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Manager Predictive Analytics Jobs in Reston, VA (NOW HIRING)

Ardent

Senior Cybersecurity Program Manager

Washington, DC

$131K - $131K/yr

  • Medical

  • PTO

Manage multidisciplinary teams supporting fraud analytics, predictive analytics, forensic analysis ... and cybersecurity monitoring activities. * Coordinate response activities to ensure alignment with ...

Arcfield

Predictive Modeling Analyst IV

Chantilly, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Conducts logical analysis of management problems and developing multivariate analysis, linear ... Guides predictive analytics model development. Interfaces with customer and helps define work ...

CARFAX

Senior Manager - Business Analytics

Centreville, VA · On-site

$150K - $200K/yr

  • Retirement

Description Join our Winning Team as a Senior Manager - Business Analytics! Isn't it time you ... Help lead the transition from descriptive to predictive analytics. You will "bring AI to life" by ...

ProSidian Consulting

Program Manager

Alexandria, VA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Launched by Management Consultants, our multidisciplinary teams bring together the talents of ... Develop role-based dashboards, workforce models, and predictive analytics to support data-driven ...

QxBranch

Technical Proposal Manager

Washington, DC · On-site

To build Predictive Analytics solutions that endure, you must respond to changes in business concepts, market needs, and the underpinning technologies that deliver insights. QxBranch uses modern ...

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Showing results 21-40

All JobsPredictive Analytics JobsManager Predictive Analytics JobsManager Predictive Analytics Jobs in Reston, VA

Manager Predictive Analytics information

See Reston, VA salary details

$67.1K

$130.4K

$186.2K

How much do manager predictive analytics jobs pay per year?

As of Aug 20, 2026, the average yearly pay for manager predictive analytics in Reston, VA is $130,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $155,000.00 per year, depending on experience, location, and employer.

What is a manager predictive analytics?

A Manager Predictive Analytics is a professional responsible for overseeing teams and projects that use statistical techniques, machine learning, and data analysis to forecast future trends and support business decision-making. They manage the development and implementation of predictive models, ensuring data quality and actionable insights for their organization. In addition to technical expertise, they coordinate with stakeholders to align analytics initiatives with business goals and often mentor data analysts or data scientists within their team.

What are the key skills and qualifications needed to thrive as a manager predictive analytics?

To thrive as a Manager Predictive Analytics, you need a strong background in statistics, data analysis, and predictive modeling, often supported by a degree in mathematics, statistics, computer science, or a related field. Expertise with analytics tools such as Python, R, SQL, and familiarity with machine learning platforms, as well as relevant certifications like SAS or AWS Certified Machine Learning, is typically expected. Outstanding leadership, communication, and problem-solving skills help in leading teams and translating complex insights for stakeholders. These abilities ensure data-driven decision-making, effective project management, and impactful business outcomes.

What are the main challenges faced by a manager predictive analytics, and how can they be addressed?

A Manager of Predictive Analytics often encounters challenges such as ensuring data quality, bridging communication gaps between technical teams and business stakeholders, and keeping up with rapidly evolving analytical tools and techniques. Addressing these challenges requires fostering strong cross-functional collaboration, implementing robust data governance practices, and encouraging continuous learning among team members. Additionally, setting clear project objectives and maintaining alignment with business goals can help deliver actionable insights and maximize the impact of predictive analytics initiatives.

What is the difference between Manager Predictive Analytics vs Data Scientist?

AspectManager Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Analytics, Statistics, or related field; often managerial certificationsBachelor's or Master's in Data Science, Statistics, or related field; sometimes PhDs
Work EnvironmentLeads teams, manages projects, collaborates with business unitsDevelops models, analyzes data, experiments with algorithms
Employer & Industry UsageBusiness, finance, marketing, healthcare organizationsTech companies, research institutions, finance, healthcare

While both roles focus on data analysis, the Manager Predictive Analytics oversees teams and strategic projects, whereas Data Scientists primarily develop models and conduct in-depth data analysis. The manager role emphasizes leadership and project management, often requiring experience in analytics tools and business acumen, while Data Scientists focus on technical expertise in algorithms and programming.

What are the most commonly searched types of Predictive Analytics jobs in Reston, VA?

The most popular types of Predictive Analytics jobs in Reston, VA are:

What are popular job titles related to Manager Predictive Analytics jobs in Reston, VA?

For Manager Predictive Analytics jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Manager Predictive Analytics jobs in Reston, VA look for?

The top searched job categories for Manager Predictive Analytics jobs in Reston, VA are:

Manager Predictive Analytics jobs near you
Infographic showing various Manager Predictive Analytics job openings in Reston, VA as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $130,384 per year, or $62.7 per hour.

Fraud Analytics Senior Consultant Lead (Senior Consultant II)

Guidehouse

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 72 rated business consultants

Job description

Job Family:
Data Science & Analysis
Travel Required:
None
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
The Fraud Analytics Senior Consultant Lead will support highly specialized fraud analytics activities across the Cybersecurity Fraud Analytics and Monitoring program. This position will independently assess difficult technical and analytical problems, develop practical alternatives and recommendations, support strategic, tactical, and operational planning, and coordinate task-level activities focused on predictive analytics, deep forensics, fraud detection, incident support, data integration, and continuous enhancement of analytics capabilities.
  • Support highly specialized fraud analytics activities related to predictive analytics, forensic analysis, cybersecurity monitoring, fraud detection, incident support, and continuous enhancement.

  • Coordinate analytical activities across assigned workstreams, review analytical products for quality and consistency, and provide guidance to junior team members supporting fraud analytics initiatives.

  • Assess difficult technical and operational problems across fraud analytics, data ingestion, application monitoring, stakeholder coordination, and incident response environments.

  • Develop practical alternatives, recommendations, and solution options that consider client requirements, operational priorities, data limitations, and cybersecurity fraud risks.

  • Contribute to strategic, tactical, and operational-level planning for analytics initiatives, application onboarding, data source integration, and fraud detection capability expansion.

  • Support development, refinement, testing, documentation, and implementation of fraud indicators, analytical algorithms, detection logic, predictive models, and forensic analysis approaches.

  • Analyze structured and unstructured data, transaction logs, user behavior, system activity, and investigative information to identify anomalous, malicious, or fraudulent activity.

  • Support root-cause analysis, incident coordination, mitigation recommendations, and timely reporting for suspicious activity, fraud incidents, and emerging threat patterns.

  • Collaborate with application owners, identity management stakeholders, business representatives, and technical resources to understand user behavior, transaction data, data quality, and integration requirements.

  • Support data extraction, transformation, loading, schema alignment, data quality assessment, data source onboarding, and analytics workflow improvements across large-scale environments.

  • Prepare and present technical reports, executive summaries, dashboards, briefings, recommendations, and documentation that communicate findings to technical and non-technical stakeholders.

  • Provide task-level coordination, analytical guidance, and knowledge sharing to support analysts, engineers, data scientists, and operational staff assigned to fraud analytics activities.

  • Work independently on routine activities, receive general direction on new assignments, and ensure work products meet client requirements, quality expectations, and delivery timelines.

  • Work onsite at the client location in Lanham, Maryland five (5) days per week and collaborate closely with government personnel and contractor team members.

What You Will Need:
  • Ability to obtain and maintain a Public Trust clearance.

  • Bachelor's degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, or a related field; Master's degree preferred.

  • Five (5) or more years of professional experience supporting fraud analytics, cybersecurity analytics, data science, data engineering, predictive analytics, forensic analysis, investigations, fraud operations, platform advisory, or related technical delivery.

  • Experience independently solving difficult technical or analytical problems using professional concepts, procedures, and practical judgment.

  • Experience developing system requirements or supporting strategic, tactical, or operational-level planning for analytics, cybersecurity, fraud detection, or data-driven programs.

  • Experience analyzing large structured and unstructured datasets, transaction logs, application activity, user behavior, or system data to identify anomalies, patterns, correlations, risks, or potential fraudulent activity.

  • Experience supporting predictive analytics, machine learning, statistical analysis, data mining, link analysis, network analytics, text mining, data visualization, or related analytical techniques.

  • Experience supporting data extraction, transformation, loading, data integration, data quality review, schema alignment, or analytics workflow improvement activities.

  • Experience preparing and presenting technical reports, dashboards, briefings, executive summaries, documentation, or recommendations for technical and non-technical stakeholders.

  • Experience coordinating with multidisciplinary teams, client stakeholders, technical resources, and operational personnel to clarify requirements, support delivery, and communicate findings.

  • Experience using tools and technologies such as Python, R, Java, Linux shell scripting, SQL/no-SQL databases, Spark, Elasticsearch, Parquet, SIEM platforms including Splunk, Microsoft Word, Microsoft Excel, and Microsoft PowerPoint.

  • Experience supporting analytics platforms, data integration efforts, dashboard development, reporting environments, or analytical applications.
  • Ability and willingness to work onsite at the client location in Lanham, Maryland five (5) days per week.

What Would Be Nice To Have:
  • Experience supporting fraud analytics, cybersecurity analytics, data science, or incident response programs in a federal, financial services, intelligence community, or large enterprise environment.

  • Experience supporting digital identity, authentication services, online application monitoring, or large-scale transaction processing environments.

  • Experience developing, refining, testing, or validating machine learning models, predictive models, statistical models, analytical algorithms, fraud indicators, or detection logic.

  • Experience supporting incident response, open-source research, threat intelligence, root-cause analysis, mitigation planning, or stakeholder coordination.

  • Experience supporting data ingestion, schema alignment, data architecture, data quality improvement, platform advisory services, or analytics ecosystem modernization.

  • Experience developing dashboards or visualizations using Power BI, Tableau, Spotfire, Microsoft Excel, or similar tools.

  • Familiarity with cybersecurity programs, federal consulting environments, Agile delivery methodologies, or collaborative development environments.

  • Candidate currently possesses an active Internal Revenue Service (IRS) Moderate Background Investigation clearance or has held one within the last six (6) months.

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
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
  • Position may be eligible for a discretionary variable incentive bonus

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.

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