Senior Product Manager - Clinical Attrition Risk & Engagement

Bertelsmann SE & Co KgaA

Morrisville, NC

JOB DETAILS
SKILLS
Agile Programming Methodologies, Analysis Skills, Artificial Intelligence (AI), Backlog Prioritization, Best Practices, Business Plan, Calibration, Communication Skills, Competitive Analysis/Strategy, Computer Science, Continuous Improvement, Cross-Functional, Customer/Client Research, Data Analysis, Data Modeling, Data Science, Employee Retention, Establish Priorities, Financial Modeling, Frequently Asked Questions (FAQ), Healthcare, Inside Sales, Instrumentation, Interpersonal Skills, Literacy, Market Analysis, Marketing, Medical Products, Mentoring, Metrics, Model Review, Needs Assessment, Predictive Modeling, Presentation/Verbal Skills, Problem Solving Skills, Product Demonstration, Product Documentation, Product Management, Product Marketing, Product Strategy, Qualitative Research, Quality Metrics, Quantitative Customer Research, Release Notes, Reporting Dashboards, Requirements Management, Risk Analysis, Risk Management, Sales, Software as a Service (SaaS), Sprint Planning, Team Lead/Manager, Team Player, Telemetry, Time Management, Trend Analysis, Use Cases, User Interface/Experience (UI/UX), Writing Skills
LOCATION
Morrisville, NC
POSTED
30+ days ago

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 Senior Product Manager will act as the leader of cross-functional teams consisting of Product User Experience and Engineering to deliver against our product strategy.

This role is responsible for defining, delivering, and iterating on innovative healthcare solutions that address key customer pain points, create business value, and differentiate Relias in the market.

WHAT YOULL BE DOING

Leading and participating in the development of workforce engagement analytics to support the strategic positioning of Relias solutions in the healthcare market.

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.

Build trust and credibility by balancing customer needs, business goals, and technical feasibility.

Leveraging market sizing, TAM, SAM, and competitive analysis to identify high-value opportunities and use financial models to support investment decisions.

Formulating and testing 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.

Establishing and tracking key business and product metrics such as retention, activation, engagement, and revenue impact.

Analyzing metrics and trends for insights.

Working 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.

Providing business and market context to the development team.

Defining clear, measurable outcomes and ensuring alignment across cross-functional teams.

Defining and refining detailed requirements, user stories, and acceptance criteria that ensure clarity and execution alignment.

Driving sprint planning, backlog prioritization, and stakeholder alignment to ensure on-time, high-quality delivery.

Facilitating and performing demos for both technical and business stakeholders.

Creating product documentation, including release notes, FAQs, 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.

Defining and improving product management best practices for Relias, mentoring teammates.

Other duties as assigned.

YOUVE GOT WHAT IT TAKES

If you have:

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 going-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.

Bachelors Degree in computer science, technical discipline, or healthcare specialty.

About the Company

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Bertelsmann SE & Co KgaA