Pharmacy Product Owner

Title: Product Owner (Pharmacy Data)

Duration: 6mo contract to hire

Location: 100% Remote!

• Plus if you are in a neighboring state to MN
• CANNOT live in CA, WA, IL, CO, CT, MD, UT

Interview Process: 2 rounds (hiring manager then meet the team)

Start Date: ASAP, 2 weeks after offer acceptance

Compensation: $55-68.57/hr (approx.)

REQUIRED SKILLS/ QUALIFICATIONS:

• Product Owner background, and experience with pharmacy data
• 5+ years using technical and analytical skills to extract, integrate, layout and interpret complex and disparate data sources (certification/other training in lieu of yrs experience)
• Demonstrated expertise using data visualization tools such as Microsoft Power BI, Tableau, having mastered the ability to tell stories using data
• Must have expertise in SQL and relational database design, and programming skills using Python, R, etc. (“or similar”)
• Must be skilled communicators, presenting findings and actionable recommendations, and working with development teams, end users and business leaders

PREFERRED QUALIFICATIONS:

• Local to MN, IA, WI, SD or ND
• Knowledge of health care operations
• Exposure to agile/scrum (including tools like JIRA)
• Experience using Azure Data Lake, DevOps, Power Automate, or other tools in the Azure Suite
• Working knowledge of medical terminology, medical coding systems; ICD-10, CPT4, DRG, GPI.
• Knowledge of statistical methods and techniques (predictive modeling, segmentation, regression, etc.)
• Familiarity with software development, data and integration architecture
• Experience working with unstructured or semi-structured data

Insight Global is hiring a Pharmacy Product Owner for a payer/provider. The Product Owner drives the delivery of high-quality analytic products by prioritizing work, shaping user stories, and ensuring alignment with business objectives. Acting as the primary liaison to sponsor, the PO ensures clear communication of goals, trade-offs, and progress. They collaborate with developers, analysts, and engineers in Agile teams to build scalable data solutions, maintain domain expertise, and provide consultative support for strategic decisions. Key responsibilities include managing the product roadmap, planning sprints, validating deliverables, and championing data accuracy, security, and compliance—all while driving adoption and measurable business value.

ACCOUNTABILITIES:

• All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning
• Acts as domain experts, partnering with business groups, and data engineers to frame problems, model, clean and integrate data, and determine the best way to leverage that data in service of a goal
• Works with business partners to understand and create their “user stories;” they identify and clarify opportunities to leverage data analytics in service of customer or business value
• Independently creates, deploys, monitors, and maintains highly interactive data visualizations and analytic services
• Leads and participates in strategic measurement activities, including Return on Investment (ROI) analyses, Key Performance Indicator (KPI) development, risk assessment and indexing, as well as domain-specific measurements (example: readmission rates)
• Works with their teams to ensure data accessibility, accuracy, and quality, and may act as data stewards by contributing to management of central data stores and metadata
• Provides consultative, data-driven support on product and business strategy development
• Defines, sets up, and executes test cases to validate that analytic and software solutions meet the business acceptance criteria
• Communicates solution tradeoffs to business partners to frame and influence project decisions
• Leverages internal and external sources to validate data accuracy and benchmark results
• Promotes and champions our security and de-identification standards, while they handle sensitive administrative data (medical and pharmacy claims, clinical data, and other sensitive organizational data assets).