This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
The Product Manager is a key leadership role responsible for defining the direction, delivery, and optimization of data products and services across the enterprise. This role ensures data initiatives meet organizational goals, support key decision-making, and deliver measurable value to a variety of stakeholders including clinical, operational, executive, and academic teams. This role acts as a bridge between Revenue Cycle departments and DTP departments, using data-driven insights to resolve issues, optimize workflows, and ensure compliance with regulations and payer rules as well as alignment with the MSHS strategic plan.
Job Responsibility:
Lead multi-disciplinary stakeholder teams in the definition, understanding, and aid with the prioritization of data needs that impact decision-making, operations, and outcomes
Informs the utilization of information system resources and plans, designs, and implements organization wide information systems and technologies as they relate to revenue cycle workflows and strategic goals
In collaboration with Revenue Cycle, develops and refines revenue cycle metrics to identify trends, revenue leaks, and opportunities for improvement
Investigate and resolve complex issues related to billing, claims processing, and data discrepancies
Evaluates data to identify trends and gaps across Revenue Cycle processes. Uses analysis to make recommendations for improvements and optimization. Participates in improvement/optimization initiatives
Define and maintain data product roadmaps, aligning with organizational strategy, regulatory requirements, and user feedback
Translate complex healthcare challenges into clear data product requirements and problem statements
Partner with data engineers, analysts, and governance teams to deliver secure, scalable, and high-impact data products
Conduct data discovery sessions and user research to inform product features and improvements
Develop business cases that articulate the value of data portfolios and strategies including improved outcomes, cost efficiencies, or risk mitigation
Manage backlog and project planning to ensure continuous delivery of data solutions
Track KPIs and success criteria to measure impact, adoption, and ROI of data products
Champion data quality, governance, and ethical use of data across the organization
Present to leadership on data products, goals, and strategies
Performs related duties as assigned or requested
Requirements:
Bachelor’s Degree very strongly preferred or combination of education and equivalent experience
Master’s preferred
Six or more years of progressively responsible experience in healthcare analytics or revenue cycle operations
Essential skills include strong analytical, leadership, and communication abilities
Proficiency in data analysis, financial management, healthcare coding, and understanding of regulatory requirements
Experience with the Epic Clarity and Caboodle Data Models
Thorough knowledge of project improvement management processes and project management
Ability to communicate effectively in both oral and written form
Ability to interact positively, constructively and effectively with employees, professional staff, community representatives and carriers
Ability to work independently with follow-through and handle multiple tasks simultaneously
Ability to work collaboratively and promote team building with a culturally diverse staff and patient/family population
Must be a motivated individual with a positive and exceptional work ethic
Knowledge of modern data tools and methodologies (e.g., SQL, data warehouses, data visualization tools) - Preferred
MS Office Suite: Intermediate
Experience with SQL, Tableau, and Productivity tools
Strong verbal and written communication skills, including the ability to synthesize data insights into compelling narratives
Strong stakeholder management across clinical, technical, and business units
Excellent problem-solving and analytical skills
Knowledge of data governance and healthcare compliance considerations