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Executive Predictive Analytics Jobs in Washington

Ardent

Senior Cybersecurity Program Manager

Washington, DC

$131K - $131K/yr

Familiarity with predictive analytics, forensic analysis, ETL processes, and cybersecurity monitoring tools. * Experience developing executive-level briefings, reports, and operational dashboards.

BAE Systems

AI & DG Dir3

Falls Church, VA · On-site

$200K - $340K/yr

Strong leadership and executive presence, capable of engaging and influencing senior stakeholders. * Deep expertise in data analytics, predictive analytics, AI technologies, data governance, and ...

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Executive Predictive Analytics information

What are the key skills and qualifications needed to thrive as an executive in predictive analytics, and why are they important?

To thrive as an Executive in Predictive Analytics, you need advanced expertise in statistical analysis, data modeling, and business strategy, usually supported by a degree in data science, statistics, or a related field. Familiarity with analytics platforms such as SAS, R, Python, and big data tools, as well as certifications like Certified Analytics Professional (CAP), is highly beneficial. Exceptional leadership, communication, and strategic decision-making abilities set standout executives apart in this field. These skills enable leaders to drive data-informed organizational growth, align analytics initiatives with business objectives, and foster innovation across teams.

How does an executive predictive analytics professional typically collaborate with other departments to drive business outcomes?

An Executive Predictive Analytics professional often works closely with teams across marketing, finance, operations, and IT to align advanced analytics initiatives with broader business goals. They translate complex data insights into actionable strategies, facilitating data-driven decision-making at the executive level. Regular cross-functional meetings and workshops are common to ensure that predictive models are integrated into business processes and that stakeholders understand their impact. Collaboration is key, as these executives must communicate technical findings in an accessible way to influence strategic planning and organizational change.

What is an executive predictive analytics?

Executive Predictive Analytics refers to the use of advanced data analysis techniques and machine learning models by organizational leaders to forecast future business outcomes and inform strategic decisions. Executives use predictive analytics to anticipate market trends, identify risks and opportunities, and optimize resource allocation. This role requires a combination of business acumen, data science knowledge, and the ability to translate complex data into actionable insights for high-level decision-making.

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

AspectExecutive Predictive AnalyticsData Scientist
Required CredentialsOften requires advanced degrees in business, analytics, or related fields; certifications in analytics toolsTypically requires degrees in computer science, statistics, or mathematics; certifications in programming and data analysis
Work EnvironmentStrategic, executive-level settings; focuses on business impact and decision-makingTechnical environment; involves data modeling, coding, and statistical analysis
Employer & Industry UsageUsed in corporate strategy, finance, marketing, and operations departmentsEmployed across tech, finance, healthcare, and research organizations

While both roles involve data analysis and predictive modeling, Executive Predictive Analytics focuses on strategic insights for leadership decision-making, whereas Data Scientists handle technical data modeling and algorithm development. The roles often overlap but differ mainly in scope and target audience.

What are the most commonly searched types of Predictive Analytics jobs in Washington? The most popular types of Predictive Analytics jobs in Washington are:
What cities in Washington are hiring for Executive Predictive Analytics jobs? Cities in Washington with the most Executive Predictive Analytics job openings:
Executive Predictive Analytics jobs near you

Principal - Fraud Analytics Technical Lead (Consulting Manager)

Guidehouse

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago

Guidehouse rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

42nd 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 Principal Fraud Analytics Technical Lead will lead day-to-day execution of fraud analytics workstreams, coordinate delivery of analytical products, and provide technical guidance supporting fraud monitoring, investigations, reporting, and platform operations. This position will use broad judgment to select methods and techniques, analyze complex situations and data, prepare briefings and recommendations, and provide task-level technical guidance to improve fraud detection, analytics workflows, and operational outcomes.
  • Lead execution of assigned fraud analytics workstreams, continuous enhancements, application onboarding activities, platform support efforts, and stakeholder coordination activities.

  • Analyze complex situations and data using professional concepts, methodologies, and broad judgment to identify fraudulent activity, anomalous behavior, emerging risks, and improvement opportunities.

  • Identify alternative applications for existing tools, techniques, technologies, data models, and analytics workflows to improve results and influence operational outcomes.

  • Provide day-to-day technical leadership and work coordination to support timely completion of analytics, reporting, data integration, and investigative activities.

  • Implement, test, validate, and maintain fraud indicators, detection logic, analytical algorithms, predictive models, and statistical analysis approaches.

  • Support data ingestion, schema alignment, data quality review, extract, transform, load activities, and analytics workflow improvements.

  • Collaborate with technical teams, analysts, engineers, and stakeholders to clarify requirements, evaluate options, and support delivery of fraud analytics capabilities.

  • Prepare and present technical briefings, reports, executive summaries, dashboards, and recommendations based on analytical findings and operational needs.

  • Support investigative and forensic analysis of transactional, behavioral, and system activity data to identify trends, root causes, and potential attack vectors.

  • Track workstream progress, coordinate task assignments, and support delivery of recurring reports, analytical findings, and stakeholder briefings.

  • 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 STEM related field.

  • SEVEN (7) or more years of professional experience supporting fraud analytics, cybersecurity analytics, data science, data engineering, predictive analytics, incident response, investigations, platform advisory, or related technical delivery.

  • Experience leading tasks or program segments in data analytics, cybersecurity, fraud analytics, systems integration, or platform advisory environments.

  • Experience analyzing complex situations and data using professional concepts, methodologies, broad judgment, and independent problem solving.

  • Experience preparing and presenting technical reports, briefings, dashboards, recommendations, or executive-ready analytical products.

  • Experience providing technical direction, mentorship, or task-level leadership to team members completing analytics, data integration, documentation, or investigative tasks.

  • Experience leading day-to-day technical execution of analytical projects, investigations, or delivery teams.

  • 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 with web development languages and frameworks such as HTML, Python/Flask, JavaScript, CSS, jQuery, or React in support of platform advisory, analytics ecosystem, data/application integration, dashboard, or application-facing analytics work.

  • 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 in a federal or large enterprise environment.

  • Experience supporting online application monitoring, identity verification, digital identity, credential service provider integrations, or large-scale transaction monitoring environments.

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

  • Experience with SIEM platforms, including Splunk, cybersecurity monitoring technologies, or large-scale log analysis.

  • Experience supporting incident response, investigations, open-source research, threat intelligence, or stakeholder coordination.

  • Experience supporting data ingestion, schema alignment, data source onboarding, data architecture, or analytics workflow integration.

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

  • Familiarity with Agile delivery methodologies, collaborative development environments, and federal consulting 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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