Data Analytics Project Manager (Full-time, Remote)

About Us

Integrity Management Services, Inc. (IntegrityM) is an award-winning, women-owned small business specializing in assisting government and commercial clients in compliance and program integrity efforts, including the prevention and detection of fraud, waste and abuse in government programs. Results are achieved through data analytics, technology solutions, audit, investigation, and medical review.

At IntegrityM, we offer a culture of opportunity, recognition, collaboration, and supporting our community. We thrive off of these fundamental elements that make IntegrityM a great place to work. Our small, flexible workplace offers an exceptional quality of life and promotes corporate-driven sustainability. We deliver creative solutions that exceed goals and foster a dynamic, idea-driven environment that nurtures our employees’ professional development. Large company perks…Small company feel! 

http://www.integritym.com

In this role, the Data Analytics Project Manager will focus on ensuring contract requirements are met and involves managing relationships with healthcare partners, supervising study lifecycles, and coordinating efforts across multiple study phases.

Job Responsibilities:

Contract Support:

Collaborate with the Project Director to ensure all contract requirements are met and delivered to the highest standards.

Partner Management:

Manage relationships with external partners and stakeholders as they relate to specific studies, serving as the primary customer-facing representative for analytics.

Act as the “face” of the analytics program to the customer and stakeholders as a whole, with a strong focus on fostering collaboration and trust.

Provide support for study lifecycle partner engagement and committee meeting management.

Study Management Lifecycle Oversight:

Oversee and coordinate all phases of the study management lifecycle, including:

Study selection.

Study design and planning.

Study execution and analysis.

Study outcomes measurement.

Manage a team of data scientists, ensuring effective workload management, technical guidance, and professional development.

• Bachelor’s degree in Information Systems, Computer Science, Statistics, Mathematics, Information Technology, Computer Engineering, or a related field is required.
• Minimum of five (5) years of experience in program integrity data analysis, with demonstrated knowledge of healthcare claims (Medicare and Medicaid).
• At least two (2) years of supervisory experience in data management and analysis.
• Familiarity with various database management systems for input, extraction, and manipulation of data.
• Proven expertise in healthcare data and coding standards.

Preferred Certifications:

Project Management Certifications:

Project Management Professional (PMP)

Certified Scrum Master (CSM) or Agile Certified Practitioner (PMI-ACP)

Data and Analytics Certifications:

Certified Health Data Analyst (CHDA)

Microsoft Certified: Azure Data Scientist Associate

Healthcare Industry Certifications:

Certified Professional in Healthcare Quality (CPHQ)

Certified Coding Specialist (CCS)

Preferred Qualifications:

Proficiency in Python for analytics and data workflows.

Experience with workload planning and tracking tools such as the Atlassian suite (e.g., Confluence and Jira).

Familiarity with cloud environments (e.g., AWS SaaS/IaaS) and their integration into analytics programs.

Hands-on experience with CMS systems, such as the Integrated Data Repository (IDR).

Strong public speaking and presentation skills, with the ability to present to large audiences (both online and in-person) and develop engaging presentation materials.

Experience designing or directing AI/ML workflows to enhance analytics capabilities

Skills and Attributes:

Strong analytical and problem-solving skills.

Excellent written and verbal communication skills for partner management, reporting, and team coordination.

Ability to lead and coordinate cross-functional teams effectively.

Proficiency in tools such as SQL and data analysis platforms.

In-depth knowledge of healthcare coding systems and compliance standards.

Additional Requirements:

Must pass post hire background screening checks.