Data Manager implementing government and industry data requirements and managing data quality. Requires technical expertise in analyzing clinical and population health data across multiple states.
Responsibilities
supports implementation of government and industry policies for requirements management, document management, change management, production and delivery, and configuration management of the performance, functional, and physical baselines
Acquires, validates, stores, protects, and processes required data to ensure the accessibility, reliability, and timeliness of the data for its users
develops and executes architectures, policies, data equity principles and practices, and procedures that properly manage the full data lifecycle needs of an enterprise
understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas
makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed
follows established guidelines/procedures
develops productive relationships with Medicaid operations IT, the data warehouse team, and users of data (Finance, Clinical, Actuarial, DH&A analyst and report end users)
development of analytic and decision-making processes, outcome and impact measures to assess diverse populations across these sample traits: race, ethnicity, primary language, rural access to care, People with Disabilities, gender, sexual preference, and other environmental factors such as zip codes, provider network, Disproportionately Impacted Areas (DIAs), or Social and Structural Determinants of Health (SSDOH)
promotes and helps build a greater understanding of data trends applicable to equitable population health and improved health outcomes
creates detailed documentation of data methodologies to support trust in data/results, audits, and to meet requirements set by enterprise teams to include Medicaid Governance, the Center of Clinical Effectiveness Services & Products, as well as external reporting to the state related to our health insurance members
works independently to design and deliver on descriptive clinical analytics projects to profile clinical populations and determine drivers/factors associated health care needs, utilization, and outcomes
Requirements
Bachelor's degree
Three (3) or more years of technical experience in compiling, modeling, interpreting and analyzing clinical and population health data to identify, explain, influence variances and trends
Advanced skills with Microsoft Excel including advanced formulas, pivot tables, charts, V-Lookups and graphs
Working knowledge with coding in SQL and data extraction and (BI) analysis technologies such as SAS, SPSS, R, Minitab, QlikView, Tableau, or Power BI
Working knowledge of ad-hoc query tools and data repositories that support data extraction and manipulation
Benefits
medical, dental and vision benefits
401(k) retirement savings plan
time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
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