Product Manager, Data & Analytics

Icario is a leading health action company focused on connecting healthcare with individuals. They are seeking a Product Manager for Data & Analytics to enhance their engagement platform, focusing on data, analytics, reporting, and intelligence capabilities to improve member engagement and client outcomes.

Responsibilities:

• 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

Requirements:

• 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
• 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