Jobs · North Carolina

Senior Product Manager - Clinical Attrition Risk & Engagement

Relias · Morrisville, NC · 2 days ago
Full-time

Job Description

The Senior Product Manager owns the strategy and execution for an advanced predictive model to evaluate the risk of clinical employees’ attrition and engagement. The role involves leading and participating in the development of workforce engagement analytics to support the strategic positioning of Relias solutions in the healthcare market. Key responsibilities include:

  • Influence and align executive stakeholders, sales, marketing, customer success, and engineering on product vision, priorities, and trade-offs.
  • Partners closely with Data Science, Data Engineering, and UX to lead the scoring engine, analytic dashboards, and alerting capabilities.
  • Collaborate and partner with other Relias solutions and third-party vendors to define telemetry requirements and establish robust data contracts.
  • Evaluate partner accelerators that add behavioral signals to the model. Establish signal taxonomy, lineage, and quality monitoring (freshness, completeness, drift).
  • Partner closely with Data Science on Model Development & Design, leakage prevention, calibration, bias checks, and ongoing model retraining.
  • Define evaluation plans and thresholds, publish model cards and change logs, communicate implications and limitations to stakeholders.
  • Leverage market sizing (TAM, SAM) and competitive analysis to identify high-value opportunities and use financial models to support investment decisions.
  • Formulate and test hypotheses using customer insights, data analysis, and experimentation to drive decision-making.
  • Lead the discovery process through qualitative and quantitative research to understand customer needs, opportunities, and pain points.
  • Establish and track key business and product metrics such as retention, activation, engagement, and revenue impact. Analyze metrics and trends for insights.
  • Work closely with engineering and UX teams to break down complex problems into iterative solutions and development milestones, balancing short-term execution with long-term strategy.
  • Facilitate and perform demos for both technical and business stakeholders.
  • Create product documentation including release notes, FAQ’s, and Launch Briefs.
  • Partner with Marketing, Sales, and Customer Success to develop commercialization strategies for Relias products, features, and acquisition migrations, ensuring strong adoption and positioning.
  • Define release criteria, instrumentation plans, and success metrics to ensure product quality and measurable impact.
  • Conduct post-launch analysis and iteration cycles to continuously improve the product based on real-world performance.
  • Define and improve product management best practices for Relias, mentoring teammates.

Qualifications

  • Track record delivering analytics/ML-informed products in workforce/HCM or clinical operations.
  • Data & ML literacy; hypothesis-driven experimentation.
  • Experience integrating HRIS, scheduling, LMS, and Compliance systems.
  • Proven ability to deliver solutions to business problems, assessing risks and data to inform prioritization.
  • Proven ability to engage with engineers, designers, and company leaders in a constructive and collaborative relationship.
  • Experience with agile development process, User Experience, and customer discovery.
  • Experience with feature and business planning and go-to-market of new products.
  • Understanding of business requirements of internal functions like sales, engineering, and marketing.
  • Understanding of contemporary technologies and their applicability to solve healthcare business problems.
  • Can-do attitude with ability to get things done under minimal supervision and drive results across cross-functional teams.
  • Strong written and verbal communication skills, solid presentation skills, and proven ability to run effective meetings.
  • Very strong interpersonal skills with a demonstrated ability to achieve results through influence.
  • Ability to evaluate and prioritize Generative AI use cases based on GenAI capabilities and limitations, aligned with user needs and platform strategy.
  • 9+ years of experience in product management in SaaS and/or healthcare industry.
  • Bachelor’s Degree. It would be ideal if you have a degree in computer science, technical discipline, or healthcare specialty.

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