Data Manager

ICF

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profile Job Location:

Baltimore, MD - USA

profile Monthly Salary: $ 98124 - 166810
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Please note: This role is contingent upon a contract award. While it is not an immediate opening we are actively conducting interviews and extending offers in anticipation of the award.

ICF is currently seeking a Data Manager to lead and oversee program integrity data analysis activities in support of a federal health agency. The Data Manager will be responsible for managing data analysis operations supervising data analysts for the purposes of fraud detection prevention and investigation. This role requires a deep understanding of healthcare data systems Medicare and Medicaid claims and the governments healthcare fraud waste and abuse workflow.

Job Location- Primarily remote within the U.S. with occasional travel (up to 25%) to Baltimore MD and Midwest-based conferences.

Key Responsibilities:

  • Lead and manage data analysis activities related to program integrity for Medicare and Medicaid.

  • Supervise a team of data analysts and ensure high-quality data analysis and management practices.

  • Utilize various database management systems to input extract and manipulate healthcare data.

  • Conduct analysis of health care claims data to detect fraud waste and abuse and in support of ongoing healthcare fraud investigations by internal staff and law enforcement.

  • Collaborate with stakeholders to support investigations and identify fraud waste and abuse.

  • Develop and maintain data dictionaries and documentation for data analysis processes.

  • Ensure compliance with CMS data security and privacy requirements.

Basic Qualifications:

  • Bachelors degree in Information Systems Computer Science Statistics Mathematics Information Technology Computer Engineering or a related field.

  • Minimum of 10 years of experience in program integrity data analysis.

  • At least 3 years of supervisory experience in data management and analysis.

  • Eligible to complete the HHS background verification process at the Public Trust clearance level.

  • US Citizenship is

Preferred Skills/Experience:

  • Advanced degree in a related field.

  • Demonstrated knowledge of healthcare claims data including Medicare and Medicaid.

  • Experience with healthcare coding and data systems.

  • Experience with CMS Integrated Data Repository (IDR) Unified Case Management (UCM) and other government healthcare data systems such as T-MSIS.

  • Experience with the CMS fraud workflow and processes for healthcare fraud investigations such as contractors for the Center for Program Integrity (CPI)

  • Familiarity with predictive modeling and data mining techniques.

  • Proficiency in MS Office Applications and data analysis tools.

Professional Skills:

  • Strong analytical and problem-solving skills.

  • Excellent communication and leadership abilities.

  • Proven ability to manage complex data analysis projects.

  • Strong organizational and time management skills.

  • Ability to work collaboratively with internal teams and external partners.

  • Commitment to data integrity and confidentiality.

Working at ICF

ICF is a global advisory and technology services provider but were not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges navigate change and shape the future.

We can only solve the worlds toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available including but not limited to for disabled veterans individuals with disabilities and individuals withsincerely heldreligious beliefs in all phases of the application and employment process. To requestan accommodationplease emailand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentto provide needed reasonable accommodations.

Candidate AI Usage Policy

At ICF we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed candidates are instructed to contact us in advance at. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position including but not limited to relevant work experience skills certifications and competencies that align to the specified role geographic location education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$98124.00 - $166810.00

Maryland Remote Office (MD99)

Required Experience:

Manager

Please note: This role is contingent upon a contract award. While it is not an immediate opening we are actively conducting interviews and extending offers in anticipation of the award.ICF is currently seeking a Data Manager to lead and oversee program integrity data analysis activities in support o...
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Key Skills

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About Company

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About ICF: The Integral Coach Factory is one of the earliest production units of independent India. It was inaugurated by the first Prime Minister of India Pt. Jawaharlal Nehru on 2nd October, 1955. Later the Furnishing Division was inaugurated on 2nd October, 1962 and the production ... View more

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