices, and value measurement to optimize GenAI deployments and AI lifecycle management. The position supports the design, development, and deployment of generative AI products, with a focus on prompt engineering, retrieval-augmented generation (RAG), and large language models (LLMs) to bridge the gaps between engineering teams and end users across clinical, research, and administrative functions., governance, bias monitoring, safety guardrails, and integration with secure cloud environments. The Ideal Candidate: * 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. Credentials and Qualifications: *, Bachelor's Degree in Informatics

Requirements

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) Moffitt Cancer Center is an NCI-designated comprehensive Cancer Center in Tampa, Florida. Tampa is an ideal choice for those seeking opportunities in a rapidly growing metropolitan city. With its vibrant economy and diverse culture, Tampa Bay offers a unique blend of urban sophistication and natural beauty. Join the many who have already discovered what makes Tampa one of the fastest-growing metropolitan cities in the US. Moffitt Team Members are: * Eligible for an annual Team

Benefits & conditions

Member Incentive * Eligible for an annual Team Member Merit Increase * Have an Inclusive Benefits package - Health, Financial, & Lifestyle coverage If you're driven by curiosity, thrive in collaborative environments, and are excited to advance the impact of AI in healthcare, we'd love to hear from you.

Salary Range $105,853.80 - $161,392.40

Salary ranges posted for this position represent the expected base pay range for the role. Actual compensation may vary based on location and a variety of job-related factors, including experience, skills, education, and internal equity among Team Members in similar positions.

We are committed to maintaining fair and equitable pay practices and regularly review compensation to ensure alignment across our workforce.

Moffitt Career Site

About the company

As the only National Cancer Institute-designated Comprehensive Cancer Center based in Florida, Moffitt employs some of the best and brightest minds from around the world. Join a dedicated team of nearly 11,000 who are shaping the future we envision. Moffitt has been recognized as a Best and Brightest Company to Work For in the Nation and is continually named one of the Tampa Bay Times' Top Workplaces., Shape the Future of Healthcare AI at Moffitt Cancer Center Are you passionate about defining the future of AI in healthcare? The Department of Health Informatics at Moffitt Cancer Center is seeking an experienced and forward-thinking Generative AI (GenAI) Product Owner to lead the development and deployment of enterprise-scale AI solutions that enhance patient care, accelerate research, and improve operational efficiency. As the GenAI Product Owner, you will drive the full lifecycle of generative AI products-from identifying high-value use cases to working with engineering teams to deliver secure, reliable, and clinically impactful solutions. You'll serve as the bridge between technical teams and stakeholders across clinical, research, and administrative domains, ensuring that our solutions meet real-world needs and deliver measurable value. Why Moffitt? * Be part of a nationally recognized, NCI-designated comprehensive cancer center in vibrant Tampa, Florida. * Collaborate with world-class experts in a culture that values innovation, diversity, and excellence. * Enjoy a dynamic work environment where your ideas are heard and your contributions matter. What You'll Do: * 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 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

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