Fraud AI / Data Managing Consultant (remote)
US - VA, McLean
- Pay
$130,000–216,000/year — pay source
Federal or State Medicaid experience (directly as an employee or in a consulting role), particularly experience with fraud prevention and detection and/or program integrity experience with Medicaid The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDesign and implement scalable AI and data solutions from requirements to deployment
Develop, test, and tune fraud prevention and detection rules in a variety of programming languages
Develop and optimize machine learning models and analytics workflows
From the employer’s posting
Key Responsibilities Design and implement scalable AI and data solutions from requirements to deployment Develop, test, and tune fraud prevention and detection rules in a variety of programming languages
Design and implement scalable AI and data solutions from requirements to deployment Develop, test, and tune fraud prevention and detection rules in a variety of programming languages Develop and optimize machine learning models and analytics workflows
Develop, test, and tune fraud prevention and detection rules in a variety of programming languages Develop and optimize machine learning models and analytics workflows Lead data analytics efforts in detecting fraud, waste, abuse, and improper payments and identifying key areas to target for program/payment integrity improvements
What you’ll bring
All qualificationsCore experience
- Experience in Python/R, SQL, and data modeling
- Experience with statistical and data analytics
- Experience working with various data structure formats (CSV/TXT, JSON, XML, Parquet, etc.)
- Experience developing, testing, and validating machine learning and other AI models at scale
- Experience with data visualization tools (PowerBI, Tableau, Looker, etc.)
- Experience with applying data analytics and artificial intelligence in the financial crime compliance and/or fraud, waste, and abuse prevention space
Preferred experience
- Experience leading small teams of junior resources
- Proven ability to communicate complex concepts to non‑technical audiences
- Experience owning deliverable workstreams
- Experience building fraud and/or fincrime monitoring rules in one or more programming languages
Qualification wording
Experience in Python/R, SQL, and data modeling
Experience with statistical and data analytics
Experience working with various data structure formats (CSV/TXT, JSON, XML, Parquet, etc.)
Experience developing, testing, and validating machine learning and other AI models at scale
Experience with data visualization tools (PowerBI, Tableau, Looker, etc.)
Experience with applying data analytics and artificial intelligence in the financial crime compliance and/or fraud, waste, and abuse prevention space
Experience leading small teams of junior resources
Proven ability to communicate complex concepts to non‑technical audiences
Experience owning deliverable workstreams
Experience building fraud and/or fincrime monitoring rules in one or more programming languages
Tools in this posting
- SQL
- AWS
- Azure
- Databricks
- Google Cloud (GCP)
- Looker
- Power BI
- Tableau
- R
- Python
- SageMaker
Source — Tool mentions in context
- FOUR (4) or more years of experience in a fraud/payment integrity-related role - Experience in Python/R, SQL, and data modeling - Experience with statistical and data analytics
- Experience working for or supporting healthcare technology, healthcare business or healthcare process initiatives - Cloud experience (AWS, Azure, GCP) including data and ML services - Experience deploying models into production (MLOps)
- Experience deploying models into production (MLOps) - Experience with AI platforms (Databricks, Palantir, Vertex AI, SageMaker) - Prior consulting or client‑facing delivery experience
- Experience developing, testing, and validating machine learning and other AI models at scale - Experience with data visualization tools (PowerBI, Tableau, Looker, etc.) - Experience with applying data analytics and artificial intelligence in the financial crime compliance and/or fraud, waste, and abuse prevention space
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
In the employer’s words · Read in context
Job description
Job Family:
Technology Consulting
Travel Required:
Clearance Required:
What You Will Do
The AI/Data Managing Consultant leads discrete workstreams and delivers advanced AI and data solutions. This role combines technical depth, client engagement, and mentorship of junior team members while driving real‑world AI adoption.
Key Responsibilities
- Design and implement scalable AI and data solutions from requirements to deployment
- Develop, test, and tune fraud prevention and detection rules in a variety of programming languages
- Develop and optimize machine learning models and analytics workflows
- Lead data analytics efforts in detecting fraud, waste, abuse, and improper payments and identifying key areas to target for program/payment integrity improvements
- Partner with clients to identify AI use cases and translate business needs into solutions
- Own client deliverables and contribute to executive‑level presentations
- Mentor junior consultants and senior consultants, and review their technical work
- Ensure solutions align with governance, security, and responsible AI standards (as applicable)
What You Will Need:
- Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred
- Bachelor’s degree
- EIGHT (8) or more years of experience in AI, data science, analytics, or engineering
- FOUR (4) or more years of experience in a fraud/payment integrity-related role
- Experience in Python/R, SQL, and data modeling
- Experience with statistical and data analytics
- Experience working with various data structure formats (CSV/TXT, JSON, XML, Parquet, etc.)
- Experience developing, testing, and validating machine learning and other AI models at scale
- Experience with data visualization tools (PowerBI, Tableau, Looker, etc.)
- Experience with applying data analytics and artificial intelligence in the financial crime compliance and/or fraud, waste, and abuse prevention space
- Travel will be 25-50% for candidates not located in the DMV or NYC area
What Would Be Nice to Have:
- Experience leading small teams of junior resources
- Proven ability to communicate complex concepts to non‑technical audiences
- Experience owning deliverable workstreams
- Experience building fraud and/or fincrime monitoring rules in one or more programming languages
- Experience working for or supporting healthcare technology, healthcare business or healthcare process initiatives
- Cloud experience (AWS, Azure, GCP) including data and ML services
- Experience deploying models into production (MLOps)
- Experience with AI platforms (Databricks, Palantir, Vertex AI, SageMaker)
- Prior consulting or client‑facing delivery experience
- Federal or State Medicaid experience (directly as an employee or in a consulting role), particularly experience with fraud prevention and detection and/or program integrity experience with Medicaid
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on guidehouse.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Federal or State Medicaid experience (directly as an employee or in a consulting role), particularly experience with fraud prevention and detection and/or program integrity experience with Medicaid The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
- Location & working pattern
US - VA, McLean
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 18, 2026
- Recorded sightings
- 25
- Last seen by us
- Oct 7, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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