Exemption Status:

United States of America (Exempt)

$95,717 - $132,808 - $169,898

“Pay scale information is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any selected candidate or employee, which is always dependent on actual experience, education, qualifications, and other factors.  A full review of our comprehensive pay and benefits will be discussed at the offer stage with the selected candidate.”

This position is not eligible for Sponsorship.

MedImpact Healthcare Systems, Inc. is looking for extraordinary people to join our team!

Why join MedImpact? Because our success is dependent on you; innovative professionals with top notch skills who thrive on opportunity, high performance, and teamwork. We look for individuals who want to work on a team that cares about making a difference in the value of healthcare.

At MedImpact, we deliver leading edge pharmaceutical and technology related solutions that dramatically improve the value of health care. We provide superior outcomes to those we serve through innovative products, systems, and services that provide transparency and promote choice in decision making. Our vision is to set the standard in providing solutions that optimize satisfaction, service, cost, and quality in the healthcare industry. We are the premier Pharmacy Benefits Management solution!

Job Description

Summary

The Data Integration Project Manager (State Medicaid FFS Implementations) is a leader within the Fee-for-Service Implementations organization responsible for overseeing all data-related activities for new government healthcare client implementations, primarily focused on Medicaid Fee-For-Service pharmacy programs. This role ensures that historical and operational data is accurately converted, validated, documented, and transitioned into production environments to support operational readiness and long-term program stability. Serving as the central point of accountability for data readiness, the manager coordinates across internal technology, operations, and client teams to establish data quality, traceability, compliance, and monitoring prior to go-live. The position requires a strategic yet execution-focused approach, combining deep data management expertise with strong organizational and communication skills to translate complex data initiatives into clear plans, risks, and outcomes for internal stakeholders and government clients.

Essential Duties and Responsibilities include the following. Other duties may be assigned.

• Own and oversee all data-related workstreams for new client implementations, including data conversion, data validation, historical data loading, and transition to steady-state operations.
• Define and execute data conversion strategies that ensure accurate migration of historical Medicaid pharmacy data, including claims, eligibility, clinical, and rebate-related datasets as applicable.
• Partner with implementation project managers to integrate data activities into overall implementation plans, milestones, dependencies, and readiness assessments.
• Serve as the primary point of accountability for data readiness at go-live, ensuring data completeness, integrity, reconciliation, and acceptance criteria are met.
• Collaborate closely with data engineering, application, infrastructure, and operations teams to coordinate ETL processes, data pipelines, and secure data transfers (e.g., SFTP).
• Establish and maintain detailed data documentation, including source-to-target mappings, data dictionaries, transformation logic, reconciliation results, and operational runbooks.
• Ensure data is properly configured for ongoing monitoring, auditing, and support, enabling smooth post-implementation operations and rapid issue detection.
• Facilitate data validation, testing, and reconciliation activities with internal teams and external clients, including defect triage and resolution tracking.
• Identify data-related risks early in the implementation lifecycle and proactively develop mitigation strategies to prevent downstream operational issues.
• Support client-facing discussions related to data requirements, data quality, historical data availability, and implementation tradeoffs, communicating complex topics clearly and confidently.
• Promote standardization and re-usability of data conversion frameworks, tools, templates, and processes across implementations to improve efficiency and reduce cost.
• Ensure all data handling practices comply with applicable regulatory, contractual, and security requirements associated with government healthcare programs.

Supervisory Responsibilities        

No supervisory responsibiliti