Product Manager, Data & Analytics
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AI Summary
Lead the discovery, requirement definition, and delivery of data, analytics, and intelligence capabilities for the engagement platform. Collaborate with engineering and data teams to translate business needs into technical specifications and manage the product backlog.
Product Manager, Data & Analytics
Department: Product
Employment Type: Full Time
Location: Remote
Compensation: $127,900 - $143,400 / year
Description
Healthcare today is nothing short of amazing. Yet all of it only works when people connect with it. And too often, they don’t. Healthcare can be impersonal. Confusing. All elbows. The record scratch at life’s party. We’re here to help connect healthcare with the people who need it. Which is everyone. How? By listening. Collaborating. And inspiring.
Icario is the leading health action company that deeply understands people, giving our clients the data and tools they need to reach further, overcome barriers, personalize outreach, and connect with people like they’re human. Using whole person data, behavioral science, and digital-first omnichannel pathways, we build long-term value for our customers by helping them put people first and deliver better outcomes faster. This is healthcare that knows us, meets us where we are, has a relationship with us, anticipates our needs, and smoothly and consistently connects us with the right care. This is healthcare that helps everyone live better. Ultimately, our mission is to help move people to do things that are good for them! We’re excited about the path ahead—are you ready to make the world a healthier place, one person at a time?
Icario is looking for a Product Manager, Data & Analytics to help drive the evolution of our next-generation engagement platform. This role will focus primarily on the data, analytics, reporting, and intelligence capabilities that enable Icario to understand member engagement, measure program performance, support client outcomes, and unlock future AI-driven product opportunities.
This is a traditional product management role with a strong technical orientation. You will work closely with Engineering, Data, Analytics, Product Operations, Client Success, Operations, and business stakeholders to identify needs, define requirements, prioritize work, and drive execution. You will be responsible for translating business, client, operational, and technical needs into clear product requirements that engineering teams can build against.
The ideal candidate is comfortable working with data-heavy products, platform capabilities, reporting workflows, analytics experiences, data quality needs, and emerging AI opportunities. You do not need to be a data scientist or engineer, but you should be able to work deeply with technical teams, understand data flows and dependencies, ask strong questions, and make informed product tradeoffs.
Strong fluency with Jira and Confluence is important for this role. This person should be comfortable using Jira to manage product work from discovery through delivery, including epics, user stories, acceptance criteria, backlog refinement, sprint/release scope, dependencies, and delivery status.
This role is critical to helping Icario continue the transition from a services-heavy business to a scalable platform company. You will help define the capabilities that make our platform more measurable, intelligent, configurable, and actionable over time.
In this position, you will report directly to the Director of Product Management.
For positions offering fully remote flexibility, please keep in mind all Icario employees must live within the United States full time. All employee work conducted for Icario must be performed within the United States. Some exceptions for temporarily working outside the U.S. may be made on a case-by-case basis subject to approval under the condition work involved does not include accessing PHI.
Why We Need You
- Own product discovery, requirements definition, prioritization, and delivery for data, analytics, reporting, and intelligence capabilities within Icario’s platform.
- Partner closely with Engineering, Data Engineering, Analytics, and Architecture teams to define buildable requirements, clarify technical dependencies, and support execution.
- Translate business, operational, client, and user needs into clear product requirements, user stories, acceptance criteria, workflow definitions, and success measures.
- Prioritize product work based on business value, client impact, platform scalability, data quality, technical feasibility, and alignment to product strategy.
- Support the evolution of Icario’s new platform by defining capabilities that improve data visibility, reporting accuracy, analytics usability, performance measurement, and decision-making.
- Work with cross-functional stakeholders to understand current reporting and analytics pain points, workflow gaps, data dependencies, and opportunities for platform improvement.
- Partner with Engineering to refine scope, sequence delivery, resolve ambiguity, and make informed tradeoff decisions throughout the product development lifecycle.
- Strong fluency with Jira and Confluence is important for this role. This person should be comfortable using Jira to manage product work from discovery through delivery, including epics, user stories, acceptance criteria, backlog refinement, sprint/release scope, dependencies, and delivery status.
- Define and manage a product backlog for assigned platform capabilities, ensuring the work is clear, prioritized, and aligned to roadmap objectives.
- Collaborate with Product Operations, Operations, Support, and Client Success to understand implementation needs, production issues, reporting gaps, and recurring user friction.
- Help identify where data, analytics, automation, and AI can improve member engagement, program performance, operational efficiency, and client outcomes.
- Support the early evolution of AI-enabled capabilities by helping define use cases, data needs, workflow implications, user value, risks, and product requirements.
- Partner with UX, Analytics, and client-facing teams to ensure reporting and analytics experiences are understandable, actionable, and aligned to user needs.
- Define product success metrics and partner with Analytics to evaluate adoption, usage, performance, quality, and business impact.
- Communicate product priorities, tradeoffs, delivery status, risks, and decisions clearly to stakeholders.
- Help drive a more scalable product operating model by creating clarity around requirements, decision-making, dependencies, and delivery expectations.
- Embody Icario’s values.
- Requirements definition for data, analytics, reporting, and intelligence capabilities.
- Jira epics, stories, acceptance criteria, backlog hygiene, and delivery visibility for assigned product areas.
- Confluence documentation for product requirements, decisions, workflows, reporting logic, release context, and stakeholder alignment.
- Clear, buildable product artifacts that reduce ambiguity before work enters Engineering execution.
- Product backlog prioritization for assigned platform domains.
- User stories, acceptance criteria, and product documentation.
- Cross-functional product discovery and stakeholder alignment.
- Product delivery partnership with Engineering and Data teams.
- Data and analytics workflow understanding.
- Reporting and analytics experience improvements.
- AI use case exploration and early product requirement definition.
- Product decisions and tradeoffs within assigned scope.
- Product quality, release readiness, and success measurement for assigned capabilities.
- Data model, data pipeline, integration, and reporting dependencies.
- Analytics strategy and measurement frameworks.
- AI strategy, governance, and implementation feasibility.
- Operational readiness and supportability.
- Client-facing reporting needs and business outcome measurement.
- Platform roadmap planning and prioritization.
- Release planning, QA, UAT, and launch readiness.
What We'll Love About You
At Icario, we’re not looking for the impossible, just the exceptional. If you meet a combination of the skills below, we encourage you to apply.
- 4–7 years of professional experience as a Product Manager, Technical Product Manager, Data Product Manager, Platform Product Manager, Product Owner, Business Analyst, or related role with strong product ownership exposure.
- Experience working with data, analytics, reporting, platform products, data-driven workflows, or technical product capabilities.
- Strong ability to translate ambiguous business needs into clear product requirements, user stories, acceptance criteria, and delivery plans.
- Jira epics, stories, acceptance criteria, backlog hygiene, and delivery visibility for assigned product areas.
- Confluence documentation for product requirements, decisions, workflows, reporting logic, release context, and stakeholder alignment.
- Clear, buildable product artifacts that reduce ambiguity before work enters Engineering execution.
- Experience partnering directly with Engineering, Data Engineering, Analytics, Architecture, QA, and technical stakeholders.
- Ability to understand technical concepts such as data flows, integrations, APIs, reporting logic, data quality, configuration, rules, and platform dependencies.
- Strong prioritization skills, with the ability to balance client needs, business value, technical complexity, risk, and platform scalability.
- Experience managing a product backlog and driving execution through Agile or similar product development processes.
- Comfort working with reporting tools, analytics platforms, data visualization, BI tools, data warehouses, or operational reporting systems.
- Ability to use data to inform product decisions, measure success, and evaluate product performance.
- Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders.
- Comfortable working in ambiguity and creating structure where requirements, workflows, or ownership are unclear.
- Strong cross-functional leadership skills and the ability to influence through clarity, credibility, and strong product judgment.
- Healthcare, health plan, payer technology, member engagement, rewards/incentives, surveys, care management, or regulated B2B SaaS experience preferred.
- Experience with AI, machine learning, predictive analytics, personalization, automation, or decision-support products is a plus.
The right candidate does not need to be an engineer, but should be comfortable working with technical teams and data-heavy product areas. Preferred exposure includes:
- Data platforms, data warehouses, lakehouses, or data marts.
- BI and reporting tools such as Power BI, Tableau, Looker, or similar platforms.
- Data quality, data governance, metadata, lineage, or reporting accuracy concepts.
- APIs, integrations, file feeds, ETL/ELT processes, or data pipelines.
- Analytics workflows, dashboards, scorecards, and operational reporting.
- Rules engines, orchestration platforms, configuration logic, or workflow automation.
- AI/ML concepts such as predictive models, recommendations, personalization, classification, natural language processing, or generative AI.
- Privacy, security, PHI, HIPAA, or regulated healthcare data environments.
Success in this role will be measured by:
- Clearer, higher-quality requirements for data, analytics, reporting, and intelligence capabilities.
- Jira work is consistently clear, current, prioritized, and ready for Engineering execution.
- Epics, stories, acceptance criteria, and requirements are actionable and reduce ambiguity for Engineering and Data teams.
- Confluence documentation is useful, current, and trusted by cross-functional stakeholders.
- Product decisions, reporting logic, workflow context, and release expectations are easier to find and understand.
- Backlog hygiene and documentation quality improve delivery predictability and reduce rework.
- Stronger alignment between Product, Engineering, Data, Analytics, Operations, and client-facing teams.
- Improved prioritization of platform capabilities based on business value, user needs, technical feasibility, and strategic impact.
- More reliable and usable analytics, reporting, and data-driven product experiences.
- Faster resolution of ambiguity before work enters engineering execution.
- Improved visibility into product performance, client outcomes, and operational impact.
- Better product readiness for future AI-enabled capabilities.
- Reduced dependency on tribal knowledge and manual reporting workarounds.
- Increased confidence that platform capabilities are scalable, measurable, and aligned to Icario’s product strategy.
What You'll Love About Us
- 4+ weeks PTO, Summer PTO, and unlimited Health & Wellness PTO
- Competitive benefits package including: medical, dental, vision, disability, FSA, HSA, pet insurance, and more
- Generous 401k program with company match
- Company paid parental leave
- Work-life harmony
- $1,000 employee referral bonus program
- Fully remote & hybrid working models with office locations in Minneapolis, MN & Birmingham, AL
- The list goes on, apply to learn more!
JOIN US
Want to learn more about us? Visit us at icariohealth.com.
Icario is committed to fostering a welcoming, accessible, respectful, and inclusive environment that ensures equal access and participation for people with disabilities. Please let us know if you require any accommodations by including this in the Personal Summary section of your application.
Icario is proud to be an Equal Opportunity Employer. We strive to empower an inclusive workplace culture that maximizes every employee’s contribution; widens the leadership pipeline; and ultimately increases the quality of our ideas, products, and our collective mindset. The intersection of opinions and experiences is made stronger by the power of different voices, ideas, and perspectives. By championing a culture of fairness and belonging in our workforce and workplace, we're helping ensure we can meet the challenges of the future. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. As this role has exposure to confidential information, a background check will be conducted upon acceptance of this role.
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