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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.

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Analytics Project Manager (Full-time, Remote), Integrity Management Services, Inc.

Are you ready to take your career to the next level with Integrity Management Services, Inc. as a Data Analytics Project Manager? This full-time, remote opportunity invites you to be at the forefront of managing complex projects and ensuring that our government and commercial clients meet the highest standards in compliance and program integrity. At IntegrityM, we believe in a culture that values collaboration, recognition, and community support, giving you the unique work environment that combines large company perks with a small company feel. In this pivotal role, you will be managing relationships with healthcare partners and overseeing all phases of the study management lifecycle, including selection, design, execution, and outcomes measurement. Your expertise will guide a talented team of data scientists, promoting their professional development while ensuring workload management. With at least five years of data analysis experience in program integrity, particularly in healthcare claims, you will utilize your knowledge of database management to succeed. If you have the passion for analytics and the leadership skills to rally teams, along with certifications in project management and healthcare data analysis, we want to hear from you! Join us in delivering innovative solutions and making a real impact, all while enjoying a flexible work schedule from wherever you are. Let’s create exceptional outcomes together!

Frequently Asked Questions (FAQs) for Data Analytics Project Manager (Full-time, Remote) Role at Integrity Management Services, Inc.
What are the key responsibilities of a Data Analytics Project Manager at Integrity Management Services?

As a Data Analytics Project Manager at Integrity Management Services, your primary responsibilities will include managing the complete study lifecycle from selection to outcomes measurement, ensuring all contract requirements are met. You'll be the main point of contact for external partners, fostering relationships that enhance collaborative efforts. Additionally, you will lead a team of data scientists, facilitating their workload management and professional development while employing your expertise in healthcare data analysis.

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What qualifications are required for the Data Analytics Project Manager position at Integrity Management Services?

To qualify for the Data Analytics Project Manager role at Integrity Management Services, you must hold a bachelor's degree in a relevant field such as Information Systems or Computer Science and have a minimum of five years of experience in program integrity data analysis. Additionally, supervisory experience in data management, familiarity with healthcare claims, and proficiency in database management systems are essential. Certifications in project management and healthcare analytics are preferred.

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How does Integrity Management Services support employee growth for Data Analytics Project Managers?

Integrity Management Services fosters a culture of professional development for Data Analytics Project Managers by promoting continuous learning and career advancement opportunities. You’ll have access to technical guidance from leadership and can engage in training programs focused on project management, data analytics, and other relevant skills, ensuring you stay ahead in this rapidly evolving field.

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What types of tools and technologies will the Data Analytics Project Manager use at Integrity Management Services?

In your role as a Data Analytics Project Manager at Integrity Management Services, you will use various tools and technologies, including Python for data analysis, SQL for database management, and analytics platforms for reporting. Familiarity with workload planning tools like the Atlassian suite and cloud environments such as AWS will also be advantageous for effectively managing project workflows.

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What are the preferred certifications for a Data Analytics Project Manager at Integrity Management Services?

The preferred certifications for a Data Analytics Project Manager position at Integrity Management Services include Project Management Professional (PMP), Certified Scrum Master (CSM), or Agile Certified Practitioner (PMI-ACP), as well as a Certified Health Data Analyst (CHDA). Other applicable certifications such as Certified Professional in Healthcare Quality (CPHQ) or Certified Coding Specialist (CCS) are also valued.

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Common Interview Questions for Data Analytics Project Manager (Full-time, Remote)
Can you describe your experience in managing a study lifecycle?

To effectively answer this question, consider outlining the steps you've taken in past projects, such as study selection, design, execution, and analysis. Highlight any specific methodologies or tools you've employed to manage these phases and how you ensured they met contract requirements and established standards.

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How do you ensure effective collaboration among cross-functional teams?

Demonstrate your collaborative approach by providing examples of how you’ve facilitated team communication and shared objectives among different functions. Share strategies you’ve used to foster trust, encourage open dialogue, and manage conflicts that may arise in a project environment.

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What are your methods for managing vendor relationships?

When answering this question, emphasize your ability to build trust and maintain strong communication with vendors. Describe how you’ve previously monitored performance and resolved issues. Discuss your approach to ensuring that all stakeholders are aligned on project goals and deliverables.

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What analytical tools and software are you proficient in?

List the specific analytical tools you’re familiar with, such as SQL for database management or Python for data analysis. Offer examples of how you've used these tools in past roles to derive insights and make data-driven decisions that positively impacted project outcomes.

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How do you handle pressure and tight deadlines in project management?

Illustrate your ability to handle pressure by discussing time management strategies and tools you utilize for tracking progress. Share specific instances when you successfully met deadlines and any techniques you employed to prioritize tasks and manage team workloads effectively.

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What is your approach to data-driven decision-making?

Explain how you gather and analyze data to inform decisions. Highlight the importance of metrics and analytics in guiding your choices and provide examples of how data-driven insights have led to successful project outcomes in your previous roles.

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Describe a time you had to present complex data to a non-technical audience.

Share a specific scenario where you simplified complex data for stakeholders. Discuss the methods you used to create engaging visuals and clear narratives that enabled your audience to understand key insights and implications, showcasing your public speaking and presentation skills.

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What certifications do you possess and how have they helped in your role?

Outline the certifications you hold, such as PMP, CHDA, or others relevant to the Data Analytics Project Manager role. Explain how these certifications have provided you with essential knowledge and skills to excel in project management, analytics, and healthcare compliance.

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Can you discuss a challenging project and how you overcame obstacles?

Choose a specific project where you faced significant hurdles. Discuss the challenges in detail and share how you approached problem-solving, the strategies you implemented, and the positive results that ensued from your efforts.

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How do you stay current with industry trends in data analytics and healthcare?

Mention your proactive approach to staying informed, such as attending industry webinars, subscribing to professional publications, participating in relevant workshops, or joining professional organizations, demonstrating your commitment to ongoing education and improvement in your field.

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Full-time, remote
DATE POSTED
January 5, 2025

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