Manager, Medical Economics

Cityblock Health

1d•$120,000 - $150,000

About The Position

The Manager, Medical Economics designs and builds analytic solutions to inform business decisions, drive operations, measure performance, and demonstrate Cityblock’s value. The role partners with financial, clinical, and operational stakeholders to answer complex business and clinical questions and help Cityblock support its members effectively and efficiently. The position establishes trusted partnerships with clinical, operational, and research leaders; designs and executes evaluation plans; and applies statistical and machine learning methods to measure clinical and financial outcomes. It also develops reporting solutions using Cityblock’s Google technology stack, DBT, and SQL, supports data quality and automation, and maintains analytics documentation. The manager will use AI-assisted workflows to develop and manage dbt models and semantic context, and design conversational analytics tools for stakeholder self-service.

Requirements

At least 5 years of experience in advanced analytics, delivering actionable insights from data, and working in database and big data analytics environments.
At least 3 years of experience developing statistical and machine learning models to address complex healthcare problems using techniques such as generalized linear regression, negative binomial regression, k-means clustering, and decision trees.

Responsibilities

Build trusted working partnerships with clinical, operational, and research leaders to identify opportunities for system change, implement them, and measure and communicate results.
Design and execute evaluation and measurement plans to assess outcomes of Cityblock programs and initiatives.
Use complex statistical and machine learning approaches to demonstrate the clinical and financial outcomes of projects and programs.
Communicate results through presentations, white papers, and peer-reviewed publications.
Implement and configure reporting technologies in the Google tech stack and use DBT and SQL.
Perform complex descriptive analyses on production-scale data to inform business decisions.
Interpret data, identify patterns, and explain findings.
Design reports and develop traditional and non-traditional success metrics for value-driven business lines.
Work with clinical operations to design and implement robust evaluation frameworks.
Ensure data quality and validation, and use data-cleansing techniques to address ad hoc and systemic issues.
Build automation capabilities into reporting solutions.
Maintain the analytics repository and relevant documentation.
Use AI-assisted workflows to accelerate the development, optimization, and management of dbt models and semantic context.
Design and deploy conversational analytics tools for stakeholder self-service.