Sr Analytics Product Owner

Flybridge Staffing; Boca Raton (FL); Hybrid; USD 110,000 - 145,000; Full time

Job summary

Flybridge Staffing is seeking a Sr. Analytics Product Owner in the Boca Raton area. The role is hybrid after 90 days and focuses on data-driven product ownership for analytics/data products.

The ideal candidate will be hands-on with SQL and Python, design data models, and drive agile processes with business partners. Responsibilities include owning the backlog, translating goals into user stories, building dashboards with BI tools, and applying AI/LLM capabilities to improve data products and

Qualifications

• Bachelor's degree plus at least 3 years of related experience in product ownership, business analysis, or technical product management, preferably analytics or data products.
• Strong experience with Product Backlog, wireframes, user stories, mockups, and JIRA.
• Hands-on data querying skills (SQL or Python) and experience with Databricks.
• Experience designing conceptual and logical data models and acting as liaison between business and engineering.
• Experience building dashboards with BI tools (Power BI, Tableau).
• Experience applying AI/LLM tools in a product or analytics context.

Responsibilities

• Own the product backlog for assigned data products end-to-end and serve as liaison between business and engineering.
• Develop deep product expertise by understanding business users, value proposition, workflows, and data assets.
• Translate goals into clear, actionable user stories, technical requirements, and acceptance criteria grounded in data.
• Design conceptual data models and collaborate with data architects and engineers to implement them.
• Lead agile ceremonies (scrum, backlog refinement, sprint planning, reviews) to drive clarity and alignment.
• Define and own success metrics for products and features and report business impact post-release.
• Apply AI throughout the product lifecycle to accelerate analysis and prototyping.

Skills

SQL

Python

Data analysis

Backlog management

Wireframes & mockups

Agile ceremonies

Stakeholder communication

AI/LLM tooling

Education

Bachelor's degree (BA/BS)

Tools

Databricks

Power BI

Tableau

JIRA

Job description

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 - buildings...
• 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.