Job Description

Job Description

Job Description

Salary:

Product Manager - Healthcare Data Analytics

Summary:

We are seeking a Healthcare Data Analytics Product Manager, focused on conceptualizing, developing, and scaling data-driven products and platforms. This individual will be responsible for transforming vast and complex healthcare datasets (including clinical, claims, and operational data) into actionable insights, predictive models, and intuitive analytics tools. The ideal candidate possesses a strong background in data science concepts, product management discipline, and a deep understanding of the healthcare landscape, ensuring our data products are not only powerful but also ethical, compliant, and impactful.

Responsibilities:

• Product Strategy & Roadmap:
  • Contribute to the product strategy and roadmap for health care claims data-driven products, aligning with overall business objectives.
  • Conduct market research, competitive analysis, and customer needs assessments to identify opportunities.
  • Define success criteria and KPIs for data products, focusing on user engagement, accuracy of insights, and business impact.
  • Define and prioritize product features and functionalities based on data analysis and business requirements.
  • Develop and own the product roadmap for analytics platforms, data visualization tools, machine learning models, and data APIs.
  • Identify and champion the integration of AI and automation capabilities that drive efficiency, insight, and innovation across products and services.
    

• Analytics & Model Development Lifecycle:
  • Work closely with data scientists, data engineers, and BI analysts to guide the development of analytics solutions from prototype to production.
  • Translate business and clinical problems into clear, well-defined requirements for data modeling and analysis.
  • Prioritize the backlog for the data and analytics teams, balancing new features, model improvements, and technical debt.
  • Ensure the creation of compelling and intuitive data visualizations and dashboards that tell a clear story and facilitate decision-making.
  • Design dashboards and reports that provide actionable insights into claims processing, payment integrity, and cost containment.

• Product Development Execution:
  • Lead the end-to-end product development lifecycle for assigned products, from ideation to launch and iteration.
  • Translate business requirements into detailed user stories, product specifications, and technical requirements documentation.
  • Collaborate closely with UX/UI designers to create intuitive and user-friendly product interfaces.
  • Work with engineering teams to ensure timely and high-quality product development, adhering to agile methodologies.
  • Manage product backlog, prioritize development tasks, and track progress against milestones.
  • Evaluate and prioritize development initiatives based on business objectives, cost-benefit analysis, and operational readiness.

• Data Governance & Compliance:
  • Serve as the product expert on data privacy and security, ensuring all analytics products and data handling procedures adhere strictly to HIPAA and other relevant regulations.
  • Champion data quality and integrity, establishing processes for data validation and monitoring within the product.
  • Work with legal and compliance teams to conduct privacy and ethical reviews for new data use cases and predictive models.

• Claims Payment Integrity:
  • Develop products that support claims payment integrity initiatives, such as fraud detection, waste reduction, and abuse prevention.
  • Collaborate with subject matter experts to incorporate industry best practices and regulatory requirements into product design.
  • Stay abreast of emerging trends and technologies in claims payment integrity and data analytics.

• Stakeholder Enablement & Communication:
  • Act as the bridge between the technical data teams and non-technical stakeholders, including clinicians, researchers, and business executives..
  • Develop training materials and documentation to promote the adoption and effective use of analytics tools.
  • Gather feedback from end-users to continuously iterate on and improve data products.
  • Present complex data concepts, model performance, and product strategy to a wide range of audiences.

Qualifications:

• Bachelor's degree in Healthcare Administration, Information Technology, or a related field.
• 3-5+ years of product management experience, with significant experience in data, analytics, or AI/ML products and a focus on health claims data and data visualization.
• ASO claim invoice payment experience.
• Strong understanding of the healthcare industry, including claims processing, coding, and payment methodologies.
• Proven experience in developing and launching successful data-driven products.
• Proficiency in data analysis tools and techniques, including SQL, data mining, and statistical analysis.
• Experience with data visualization tools and libraries (e.g., Tableau, Power BI, QuickSight).
• Knowledge of claims payment integrity principles and best practices.
• Excellent communication, interpersonal, and presentation skills.
• Ability to work independently and as part of a cross-functional team.
• Experience with Agile development methodologies.

Preferred:

• Healthcare Knowledge: Solid understanding of healthcare data types (e.g., medical / pharmacy claims, EHR, clinical trial data, etc..) and their inherent complexities.
• Regulatory Expertise: Demonstrable knowledge of HIPAA and its implications for data analytics.
• Technical Skills: Hands-on experience with BI and data visualization tools (e.g., Tableau, Power BI, Looker). Familiarity with SQL and data exploration.
• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
• Experience with healthcare payment integrity, including the analysis of medical and pharmacy claims data to identify fraud, waste, and abuse.
• Experience managing the full lifecycle of a machine learning product.
• Knowledge of data warehousing architecture, ETL processes, and big data technologies (e.g., Redshift, Snowflake, Spark, Hadoop).
• Familiarity with programming languages used in data analysis (e.g., Python, R).
• Advanced degree in a quantitative field like Computer Science, Statistics, or Health Informatics.
• Certifications in product management, data analysis, or healthcare related fields.

Core Competencies:

• Quantitative Acumen: A natural ability to think in terms of numbers, models, and statistical significance.
• Data-Driven Storytelling: The skill to weave complex data into a clear, compelling narrative that drives action.
• Ethical Judgment: A rigorous approach to managing sensitive data and mitigating bias in algorithms.
• Systems Thinking: Ability to understand how data flows through complex systems and how to leverage it.
• Curiosity: A deep desire to ask questions of the data and relentlessly seek out answers.

4C Digital Health is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. 4C Digital Health makes hiring decisions based solely on qualifications, merit, and business needs at the time.

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