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Manager Predictive Analytics Jobs in Washington, DC

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

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

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 ...

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 ...

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 ...

... analytics adoption.Develop autonomous decision-making and automation tools for fleet management, maintenance scheduling, procurement, and resource allocation.Develop predictive capabilities for ...

New

... analytics adoption. * Develop autonomous decision-making and automation tools for fleet management, maintenance scheduling, procurement, and resource allocation. * Develop predictive capabilities for ...

New

Sr. Manager Data Analytics

Leesburg, VA ยท On-site

$150K - $170K/yr

... predictive analytics, and decision-support tools. * Advance adoption of modern analytics ... management. * Hands-on leadership style with the ability to operate at both strategic (roadmap ...

Showing results 21-40

Manager Predictive Analytics information

See Washington, DC salary details

$73.1K

$141.9K

$202.7K

How much do manager predictive analytics jobs pay per year?

As of Aug 17, 2026, the average yearly pay for manager predictive analytics in Washington, DC is $141,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $168,800.00 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 Washington, DC?

The most popular types of Predictive Analytics jobs in Washington, DC are:

What are popular job titles related to Manager Predictive Analytics jobs in Washington, DC?

For Manager Predictive Analytics jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Manager Predictive Analytics jobs in Washington, DC look for?

The top searched job categories for Manager Predictive Analytics jobs in Washington, DC are:

Infographic showing various Manager Predictive Analytics job openings in Washington, DC as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $141,944 per year, or $68.2 per hour.

Director of Enrollment Analytics and CRM

The Chronicle Of Higher Education, Inc.

Washington, DC โ€ข On-site

$123.98 - $150/hr

Other

Posted 11 days ago


Job description

American University

American University is a student-centered research institutionlocated in Washington, DC, with highly-ranked schools and colleges,internationally-renowned faculty, and a reputation for creatingmeaningful change in the world. Learn more about American University.

Department

Enrollment Data Analytics

Time Type

Full time

Job Type

Regular

FLSA Status

Exempt

Work Modality

Hybrid 01 (On Campus 3-4 Days/Week)

Job Description Summary

The Director of Enrollment Analytics and CRM serves as thefunctional lead for Salesforce CRM operations, undergraduateenrollment analytics, predictive modeling, and operationalreporting. The role is responsible for ensuring that enrollmenttechnologies, admissions workflows, and analytical toolseffectively support student recruitment, application management,and enrollment goals. Reporting to the Assistant Vice President of Enrollment Analyticsand Operations, the position is responsible for expanding theOffice of Undergraduate Enrollmentโ€™s analytical capacity throughsophisticated predictive modeling, pipeline analysis, scenarioplanning, and dashboard development. The role combines hands-onSalesforce administration, Workday Integration with advancedstatistical analysis to improve recruitment outcomes, strengthenforecasting accuracy, support class shaping decisions, and enhancethe efficiency and integrity of undergraduate enrollmentoperations. This position plays a central role in advancing predictive andprescriptive enrollment strategy by leading the development ofenrollment models, funnel analyses, yield forecasts, meltprojections, and scenario-based planning tools that informrecruitment planning, financial aid strategy, communicationsstrategy, territory management, and leadership decision-making. Therole also ensures that Salesforce CRM and Workday ERP areconfigured and maintained to support strong data quality, workflowautomation, user adoption, and scalable enrollmentoperations. This position provides leadership in evaluating and implementingCRM enhancements, streamlining business processes, resolvingoperational system issues, and supporting the integrity andeffectiveness of admissions technologies and enrollment datasystems. The position works collaboratively with the offices ofUndergraduate Admissions, Financial Aid, Information Technology,Institutional Research, Graduate Admissions, and externaltechnology partners to support systems integration, prospectstrategy, enrollment forecasting, and data-informed planning.

Essential Functions 1.) Enrollment Modeling, Predictive Analytics, and Forecasting Leadership
  • In close collaboration with the AVP for Enrollment Analyticsand Operations the Director of Enrollment Analytics and CRM willlead the design, development, validation, and refinement ofenrollment models, predictive analytics, and forecasting tools thatsupport undergraduate recruitment strategy and class planning forfirst-year and transfer populations.
  • Analyzes prospect, inquiry, applicant, admit, deposit,financial aid, and enrollment data to identify patterns in studentbehavior, project enrollment outcomes, and improve strategicdecision-making across the recruitment funnel.
  • Develops statistical models and scenario analysis related toinquiry generation, application growth, conversion, class shaping,pricing strategy, yield, melt, and final enrollment outcomes.
  • Produces market-responsive forecasts, year-over-year trendanalyses, territory and segment performance analyses, andclass-shaping models to support recruitment planning and executivedecision-making.
  • Builds analytical frameworks that assess the impact of studentsearch strategy, outreach cadence, communications performance,campus engagement, and financial aid on pipeline movement andenrollment results.
  • Translates complex quantitative findings into actionablerecommendations, clear visualizations, and executive-readydecision-support materials for Enrollment leadership.
  • Monitors model performance, evaluates forecast accuracy, andrefines methodologies to improve predictive reliability andstrategic usefulness over time.
  • Ensures the integrity, consistency, and usability of data usedfor predictive modeling, forecasting, and enrollmentplanning.
2.) Salesforce CRM Administration and Enrollment Systems Leadership
  • Serves as the primary point of contact, subject matter expert,and functional administrator for Salesforce CRM and relatedundergraduate enrollment technology platforms.
  • Leads the administration, configuration, maintenance,enhancement, and optimization of Salesforce CRM to supportfirst-year and transfer recruitment, admissions processing,communications workflows, and enrollment operations.
  • Designs, documents, and maintains CRM business processes,workflow automations, user roles, permissions, validation rules,and operational procedures to improve efficiency, consistency, andcompliance.
  • Partners with Information Technology and external vendors tosupport Workday Student integrations, troubleshoot issues, resolvedata exchange problems, and ensure reliable interoperabilitybetween enrollment systems.
  • Coordinates system testing, quality assurance, releasereadiness, and implementation of CRM enhancements and relatedtechnology improvements.
  • Monitors system performance, data quality, workflow execution,and user needs to identify opportunities for continuous improvementand operational streamlining.
  • Develops training materials and delivers training foradmissions and enrollment staff on Salesforce functionality,reporting tools, and operational best practices.
  • Supports data governance, process documentation, and changemanagement activities related to CRM administration and enrollmentsystems operations.
3.) Reporting, Dashboards, and Strategic Decision Support
  • Designs, develops, and maintains standard and ad hoc reports,dashboards, scorecards, and data visualizations for the Office ofUndergraduate Enrollment and campus stakeholders.
  • Creates reporting solutions that support operationalmanagement, executive oversight, and strategic planning acrossprospect development, application processing, admissions, financialaid coordination, and enrollment performance.
  • Produces recurring and ad hoc analyses related to funnelhealth, conversion trends, recruitment outcomes, territoryperformance, and enrollment projections.
  • Responds to internal and external requests for admissions andenrollment data, providing interpretation and context for technicaland non-technical audiences.
  • Supports workflow improvement and operational effectivenessthrough process analysis, documentation, reporting enhancements,and improvements to data access and reporting practices.
4.) Cross-Functional Collaboration, Compliance, and Strategic Support
  • Serves as a liaison to Information Technology, InstitutionalResearch, Financial Aid, Graduate Admissions, and externaltechnology partners to support system functionality, integrations,reporting alignment, and data exchange processes.
  • Participates in strategic enrollment management initiatives,Salesforce enhancement planning, systems implementation efforts,and technology modernization projects supporting undergraduateenrollment goals.
  • Ensures compliance with institutional policies, data governancestandards, privacy expectations, and applicable regulations relatedto student data, system access, and information security.
  • Contributes technical and analytical expertise tocross-functional planning discussions related to recruitmentstrategy, operational design, and enrollment performanceimprovement.
Supervisory Responsibility
  • Yes, reporting directly to this position is a DataAnalyst.
Competencies
  • Prioritizing and Organizing.
  • Developing Plans.
  • Making Accurate Judgments and Decisions.
  • Evaluating and Implementing Ideas.
  • Acting Strategically.
  • Collaborative Leadership.
Position Type/Expected Hours of Work
  • Full-time.
  • 35 hours per week.
Salary Range
  • $123,984.00 - $150,000.00 annually.
Required Education and Experience
  • Bachelorโ€™s degree required in information systems, dataanalytics, computer science, statistics, mathematics, economics,business analytics, higher education administration, or a relatedfield.
  • 5 - 8 years of relevant experience.
  • Minimum of three years of progressively responsible experiencein enrollment analytics, predictive modeling, CRM administration,enrollment systems, institutional analysis, or enrollmentmanagement operations.
  • Demonstrated experience developing enrollment forecasts,predictive models, scenario analyses, dashboards, and analyticalreports to support strategic decision-making.
  • Demonstrated experience administering Salesforce CRM or acomparable enterprise CRM platform, including configuration,workflow support, user management, and troubleshooting.
  • Strong technical proficiency with CRM platforms, SQL, reportingand dashboard tools, data visualization platforms, spreadsheets,and statistical or analytical software applications.
  • Strong analytical, organizational, project management, andproblem-solving skills, with the ability to manage multiplepriorities and deadlines in a complex operationalenvironment.
  • Ability to communicate technical concepts, analytical findings,and system requirements effectively to both technical andnon-technical audiences.
Preferred Education and Experience
  • Masterโ€™s degree in analytics, statistics, information systems,higher education, business analytics, economics, or a relatedfield.
  • 8 - 10 years of relevant experience.
  • Salesforce Administrator certification or comparable CRMplatform certification.
  • Experience in undergraduate admissions, enrollment management,financial aid analysis, or higher education CRMadministration.
  • Experience with Workday Student integrations, higher educationadmissions technologies, and data governance practices.
  • Experience using statistical methods and tools for predictivemodeling, segmentation, scenario planning, funnel analysis, andenrollment forecasting.
  • Familiarity with business process improvement, workflowautomation, and change management practices in complexorganizations.
Other Duties
  • Please note this job description is not designed to cover orcontain a comprehensive listing of activities, duties orresponsibilities that are required of the employee for this job.Duties, responsibilities and activities may change at any time withor without notice.
Benefits

AU offers a competitive benefits package.

Other Details
  • Hiring offers for this position are contingent on successfulcompletion of a background check.
  • Employees in staff positions at American University mustdeliver their services to the university from either the Districtof Columbia, Maryland, or Virginia, or perform work on-site at theuniversity.
  • Please note this job announcement is not designed to cover orcontain a comprehensive listing of activities, duties orresponsibilities that are required of the employee for this job.Duties, responsibilities, and activities may change at any timewith or without notice.
  • American University is an E-Verify employer.
Current American University Employees

American University current employees must apply through theiremployee Workday account. If you are a current employee at AmericanUniversity, please log into Workday and select the Find Jobs reportwhich will take you to our internal career listings.

Contact Us

For more information or assistance with the American Universitycareers site, email theworkline@american.edu.

American University is an equal opportunity, affirmative actioninstitution that operates in compliance with applicable laws andregulations. The university does not discriminate on the basis ofrace, color, national origin, religion, sex (including pregnancy),age, sexual orientation, disability, marital status, personalappearance, gender identity and expression, familyresponsibilities, political affiliation, source of income, veteranstatus, an individualโ€™s genetic information or any other basesunder federal or local laws (collectively "Protected Bases") in itsprograms and activities.

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