Oversee the definition and delivery of health and social data analytics and reporting products/services.
Serve as product owner for products and services from MX’s data platform, including creating new products/services and enhancing existing products/services to maximize value for MX participants.
As a product owner, document and track requirements, enhancements, and backlog from initial ideation through to eventual delivery.
Provide guidance, leadership and management of key data platform activities including, but not limited to: Reports, dashboards, and analytics deliverables to provide insights to meet internal and external business needs.
Data quality investigations, measurement, and improvement; and
Data life cycle management (including archival, compression) working with the Technical Operations team.
Support MX leadership in tracking progress/issues and delivering on key data team initiatives, including assigned Organization Key Results related to strategic MX objectives.
Provide direction on and apply best practices and approaches in the development of reports, dashboards, and analytics to democratize MX data for relevant use cases to support MX leadership and MX participants.
Conduct data analysis by defining and developing reports, dashboards, analytics, and research as assigned using SQL and identified business intelligence tools.
Establishing data usage guidelines and relevant data dictionaries for business leaders across the MX organization for accessing and leveraging MX data.

Requirements

Substantial healthcare industry and clinical informatics knowledge/expertise.
Strong understanding of federal public health programs and funding streams (public health analytics, product management, and/or informatics experience preferred).
Experience with health information interoperability standards such as HL7 V2, CCDA, FHIR, USCDI, etc. (experience with InterSystems HealthShare Health Information Exchange SDA architecture is a huge plus).
5+ years’ experience with cloud-based data management, reporting, and analytics tools including SQL, Redshift, BI tools (Tableau, PowerBI, AWS QuickSight), and Python.
Strong interpersonal and management skills.
Ability to translate business requests into BI visualizations that drive insights.
Strong attention to detail and well organized, excellent analytical problem-solving skills, can work independently and work collaboratively across teams.

Benefits

Bonus
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Applicant Tracking System Keywords

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Hard skills

data analyticsreportingSQLbusiness intelligencedata quality measurementdata life cycle managementdata analysiscloud-based data managementPythonhealth information interoperability standards

Soft skills

leadershipmanagementinterpersonal skillsanalytical problem-solvingattention to detailorganizational skillscollaborationcommunication