Flybridge Staffing

Sr Analytics Product Owner

Boca Raton, Florida, US

Role snapshot

Flybridge Staffing is hiring a Sr Analytics Product Owner on a full-time basis. This is a hybrid role based in Boca Raton, Florida, US.

Company: Flybridge Staffing
Location: Boca Raton, Florida, US
Work mode: Hybrid
Job type: Full-time
Experience: 3+ years
Posted: Nov 1, 2026

Who this role suits

Practitioners with a few years behind them who can work independently, make trade-offs and help newer teammates.

How to prepare your application

Prepare examples of decisions you drove, how you measured the result, and how you worked with other teams.
Be ready to discuss trade-offs and scope, not only the tools you have used.
Read what Flybridge Staffing publishes about its product or team, so you can say clearly why this role and this company.

Apply only on Flybridge Staffing's own site. A genuine employer never asks candidates for money, deposits or bank details to apply, interview or “secure” a job. If something looks wrong, use Report a problem with this listing and we will review it. Read how we check listings.

About the role

Flybridge Staffing is currently seeking a Sr. Analytics Product Owner for a client based in the Boca Raton area. This is a direct hire position that will work on a hybrid schedule after 90 days. The ideal candidate really understands and enjoys data, is hands-on with SQL and Python, and has the instinct to answer questions with data.

****NO SPONSORSHIP AVAILABLE**** US Citizen, GC, only, please.

Experience/requirements:

Bachelor’s degree from a four-year college or university plus at least 3 years of related experience in product ownership, business analysis, or technical product management, preferably supporting analytics or data products.
Strong experience with Product Backlog, wireframes, user stories, mockups, and JIRA.
Demonstrated hands-on data querying skills (strong SQL or Python, analytics tooling, and experience with modern data platforms such as Databricks)
Experience designing conceptual and logical data models; the ability to act as the liaison between business and engineering, own a product backlog, and facilitate agile ceremonies (scrum, backlog refinement, sprint planning)
Experience building wireframes, mockups, and dashboards with BI/data-visualization tools (e.g., Power BI, Tableau).
Practical experience applying AI/LLM tools (Claude or Claude Design preferred) in a product or analytics context.

Responsibilities:

As part of the Analytics team, this role owns the product backlog for assigned data products end-to-end and is a liaison between the business and the engineering teams.
Develop deep product expertise from both a business and technical perspective by understanding business users, value proposition, competitive landscape, business workflows, and the data assets, architecture, and technical components that power them.
Own the product backlog and requirements for assigned data products, working directly with business partners in marketing, operations, sales, and member services to understand their goals — then partnering with the engineering team to translate those goals into clear, actionable user stories, technical requirements, and acceptance criteria grounded in data.
Design the “conceptual data models” that turn business questions into a well-structured view of company data — defining entities, relationships, metrics, and definitions, and partnering with data architects and data engineers to carry those models through to physical implementation.
Facilitate the team’s agile ceremonies — running scrum, backlog refinement, sprint planning, and reviews — to drive clarity and alignment across business and engineering.
Define and own the success metrics for every product and feature shipped — establishing baselines with business partners before launch, instrumenting for measurement, and reporting actual business impact (revenue, retention, efficiency, customer experience) after release.
Apply AI throughout the product lifecycle — using AI tools to accelerate analysis, requirements development, prototyping, and testing — and champion an AI-first approach to how data products are built and delivered.
Build wireframes and mockups for dashboards and data visualization using BI tools — defining how metrics, layouts, and interactions should work before the build, and iterating with business users and developers so the delivered visualizations answer the right questions.
Analyze the current platform in the context of end-to-end business processes — spanning marketing campaigns, sales workflows, member services operations, and the systems behind them; use data to define and quantify operational problems, recommend enhancements, and walk each enhancement through the development process from planning and preparation to testing and implementation.
Validate solutions by performing quality assurance and by managing and executing user acceptance (UAT) plans with business stakeholders — collaborating with the engineering team during user testing and complex validation sessions, responding to technical and functional product questions, and reformulating solutions as necessary to ensure the delivered product meets the business need.
Preferred to have working knowledge of the healthcare industry to translate problems, needs, and opportunities into well-formed user stories, while ensuring all assigned products meet healthcare regulatory requirements such as HIPAA and other relevant compliance standards.

If your background aligns with the details above and you would like to learn more, please submit your resume to [email protected] or on our website, and one of our recruiters will be in touch with you ASAP.