Associate Director Applied Informatics

SCA Health•UNAVAILABLE, UNAVAILABLE

About The Position

The Associate Director, Applied Informatics is a senior technical contributor in SCA Health’s Enterprise Analytics organization. The role designs, develops, and advances data infrastructure, automation frameworks, and analytical enablement capabilities. It serves as a subject matter expert in healthcare data architecture, data integration and innovation, SQL Server technologies, and analytics platform support. Working across Strategic Analytics, Revenue Analytics, Operational Analytics, and Applied Informatics, the Associate Director partners with business and technical stakeholders to remove technical barriers, improve scalability and data accessibility, and accelerate actionable insights. The position provides technical leadership through influence, mentorship, and solution design while remaining hands-on with development and implementation. It supports enterprise reporting and advanced analytics, sensitive healthcare information handling, platform modernization, and process improvement.

Requirements

Bachelor’s degree in Healthcare Informatics, Information Systems, Computer Science, Data Analytics, Healthcare Administration, or a related field.
Seven or more years of progressive experience in healthcare analytics, healthcare informatics, data engineering, business intelligence, or related disciplines.
Advanced expertise in Microsoft SQL Server and T-SQL development, including SSIS package development using Visual Studio.
Demonstrated experience designing and supporting analytical data solutions.
Experience working with large and complex healthcare datasets.
Ability to independently manage complex projects with multiple stakeholders.
Extreme attention to detail and excellent analytical, communication, and problem-solving skills.
Advanced proficiency in Microsoft SQL Server and T-SQL development, including SSIS and Visual Studio for ETL development.
Advanced proficiency in query optimization and performance tuning.
Advanced proficiency in healthcare claims data integration.

Nice To Haves

Understanding of healthcare operations, reimbursement methodologies, physician services analytics, population health initiatives, and deriving insights from clinical and clearinghouse claims data.
Intermediate proficiency creating and supporting automation using Excel VBA.
Experience supporting Tableau, Power BI, or other enterprise analytics platforms.
Knowledge of cloud-based data platforms and modern data architecture patterns.
Preferred experience with PowerShell.
Preferred experience with Microsoft Excel VBA development.
Preferred experience with Tableau and/or Power BI.
Preferred experience with Python.

Responsibilities

Design, create, and maintain enterprise data solutions using Microsoft SQL Server, including stored procedures, functions, views, and SSIS packages developed with Visual Studio.
Review the team’s full development lifecycle and ensure adherence to enterprise standards for data quality, coding, performance, scalability, and technical best practices.
Lead complex healthcare data integration, transformation, and analytics enablement initiatives, while supporting implementation of enterprise data governance principles.
Establish scalable, reusable data architectures for enterprise reporting and advanced analytics, recommending technical approaches that maximize value and minimize complexity and maintenance.
Support modernization and standardization across analytics platforms, database environments, data movement processes, and ETL workflows.
Collaborate with business leaders and analysts to identify analytical opportunities and translate requirements into scalable technical solutions.
Support enterprise business intelligence platforms and self-service analytics initiatives.
Enable complex analyses using internal clinical, operational, and financial information, as well as clearinghouse claims and value-based care data.
Ensure sensitive healthcare information is handled appropriately and in compliance with organizational policies.
Identify opportunities to automate manual analytical and reporting processes and build scalable solutions that improve efficiency, reliability, and data accessibility.
Reduce technical debt through platform simplification, standardization, and modernization.
Lead technical assessments and recommend improvements to data workflows and reporting infrastructure.
Drive adoption of innovative technologies that increase organizational analytical capabilities.
Advise analytics leaders, business stakeholders, and technical teams.
Guide and mentor analysts and developers on data architecture, SQL development, and healthcare data concepts.
Lead technical discussions, design reviews, and solution planning activities to foster collaboration.
Communicate complex technical concepts to technical and non-technical audiences.