Role Description
As a Senior Product Manager within the Enterprise Data and Analytics Platform team, you will support both our internal stakeholders and external clients as they navigate the complex healthcare revenue cycle, delivering impactful data and reporting capabilities at scale. As the owner of R1βs new product Revy, you will be responsible for taking advantage of the tremendous amount of data and information available within R1 to deliver interactive AI-driven insights and capabilities.
-
Communicate with business partners and clients to understand their analytical use cases.
-
Define and prioritize requirements with our data and software engineering teams.
-
Coordinate dependencies and timelines with other PMs and colleagues across our data and analytics ecosystem.
-
Define the vision of our self-serve analytical AI product roadmap.
-
Manage a broad scope of stakeholders and dependencies.
-
Balance the demands of supporting well-established business lines with the need to stay current with the latest capabilities offered by our technology vendors and partners.
-
Lead the AI analytics product development lifecycle from ideation to launch.
-
Prioritize initiatives, features, and stories by balancing stakeholder interests, user needs, technology direction, and product and business strategy.
-
Synthesize a variety of inputs into building, maintaining, and promoting our data product roadmap.
-
Mitigate blockers and make tough trade-off decisions between scope and schedule.
-
Stay abreast of the latest advancements offered by our partners or more broadly available in the industry.
-
Interface with engineering teams to articulate requirements, product vision, and business priorities utilizing Agile practices.
Qualifications
-
Solid product management experience, ideally supporting data and/or analytics products.
-
Prior experience in Revenue Cycle Management.
-
Proficiency in writing SQL queries from scratch.
-
Experience with Snowflake and/or Databricks.
-
Databricks Genie and/or Snowflake Cortex a plus.
-
Experience with BI dashboard development (Power BI preferred).
-
Data Contract and BI Semantic modeling (Power BI preferred).
-
Proficiency with Gen AI application and agent architecture, including:
-
Retrieval-Augmented Generation (RAG).
-
Prompt design / prompt iteration loops.
-
Evaluation of LLM outputs (accuracy, hallucination, consistency).
-
Agent orchestration framework.
-
Tooling integration.
-
Cost/performance tradeoffs (tokens, latency).
Requirements
-
This US-based position has a base pay range of $124,880.22 - $195,125.35 per year.
-
Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.
-
This job is eligible to participate in our annual bonus plan at a target of 10.00%.
Benefits
-
Opportunity to constantly learn and collaborate across groups.
-
Chance to contribute, think boldly, and create meaningful work.
-
Competitive benefits package.