Job Details
*** Must have Healthcare experience
*** Must have experience in: payment integrity, fraud detection, claims analysis
*** REMOTE working in EST hours
Product Manager - Data Science (Healthcare and Payment Optimization)
Overview: We are seeking a talented Product Manager with a Data Scientist centric mindset who has experience working within Healthcare & Payment Integrity
Responsibilities:
1. Product Strategy: execute a strategic roadmap for healthcare payment integrity, fraud detection, and waste management, aligning with organizational goals and market needs.
2. Collaboration: Work closely with cross-functional teams, including data scientists, engineers, healthcare experts, and stakeholders, to define product requirements, prioritize features, and drive execution.
3. Data Analysis: Utilize Python and SQL skills to analyze large datasets, identify patterns, and develop predictive models for detecting fraudulent activities and reducing waste in healthcare claims.
4. Feature Development: Lead the end-to-end product development process, from concept ideation to deployment, ensuring that product features meet quality standards and address customer needs.
5. Performance Monitoring: measure the effectiveness of fraud detection algorithms and claims management solutions, and iterate on product improvements based on data-driven insights.
6. Regulatory Compliance: Stay informed about healthcare regulations and compliance requirements related to payment integrity and fraud prevention, ensuring that our products adhere to industry standards.
Qualifications:
Bachelor's or Master's degree in Computer Science, Data Science, Healthcare Management, or related field.
5 years of experience in product management roles, preferably in healthcare or related industries, with a focus on data science and payment integrity.
Proficiency in Python and SQL for data analysis, modeling, and querying large datasets.
Strong analytical skills and the ability to translate data insights into actionable product features.
Excellent communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.
Proven track record of successfully delivering data-driven products or solutions in a fast-paced environment.