1

Manager Predictive Analytics Jobs in Washington, DC

... data management, analysis, predictive analysis, modeling, analyzing and visualization of current and future readiness data Designing and building data warehouses. Extracting, transforming, and ...

Who holds 3-5+ years of experience Customer Analytics delivery Who holds 3+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications ...

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

To build Predictive Analytics solutions that endure, you must respond to changes in business ... Developing strategic account management plans resulting in protecting, managing and growing ...

Experience in data management, analysis, predictive analysis, modeling, analyzing and visualization of current and future readiness data * Designing and building data warehouses. Extracting ...

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 ...

next page

Showing results 1-20

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 Jul 27, 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 are the key skills and qualifications needed to thrive as a Manager Predictive Analytics, and why are they important?

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 is the highest paying job in data analytics?

In data analytics, senior roles such as Director of Data Science or Chief Data Officer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, big data tools, and leadership experience. Compensation varies by industry, location, and company size.

What are the main challenges faced by a Manager of 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.

Will AI replace a data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis. However, data analysts are still essential for interpreting complex data, providing insights, and making strategic decisions that require human judgment and domain expertise. The role is evolving to include skills in AI tools and programming languages like Python or R.

What jobs use predictive analytics?

Jobs that use predictive analytics include roles such as data analysts, data scientists, business analysts, marketing analysts, financial analysts, and operations managers. These roles involve analyzing data, building models, and using tools like Python, R, or SAS to forecast trends and support decision-making across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst or progressing into roles like Manager of Predictive Analytics. Success depends on skills, experience, and continuous learning in tools such as SQL, Python, or R, regardless of age. Many professionals transition into analytics later in their careers and find opportunities based on their expertise and adaptability.

What are 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 most commonly searched types of Predictive Analytics jobs in Washington, DC? The most popular types of Predictive Analytics jobs in Washington, DC 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 June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $141,944 per year, or $68.2 per hour.
Lead Data Scientist (Predictive Analytics)

Lead Data Scientist (Predictive Analytics)

ProSidian Consulting

Alexandria, VA โ€ข Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

Company Description

ProSidian is a Management And Operations Consulting Services firm that focuses on providing value to clients through tailored solutions based on industry-leading practices. ProSidian provides enterprise services/solutions for Risk Management | Compliance | Business Process | IT Effectiveness | Engineering | Environmental | Sustainability | Human Capital. We help forward-thinking clients solve problems and improve operations. Launched by Management Consultants, our multidisciplinary teams bring together the talents of global professionals to complete a wide range of engagements for public and private, defense and civilian government, and non-profit organizations.ย  Our solution-centric services are deployed across the enterprise, target drivers of economic profit (growth, margin, and efficiency), and are aligned at the intersections of assets, processes, policies, and people delivering value. See Link To the ProSidian website at www.ProSidian.com

Job Description

ProSidian Seeks a Lead Data Scientist (Predictive Analytics) | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0115115] for Program Support on a Exempt W2: No Overtime Pay Basis located in the Mid Atlantic Region and listed under a Data Scientist Labor Category as a Engagement Team Mid Level Professional aligned under services related to NAICS: 541611 - Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services - DPLH Est.: 1920 Hrs. ST | 0 Hrs. OT on a Exempt W2: No Overtime Pay Contract Contingent Basis, generally located across the Alexandria, VA (Hybrid) Across The Mid Atlantic Region supporting a Human Capital Analytics & IT Modernization for Federal science agency HR modernization

The Lead Data Scientist (Predictive Analytics) | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0115115] is aligned with GSA Labor Category: Data Scientist.

We seek Lead Data Scientist (Predictive Analytics) | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0115115] candidates with relevant Government And Public Services Sector Experience (functional and technical area expertise also ideal) to support professional services engagement for Government And Public Services Sector Clients such as NSF. 0

JOB OVERVIEW

Provide services and support as a Lead Data Scientist (Predictive Analytics) [Business Analytics Support: HR Technology Ecosystem, And Enterprise-Wide Decision-Making Capabilities Enhancement] in the Government And Public Services Industry Sector focusing on HC | Human Capital Solutions for clients such as National Science Foundation (NSF | OCHCO / OCIO) | Office of the Chief Human Capital Officer (OCHCO) / Office of the Chief Information Officer (OCIO) Generally Located In Alexandria, VA (Hybrid) and across the Mid Atlantic Region (Of Country/World) Working Hybrid On/Off Client Site.

Deliver innovative solutions that improve operational efficiency through digital transformation and process automation; enhance data-driven decision-making using role-based advanced analytics and business intelligence; support regulatory compliance and adherence to federal human capital management policies; facilitate seamless integration of IT systems and workforce planning tools; optimize service delivery through performance-based outcomes and SLAs.

Predictive Workforce Analytics: Implement and maintain workforce analytics dashboards and predictive models using agency-standard analytics platforms (e.g., Oracle Analytics Server (OAS), Power BI, Tableau) and appropriate machine learning tools, in coordination with OCIO and existing data architecture.

RESPONSIBILITIES AND DUTIES - Lead Data Scientist (Predictive Analytics) | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0115115]

Deliver innovative solutions that improve operational efficiency through digital transformation and process automation; enhance data-driven decision-making using role-based advanced analytics and business intelligence; support regulatory compliance and adherence to federal human capital management policies; facilitate seamless integration of IT systems and workforce planning tools; optimize service delivery through performance-based outcomes and SLAs.

Predictive Workforce Analytics: Implement and maintain workforce analytics dashboards and predictive models using agency-standard analytics platforms (e.g., Oracle Analytics Server (OAS), Power BI, Tableau) and appropriate machine learning tools, in coordination with OCIO and existing data architecture.ย  Lead Data Scientist (Predictive Analytics) Candidates work to facilitate Predictive Workforce Analytics delivering Data Management & Business Intelligence - Predictive Workforce Analytics through Drive predictions | lead models | enable forecasting.ย  Further, they Develop predictive models and forecasting for workforce planning.

Lead Data Scientist (Predictive Analytics) Professionals typically cover Predictive Workforce Analytics Functional Area / Swim Lane / Category Disciplines and serve as Senior lead/architect/manager scope with enterprise influence, independent judgment, and responsibility for cross-functional delivery or strategy..ย  They Develop advanced analytic models, workforce insights, and decision-support products for Predictive Workforce Analytics; support predictive analysis, KPI design, and executive reporting using governed data and modern analytics tools.

The role(s) are located in the Mid Atlantic Region, at or near Alexandria, VA (Hybrid).ย  Initially identified Work Site Address (Working Hybrid On/Off Client Site:ย  401 Dulany Street Randolph Building Alexandria, VA 22314

Qualifications

Desired Qualifications For Lead Data Scientist (Predictive Analytics) | Data Management & Business ntelligence - Predictive Workforce Analytics [NSF0115115] (NSF0115115) Candidates:ย  8+ years data science.

Education / Experience Requirements / Qualifications

Master's preferred. ย 8+ years data science.

Skills Required

Primarily focused on Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services initiatives and aligned with Program Support activities Data Management & Business Intelligence - Predictive Workforce Analytics Functional Area Activities.ย 

ML, forecasting

Competencies Required

  • Analytical thinking

Ancillary Details Of The Roles

  • Artifacts: models
  • Standard Skills Required: Proficiency in project management methodologies and tools. | Exceptional leadership and interpersonal skills for effective team management. | Outstanding time management and prioritization abilities to meet project milestones. | Adaptability to changing project requirements and priorities | Ability to multi-task and pay close attention to detail. | Excellent analytical, organizational and time management skills | Strong communication skills, both oral and written.
  • EEO Statement: We attract the best people in the industry, supporting their efforts to learn and grow.ย  We strive to create a challenging and progressive work environment.ย  We Provide career opportunities spanning various disciplines and geographic locations, with projects that our employees plan, design, build, and operate as diverse as the needs of our clients.
  • Ful Time Regular VISA Sponsorship: NoWe will not support sponsorship, i.e., H-1B or TN Visas for this position.ย  U.S.ย  Citizenship Required You must be a United States Citizen
  • Background Check And Drug testing: ProSidian reserves the right to require background checks, including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions.ย  In addition, ProSidian may conduct drug testing for designated positions.

Other Details

Supports predictive insights

#TechnicalCrossCuttingJobs #Government And Public Services #Jugaad #Copitas #AskWhy #Zakat #PokaYoke #AskidaEmek

Additional Information

As a condition of employment, all employees must meet the requirements of their roles: establish, manage, pursue, and achieve annual goals and objectives with Documented Goals for each of the firm's Eight ProSidian Global Competencies [1 - Personal Effectiveness | 2 - Continuous Learning | 3 - Leadership | 4 - Client Service | 5 - Business Management | 6 - Business Development | 7 - Technical Expertise | 8 - Innovation & Knowledge Sharing (Thought Leadership)]; and support all business development and other efforts on behalf of ProSidian.

Eight ProSidian Global Competencies

  1. Personal Effectiveness - The ability to manage tasks, time, and relationships efficiently, achieving consistent, impactful results.
  2. Continuous Learning - Ongoing pursuit of knowledge, skills, and adaptability to remain relevant, competent, and professionally competitive.
  3. Leadership - Inspiring, guiding, and motivating others toward shared goals, fostering accountability, collaboration, and strategic organizational success.
  4. Client Service - Delivering responsive, high-quality solutions that address client needs, build trust, and strengthen long-term partnerships.
  5. Business Management - Coordinating people, processes, and resources to achieve strategic objectives, operational efficiency, and sustainable organizational performance.
  6. Business Development - Identifying, pursuing, and securing growth opportunities through strategic relationships, market insight, and innovative solutions.
  7. Technical Expertise - Applying specialized knowledge, analytical skills, and practical experience to solve complex problems with accuracy.
  8. Innovation & Knowledge Sharing (Thought Leadership) - Generating creative solutions, sharing insights, and influencing industry direction through expertise, collaboration, and continuous improvement.

------------ --------------- ------------

OTHER REQUIREMENTS

  • Business Tools - understanding and proficiency with business tools and technology, including Microsoft Office.ย  The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint, and Word, proficient with Adobe Acrobat, data analytic tools, and Visio, and the ability to quickly learn other tools, as necessary.
    • Commitment - to work with intelligent, interesting people with diverse backgrounds to solve the most significant challenges across private, public, and social sectors.
  • Curiosity - the ideal candidate exhibits an inquisitive nature and the ability to question the status quo among a community of people they enjoy and teams that work well together.
  • Humility - exhibits grace in success and failure while doing meaningful work where skills have an impact and make a difference.
  • Willingness - to constantly learn, share, and grow and to view the world as their classroom.

------------ --------------- ------------

BENEFITS AND HIGHLIGHTS

ProSidian Employee Benefits and Highlights - Your health and well-being are crucial to ProSidian.ย  At ProSidian, we invest in our employees to help them maintain their health and achieve work-life balance.ย  We are pleased to offer the Employee Benefits Program, designed to promote your health and personal well-being.ย  Our growing list of benefits currently includes the following for Full-Time Employees:

  • Competitive Compensation: The pay range is competitive and includes group health benefits, pre-tax employee benefits, and performance incentives.ย  The company contributes a fixed dollar amount each month toward the plan chosen for medical and dental benefits, with contributions deducted on a pre-tax basis.
  • Group Medical / Dental / Vision Health Insurance Benefits: ProSidian partners with network providers to offer eligible employees a variety of medical and dental plans, including high-deductible health plans and PPOs.ย  ProSidian also provides plans for both high and low vision..
  • 401(k) Retirement Savings Plan: The 401(k) Retirement Savings Plans allow eligible employees to save for retirement.ย  A variety of investment options are available, along with support from a personal financial planner.ย  The plan operates as a pre-tax Safe Harbor 401(k) Retirement Savings Plan that includes a company match.
  • Vacation and Paid Time-Off (PTO) Benefits: Eligible employees can use PTO for vacations, doctor's appointments, or personal events.ย  These benefits include 2 weeks of vacation, 3 sick days, 10 ProSidian holidays, and government holidays..
  • Pre-Tax Payment Programs: Pre-Tax Payment Programs are premium-only plans (POPs) that provide eligible employees with a comprehensive Flexible Spending Account (FSA) Plan and associated tax benefits.
  • Purchasing Discounts & Savings Plans: We aim for your financial success; thus, we offer a Purchasing Discounts and Savings Plan through the Corporate Perks Benefit Program.ย  This program provides special discounts to eligible employees on everyday purchases of products and services.
  • Security Clearance: Due to the nature of our consulting engagements, a security clearance is necessary for engagement teams managing sensitive work in the Federal Marketplace.ย  Security clearance is a valuable asset in your professional portfolio, enhancing your credentials.
  • ProSidian Employee & Contractor Referral Bonus Program: ProSidian can offer up to $5,000 for referrals who stay employed for 90 days, based on candidates submitted through our Referral Program.
  • Performance Incentives: Due to the nature of our consulting work, performance incentives are tied to each new client that employees assist in pursuing...

ProSidian Consulting logo

About ProSidian Consulting

Sourced by ZipRecruiter

ProSidian is a management and operations consulting firm with a reputation for its strong national practice spanning six solution areas including Risk Management, Energy & Sustainability, Compliance, Business Process, IT Effectiveness, and Talent Management. We help clients improve their operations. Linking strategy to execution, ProSidian assists client leaders in maximizing company return on investment capital through design and execution of operations core to delivering value to customers. Visit www.ProSidian.com or follow the company on Twitter at www.twitter.com/ProSidianfor more information.

Industry

Business schools and computer and management training

Company size

11 - 50 Employees

Headquarters location

Charlotte, NC, US

Year founded

2004

Social media