Data Management Strategy & Governance Advisor (Medicare Risk Adjustment)

Summary

The Medicare Risk Adjustment Advanced Analytics team is searching for a highly motivated and collaborative Data Management Strategy & Governance Advisor to build new data processes, expand technology capabilities, and enable analytics.  You will work closely with colleagues across the Risk Adjustment business, data science, and data analytics teams to develop new assets, data solutions, and pipelines while following best practices and data governance standards.  You are a data management expert who enjoys collaborating in a matrix organization. You are curious and enjoy exploring data and understanding the business implications behind your deliverables. You excel at translating complex datasets into clean, easy-to-use solutions and creatively solving problems. You are self-motivated and enjoy working in a fast paced environment.

Responsibilities

Consult independently with stakeholders across the RA business to prioritize and define key data enhancements and solutions to meet their needs

Develop clear and thoughtful materials to communicate data resources to the broader analytics team in order to promote transparency and share available assets

Partner with data analytics, data science, and other colleagues to drive structural data improvements which will enable better long-term analytics capabilities

Work with external vendors to develop data delivery solutions

Develop reporting in collaboration with analytics partners to monitor data quality

Work effectively and efficiently on multiple tasks and deadlines, while producing high quality results

Ensure quality and integrity of data and follow best practices while exploring innovative solutions

Qualifications

4+ years of health care or related experience; Risk Adjustment experience a plus

4+ years with Python specifically as it relates to data automation

4+ years of SQL or Teradata

2+ years of Airflow development preferred

Extensive experience in designing and deploying complex datasets / datamarts

Experience with Databricks, AirByte and / or DBT is highly desired

Comfortable translating technical solutions to a non-technical audience

Proven track record of distilling useful data assets from large and complex data sets

Demonstrated experience working with non-technical business partners in consultative manner

Strong communication skills (e.g. experience translating complex topics into easy-to-follow slides / materials)

Ability to independently prioritize and manage multiple responsibilities and comfortable with ambiguity

Bachelor’s Degree or higher in a quantitative field (e.g. mathematics, statistics, IT, business, MIS, actuarial science, finance, etc.) highly preferred