# Avalon Healthcare Solutions — Product Owner, Applied Intelligence (HEALTHCARE)

## Posting metadata

- Original JD posting: https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=47dbbe30-59f3-4be8-90d6-9934bef76b9f&ccId=19000101_000003&jobId=518097
- Verified portfolio posting: https://careers.franciscopartners.com/companies/avalon-healthcare-solutions/jobs/76388338-product-owner-applied-intelligence
- Provider: ADP Workforce Now, mirrored by Francisco Partners / Getro
- Company: Avalon Healthcare Solutions
- Title: Product Owner, Applied Intelligence (HEALTHCARE)
- Location: Tampa, Florida, USA
- Work model: Remote eligible
- Travel: Quarterly travel required to Avalon’s corporate office in Tampa, Florida
- Compensation: Not disclosed
- Employment type: Not specified
- Posted: April 27, 2026 at 21:02 UTC (approximately 133 days before capture)
- Posting status: Active when verified
- Applicant count: Not disclosed
- Captured: September 8, 2026 at 2:37 PM EDT

## Normalized job description

### About Avalon Healthcare Solutions

Avalon Healthcare Solutions is the nation’s leader in diagnostic intelligence, uniquely focused on transforming the role of diagnostic testing across the healthcare ecosystem. Its proprietary Diagnostic Insights Platform delivers evidence-based policies, curated lab networks, and real-time analytics that simplify complex diagnostics, accelerate innovation adoption, and optimize diagnostic investments.

Supporting over 30 health plans and 100 million members nationwide, Avalon partners with payers and providers to ensure diagnostic testing is performed appropriately, efficiently, and at the right time. Its flexible solutions span routine and genetic testing management, automated adherence, and end-to-end diagnostics support, driving measurable value, reduced waste, and improved clinical outcomes.

Avalon states that employees will help shape a new market and business while improving clinical outcomes and healthcare affordability. Avalon Healthcare Solutions is an Equal Opportunity Employer — Vet/Disability. The position description may change based on business needs.

### About the position

The Product Owner, Applied Intelligence is responsible for translating business needs into scalable, data-driven, and AI-enabled product capabilities. The role sits at the intersection of product, data science, and engineering and owns delivery of intelligent features, models, and automation that enhance decision-making, operational efficiency, and customer value.

The Product Owner engages business stakeholders across the organization to surface opportunities, shape priorities, and build shared understanding of AI/ML capabilities, while partnering with data scientists and engineers to bring use cases from concept to production in a reliable, compliant, and impactful way.

The position is eligible for remote work, but quarterly travel is required to Avalon’s corporate office in Tampa, Florida.

### Essential functions and responsibilities

- Own and manage the product backlog for Applied Intelligence initiatives, including AI/ML models, analytics products, and automation solutions.
- Lead ongoing backlog-refinement sessions with cross-functional stakeholders so priorities reflect current business needs, not only engineering capacity.
- Translate business problems into clear user stories, acceptance criteria, and prioritized work for engineering and data-science teams.
- Partner with Engineering and Data teams in Agile delivery, ensuring timely and high-quality releases.
- Continuously refine and reprioritize the backlog based on business impact, performance insights, and stakeholder feedback.
- Proactively engage business stakeholders to identify and validate high-value opportunities for AI/ML and advanced analytics.
- Support development of use cases such as predictive modeling, decision support, anomaly detection, and workflow automation.
- Act as the primary liaison between business and technical teams.
- Drive structured discovery and prioritization processes with stakeholders.
- Communicate progress, risks, and outcomes to stakeholders at all levels.
- Partner with data-engineering teams to ensure data availability, quality, and accessibility.
- Define and track KPIs for AI-driven features and drive continuous improvement.

### Minimum qualifications

- Bachelor’s degree.
- Four to eight years of experience in product management, product ownership, or business analysis with exposure to data, analytics, or AI/ML-driven products.
- Experience working in Agile environments with cross-functional teams.
- Healthcare or health-tech experience.
- Strong ability to translate complex business problems into structured product requirements.
- Working knowledge of AI/ML concepts and machine-learning workflows.
- Excellent communication and stakeholder-management skills.
- Analytical mindset with a focus on outcomes and measurable impact.

### Preferred qualifications

- Experience at a private-equity-backed growth-stage company.

## Positioning track

Technical IC (product-focused). The posting describes backlog and product-delivery ownership but no direct reports, budget accountability, or management-of-managers scope.

## Evidence map

| Priority requirement | Weight | Evidence score | Supported Keith Steward evidence |
|---|---:|---:|---|
| Own AI/data product priorities and translate needs into product work | 3 | 2 | Four years of documented product-management experience; at Intelligent DataWorks, customer discovery, HR workflow requirements, roadmap management, feature targeting, architecture, and delivery were direct responsibilities. |
| Working knowledge of AI/ML workflows and intelligent-product delivery | 3 | 3 | More than 25 years building AI, ML, analytics, and data systems; designed production ML, forecasting, optimization, and AI-orchestration capabilities. |
| Healthcare or health-tech experience | 3 | 2 | Direct healthcare/dental-technology experience plus enterprise AI/ML and analytics advisory work involving healthcare organizations, though recent payer/diagnostic-lab product ownership is not shown. |
| Agile cross-functional delivery | 3 | 3 | Led Agile engineering teams, daily Scrum, two-week sprints, and cross-functional cloud/AI delivery at Intelligent DataWorks, SuccessKPI, and other employers. |
| Stakeholder discovery, prioritization, and communication | 2 | 3 | Worked with executive and functional stakeholders; prioritized more than 50 analytics use cases and KPIs at TriMark and advised more than 200 enterprise AWS customers. |
| Data availability, quality, accessibility, and analytics foundations | 2 | 3 | Built enterprise data platforms, data lakes, ETL pipelines, cataloging/normalization, and analytics architectures; reduced cross-ERP reporting from roughly two months to one day at TriMark. |
| KPI ownership and measurable product outcomes | 2 | 3 | Defined and prioritized KPIs and produced measurable outcomes across enterprise analytics, AI products, and operational systems. |
| Private-equity-backed growth-stage company experience | 1 | 3 | SuccessKPI was a privately held, private-equity-funded AI SaaS company where Keith led engineering, architecture, product management, and delivery. |

Weighted capability score: 51 / 57 = 89%. This score measures experience coverage only and does not override hard constraints.

## Fit assessment

- Outcome: OVERRIDDEN by Keith on September 8, 2026; application materials generated despite the original compensation and down-level policy conflicts.
- Exact function match: Strong. Keith has direct product-management, AI/ML delivery, requirements, Agile, data-platform, KPI, and stakeholder experience.
- Level match: Weak. The role requests 4–8 years and is scoped as an individual Product Owner; Keith’s recent CEO, VP, and Senior Director experience creates substantial down-level and overqualification risk.
- Management-scope match: The role lists no people-management accountability, while Keith has recently built and led sizable technical organizations.
- Domain match: Good but not exact. Keith has healthcare/health-tech evidence, though current diagnostic-benefits, payer, and laboratory-management product ownership is not documented.
- Platform/technology match: Strong for AI/ML, predictive analytics, data engineering, automation, and production delivery.
- Work-model match: Remote eligibility is confirmed. Quarterly Tampa travel is approximately four trips annually; exact trip duration is not stated, so compatibility with Keith’s 5% maximum cannot be proven but appears plausible if trips are brief.
- Compensation match: Fails Keith’s application rule. No compensation is disclosed, and the title is Product Owner rather than Director, Senior Director, VP, or Chief.

### Strongest differentiators

1. Unusually deep hands-on AI/ML, data-platform, and product-delivery experience for an Applied Intelligence product role.
2. Direct experience in both private-equity-backed AI SaaS and regulated healthcare/health-tech settings.

### Material gaps and risks

1. Undisclosed compensation combined with a non-Director/VP/Chief title conflicts with Keith’s compensation-screening rule.
2. Material down-level and overqualification risk relative to Keith’s recent CEO, VP, and Senior Director scope.
3. Recent payer, diagnostic-lab, or lab-benefit-management product ownership is not documented.

## Artifact decision

Keith explicitly overrode the original FAIL classification. A technical-IC/product-positioned resume and cover letter were generated on September 8, 2026 at 4:27 PM EDT.

- Resume: `Keith_Steward_Product_Owner_Applied_Intelligence_Avalon_Resume.pdf` — 2 pages, 8,529 bytes
- Cover letter: `Keith_Steward_Product_Owner_Applied_Intelligence_Avalon_Cover_Letter.pdf` — 1 page, 4,001 bytes
- Override caveats retained: undisclosed compensation, material overqualification/down-level risk, and quarterly Tampa travel.

## Validation record

- Canonical/provider page returned HTTP 200 and showed the posting as active on September 8, 2026.
- Role title, company, posted timestamp, location, work model, travel, qualifications, and posting status were verified against provider metadata and the supplied JD.
- Compensation and applicant count were not disclosed.
- Google Drive was not used.