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

... chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments.

... chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments.

... chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments.

... chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments.

Predictive Workforce Analytics: Implement and maintain workforce analytics dashboards and ... Program Manager candidates work to facilitate Predictive Workforce Analytics, delivering Data ...

... chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments.

Showing results 41-60

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 Sep 11, 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:

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.

Business Analytics Manager Senior - Consumer Data Solutions & Analytics

Washington, DC • On-site

PNC Bank
Banking and Credit Intermediation • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Key responsibilities

  • Lead analytics and data management initiatives involving customer data domains such as identity, profile, contact, account relationships, consent, and preferences.

  • Define, implement, and monitor data quality rules and controls to ensure data completeness, accuracy, validity, consistency, timeliness, uniqueness, and integrity.

  • Partner with stakeholders to document data definitions, lineage, business rules, controls, and ownership, and support regulatory compliance and risk management activities.


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 348 frontline employees who took The Breakroom Quiz


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Business Analytics Manager Senior within PNC's Consumer Data Solutions & Analytics organization, you will be based in Pittsburgh, or Philadelphia, PA; Cleveland, OH; Washington, DC; or Tyson's Corner, VA.
Job Overview:
The Consumer Data Solutions & Analytics team is seeking a highly motivated and strategic Business Analytics Manager Senior to lead analytics and data management initiatives across the customer data domain. The role will focus on improving the quality, completeness, accuracy, consistency, lineage, and control of customer data used in business operations, risk management, regulatory compliance, and customer-focused decisions.
The ideal candidate brings deep experience in customer data, data quality management, data governance, and risk and compliance environments. This individual will partner with business, technology, data governance, risk, legal, and compliance stakeholders to define data requirements, identify control gaps, resolve data issues, and deliver sustainable, auditable solutions that support enterprise standards and regulatory obligations.
Key Responsibilities:
Lead complex analytics and data management initiatives involving customer identity, profile, contact, account relationship, consent, preference, and other customer-domain data.
Define, implement, and monitor data quality rules and controls for completeness, accuracy, validity, consistency, timeliness, uniqueness, and integrity.
Analyze customer data across source systems, master data platforms, and downstream applications to identify anomalies, gaps, reconciliation breaks, and systemic root causes.
Build and maintain data quality dashboards, scorecards, exception reports, and management reporting using SQL, Python, Tableau, or Power BI.
Establish measurable data quality thresholds, key performance indicators, key risk indicators, issue escalation criteria, and remediation tracking.
Partner with data owners, data stewards, technology teams, and business users to document data definitions, lineage, business rules, controls, and ownership.
Support regulatory compliance, audit, and risk management activities by producing traceable analysis, control evidence, impact assessments, and remediation reporting.
Assess customer data risks, translate regulatory and policy expectations into analytical or control requirements, and identify opportunities to strengthen preventive and detective controls.
Coordinate issue management from identification and prioritization through root-cause analysis, corrective action, validation, closure, and ongoing monitoring.
Communicate customer data risks, quality trends, control effectiveness, and remediation status to senior leaders and cross-functional stakeholders.
Drive automation and standardization of data profiling, validation, reconciliation, exception management, and reporting processes.
Mentor analysts and promote consistent practices for customer data analysis, data quality testing, documentation, and control execution.
Required Experience & Skills:
8+ years of experience in: Data Analytics, Business Analytics, Business Intelligence, and/or Data-Driven Decision Support.
Strong experience presenting complex analytical findings to business and executive stakeholders.
Demonstrated success communicating with cross-functional teams and senior leadership.
Strong analytical thinking and problem-solving abilities.
Experience supporting Risk Management, Governance, Compliance, or Regulatory-focused initiatives.
Advanced SQL expertise including: Complex Queries, Joins, Aggregations, Subqueries, Data Validation, and Performance Optimization.
Strong Python programming and coding experience including: Data Analysis, Data Manipulation, Reporting Automation, Data Quality Monitoring, and Predictive Analytics.
Experience developing dashboards and visualizations using Tableau or Power BI
Experience working within customer-focused data environments and consumer data domains.
Strong presentation, communication, and stakeholder management skills.
Ability to influence business decisions through analytics and data storytelling.
Preferred Qualifications:
Experience with Generative AI solutions, Large Language Models (LLMs), prompt engineering, or AI-powered business applications.
Banking, Consumer Finance, FinTech, or Financial Services industry experience.
Experience supporting Regulatory Reporting, Risk Analytics, Customer Analytics, Fraud Analytics, or Compliance Analytics
Knowledge of data governance frameworks and enterprise data management practices.
Experience leading analytics strategy and enterprise reporting initiatives.
Familiarity with machine learning, predictive analytics, and advanced statistical modeling.
Experience partnering with Risk, Compliance, Legal, Technology, and Product teams.PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Directs the strategic design, management, and implementation of an enterprise-wide business analytics programs to drive customer solutions, service innovation and profitability.
  • Leads development and execution of complex analytical solutions to meet business requirements .
  • Leading the research, development and adoption of new and emerging analytics technologies; identifying technology-based business opportunities.
  • Implementing mechanisms for ensuring that information provided is accurate, meaningful, has integrity, manages risk and meets the needs of the senior leadership.
  • Directing, motivating, developing and managing the performance of the management team and key staff.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

PNC also has fundamental expectations of our people managers. As a manager of talent in PNC, you will be expected to:

  • Include Intentionally - Cultivates diverse teams and inclusive workplaces to expand thinking.
  • Live the Values - Role models our values with transparency and courage.
  • Enable Change - Takes action to drive change and innovation that will transform our business.
  • Achieve Results - Takes personal ownership to deliver results. Empowers and trusts others in decision making.
  • Develop the Best - Raises the bar with every talent decision and guides the achievement of all employees and customers.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Business Intelligence (BI), Concept Development, Data-Driven Decision Making, Data Integration, Market Research, Performance Metrics, Qualitative Research, Strategic PlanningCompetenciesAnalytical Thinking, Business Analytics, Business Case Justification, Effective Communications, Emerging Technologies, Organizational Savvy and PoliticsWork ExperienceRoles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry experience is typically 8+ years. At least 5 years of prior management experience is typically required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Language AssessmentsNo Required or Preferred Language AssessmentsPay TransparencyBase Salary: $123,200.00 - $274,560.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 08/21/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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