Product Manager, Data & Analytics

Icario•,

9h•$127,900 - $143,400•Remote

About The Position

Icario is seeking a Product Manager, Data & Analytics to drive the evolution of its next-generation engagement platform. This role will focus on data, analytics, reporting, and intelligence capabilities that enable understanding member engagement, measuring program performance, supporting client outcomes, and unlocking future AI-driven product opportunities. It's a technically oriented product management role requiring close collaboration with Engineering, Data, Analytics, Product Operations, Client Success, Operations, and business stakeholders to define needs, requirements, and priorities. The ideal candidate is comfortable with data-heavy products, platform capabilities, reporting workflows, analytics experiences, data quality, and AI opportunities, and can work effectively with technical teams. Strong proficiency in Jira and Confluence is essential for managing product work from discovery to delivery. This role is crucial for Icario's transition to a scalable platform company, focusing on making the platform more measurable, intelligent, configurable, and actionable. The position reports to the Director of Product Management.

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.

Nice To Haves

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.

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.
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.