MRO
Product Owner, Data & Analytics
MRO, Norristown, Pennsylvania, United States, 19488
The Product Owner for Data & Analytics is responsible for leading and executing initiatives on the product roadmap with a specific focus on data products, data management, and standardization across systems. This role involves managing the lifecycle of these initiatives, from analysis and documentation through implementation and KPI monitoring. The Product Owner will work closely with key stakeholders to ensure that products meet operational, financial, and customer requirements while aligning with industry best practices in data standardization.
This position requires a strong blend of business and technical expertise, with an emphasis on developing innovative data solutions, improving existing data products, and driving data standardization initiatives across multiple markets. The Product Owner will work in close partnership with technology, operations, and business teams, leveraging agile methodologies to deliver high-quality data-driven products.
Responsibilities:
Drive the creation, execution, and monitoring of initiatives focused on data products and standardization within the product roadmap.Partner with cross-functional stakeholders to understand and document workflows, perform gap analysis, and plan for product changes related to data management and standardization.Collaborate with finance to ensure cost monitoring, financial projections, and KPI tracking for data initiatives.Develop and maintain product specifications for technical development and operational execution, particularly around data integration, quality, and standardization efforts.Manage documentation of epics, features, and user stories in Confluence, Jira, and other project management tools.Serve as the subject matter expert (SME) for data products, providing guidance during client presentations and internal discussions.Interface with clients and internal teams to identify opportunities for data standardization, system integration improvements, and overall product enhancements.Lead beta and pilot programs for new data products or features, ensuring they meet quality and performance standards.Develop business cases and financial models to support investment requests and resource allocation, especially for data-driven initiatives.Work with the sales and customer success teams to develop training materials and messaging that articulate the value of data products and standardization efforts.Monitor and report on the status of product initiatives, ensuring deliverables are met on time and identifying areas for continuous improvement.Drive data governance, ensuring that all data products align with industry standards and internal policies.Qualifications:
Bachelor's degree required, with a preference for degrees in Data Science, Computer Science, Information Systems, or related fields. PMP or Agile certifications are a plus.3+ years of experience in product development or management focused on data products, data integration, or standardization in healthcare or related industries.Strong understanding of health data systems, including EMR, payer-provider data exchanges (e.g., gaps in care, care quality), and vendor integrations.Familiarity with Business Intelligence tools like PowerBI, Tableau, etc.Experience working in Agile environments with a focus on delivering data products through SCRUM or similar frameworks.Key Skills:
Expertise in data management, data quality, and data governance frameworks.Proven ability to work with cross-functional teams and influence stakeholders to align around data standardization goals.Analytical mindset with the ability to derive actionable insights from data and apply them to product development.Excellent communication and documentation skills, with experience preparing user stories, business cases, and technical requirements related to data products.Familiarity with key technologies and tools for data standardization and product management, including Microsoft Project, Jira, Confluence, and various data analysis tools.Experience:
Strong background in the healthcare industry, with a specific focus on data integration, EMR systems, payer-provider data exchange, or other healthcare-related data products.Proven experience in leading projects that involve data standardization, quality improvements, and cross-system data integrationDemonstrated success in managing the full product lifecycle for data products, from concept to delivery and ongoing optimization.
This position requires a strong blend of business and technical expertise, with an emphasis on developing innovative data solutions, improving existing data products, and driving data standardization initiatives across multiple markets. The Product Owner will work in close partnership with technology, operations, and business teams, leveraging agile methodologies to deliver high-quality data-driven products.
Responsibilities:
Drive the creation, execution, and monitoring of initiatives focused on data products and standardization within the product roadmap.Partner with cross-functional stakeholders to understand and document workflows, perform gap analysis, and plan for product changes related to data management and standardization.Collaborate with finance to ensure cost monitoring, financial projections, and KPI tracking for data initiatives.Develop and maintain product specifications for technical development and operational execution, particularly around data integration, quality, and standardization efforts.Manage documentation of epics, features, and user stories in Confluence, Jira, and other project management tools.Serve as the subject matter expert (SME) for data products, providing guidance during client presentations and internal discussions.Interface with clients and internal teams to identify opportunities for data standardization, system integration improvements, and overall product enhancements.Lead beta and pilot programs for new data products or features, ensuring they meet quality and performance standards.Develop business cases and financial models to support investment requests and resource allocation, especially for data-driven initiatives.Work with the sales and customer success teams to develop training materials and messaging that articulate the value of data products and standardization efforts.Monitor and report on the status of product initiatives, ensuring deliverables are met on time and identifying areas for continuous improvement.Drive data governance, ensuring that all data products align with industry standards and internal policies.Qualifications:
Bachelor's degree required, with a preference for degrees in Data Science, Computer Science, Information Systems, or related fields. PMP or Agile certifications are a plus.3+ years of experience in product development or management focused on data products, data integration, or standardization in healthcare or related industries.Strong understanding of health data systems, including EMR, payer-provider data exchanges (e.g., gaps in care, care quality), and vendor integrations.Familiarity with Business Intelligence tools like PowerBI, Tableau, etc.Experience working in Agile environments with a focus on delivering data products through SCRUM or similar frameworks.Key Skills:
Expertise in data management, data quality, and data governance frameworks.Proven ability to work with cross-functional teams and influence stakeholders to align around data standardization goals.Analytical mindset with the ability to derive actionable insights from data and apply them to product development.Excellent communication and documentation skills, with experience preparing user stories, business cases, and technical requirements related to data products.Familiarity with key technologies and tools for data standardization and product management, including Microsoft Project, Jira, Confluence, and various data analysis tools.Experience:
Strong background in the healthcare industry, with a specific focus on data integration, EMR systems, payer-provider data exchange, or other healthcare-related data products.Proven experience in leading projects that involve data standardization, quality improvements, and cross-system data integrationDemonstrated success in managing the full product lifecycle for data products, from concept to delivery and ongoing optimization.