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Director Predictive Analytics Jobs in Virginia (NOW HIRING)

AI & DG Dir3

Falls Church, VA · On-site

$200K - $340K/yr

... direct the execution of the enterprise AI product development pipeline, including use-case selection, model lifecycle management, and value realization. * Lead enterprise predictive analytics, HR ...

Safety Director Reports to: CEO / VP of Operations / COO Location: Sterling, VA onsite Job Summary ... Utilize EHS management software and predictive analytics to track safety metrics (e.g., DART rates ...

Experience incorporating AI, predictive analytics, automation, or business intelligence tools into ... Direct the development of compliant, accurate, and compelling cost proposals, pricing volumes, cost ...

Pricing Director

Arlington, VA · Hybrid

$170K - $200K/yr

Experience incorporating AI, predictive analytics, automation, or business intelligence tools into ... Direct the development of compliant, accurate, and compelling cost proposals, pricing volumes, cost ...

Coordinate analytical development activities using Government-directed collaboration and task ... modeling, predictive analytics, or automation, to operational or mission-focused analytical ...

Business Analyst

Alexandria, VA · On-site +1

$120K - $139K/yr

Direct experience with DoD maintenance systems * Proven track record defining complex requirements ... Experience with predictive analytics or decision support systems * Track record of coaching ...

Director of Technology

Arlington, VA · On-site

$160K - $175K/yr

Director of IT CEG Solutions LLC is a leading national Energy Service Company (ESCO) delivering ... Drive pilot programs for AI-powered tools such as document automation, predictive analytics, and ...

Director of Technology

Arlington, VA · On-site

$160K - $175K/yr

Director of IT CEG Solutions LLC is a leading national Energy Service Company (ESCO) delivering ... Drive pilot programs for AI-powered tools such as document automation, predictive analytics, and ...

Director of IT CEG Solutions LLC is a leading national Energy Service Company (ESCO) delivering ... Drive pilot programs for AI-powered tools such as document automation, predictive analytics, and ...

Develop quantitative simulations and models to provide descriptive and predictive analytics ... At least three (3) years of direct experience in machine learning. * Must have a Advanced Degree ...

Develop quantitative simulations and models to provide descriptive and predictive analytics ... At least three (3) years of direct experience in machine learning. * Must have a Advanced Degree ...

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Showing results 1-20

Director Predictive Analytics information

What are the key skills and qualifications needed to thrive as a Director of Predictive Analytics, and why are they important?

To thrive as a Director of Predictive Analytics, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Python, R, SQL, cloud-based analytics platforms, and relevant certifications in data science or analytics software are highly valued. Exceptional leadership, strategic thinking, and communication skills help you translate complex data insights into actionable business strategies and manage cross-functional teams effectively. These competencies are crucial for driving data-informed decision-making and maximizing the value of predictive analytics within an organization.

What does a director of analytics do?

A director of analytics oversees data analysis teams to develop strategies that improve business performance through data-driven insights. They manage analytics projects, interpret complex data, and communicate findings to stakeholders, often using tools like SQL, Python, or Tableau. This role requires strong leadership, statistical knowledge, and experience in predictive modeling and data management.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often executive-level positions such as Chief Data Officer or Director of Predictive Analytics, which can offer salaries exceeding $150,000 annually. These roles typically require advanced skills in data modeling, leadership, and experience with tools like Python, R, or SQL, along with strategic decision-making responsibilities.

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

AspectDirector Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon across tech, finance, marketing, and research sectors for data analysis

The main difference is that the Director Predictive Analytics oversees teams and strategic projects, focusing on leadership and high-level decision-making, while Data Scientists primarily analyze data and build models to derive insights. Both roles require strong analytical skills and knowledge of data tools, but the director position emphasizes management and strategic alignment.

What skills are needed for predictive analytics?

Predictive analytics professionals need strong skills in statistical analysis, data modeling, and machine learning algorithms. Proficiency in programming languages such as Python or R, experience with data visualization tools, and knowledge of database management are also essential for success in this role.

Will AI replace big data?

As a Director of Predictive Analytics, you understand that AI enhances big data analysis by automating data processing and improving predictive models. AI tools like machine learning algorithms are used to extract insights from large datasets, but they complement rather than replace the need for big data infrastructure and skilled analysts. Both are essential for effective data-driven decision-making in organizations.

What are the typical collaboration points for a Director of Predictive Analytics within an organization?

A Director of Predictive Analytics regularly collaborates with cross-functional teams, including data engineers, data scientists, business stakeholders, and IT departments. They are responsible for translating business needs into analytical solutions, ensuring data quality, and integrating predictive models into operational systems. Strong communication is essential, as the director must bridge technical teams and business leaders to drive data-driven decision-making throughout the organization.

What does a Director of Predictive Analytics do?

A Director of Predictive Analytics leads teams that use data, statistical algorithms, and machine learning techniques to forecast future outcomes and trends for a business. They are responsible for developing and implementing predictive models that drive strategic decisions in areas such as marketing, operations, and risk management. This role often involves collaborating with executives, data scientists, and IT professionals to ensure analytics solutions align with organizational goals. Additionally, the Director oversees data quality, project management, and the adoption of analytical best practices across the company.
What are the most commonly searched types of Predictive Analytics jobs in Virginia? The most popular types of Predictive Analytics jobs in Virginia are:
What cities in Virginia are hiring for Director Predictive Analytics jobs? Cities in Virginia with the most Director Predictive Analytics job openings:
AI & DG Dir3

AI & DG Dir3

BAE Systems

Falls Church, VA • On-site

$200K - $340K/yr

Full-time

Posted 10 days ago


BAE Systems rating

8.5

Company rating: 8.5 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

9th of 50 rated military and defense


Job description


Our Information Technology organization is accelerating the company's transformation toward intelligent, data-driven operations. As artificial intelligence, advanced analytics, and automated decisioning increasingly define how we build, operate, and sustain enterprise systems, this role will serve as a senior leader shaping the direction of the company's data and AI ecosystem.
The Director III, IT Service Owner for Artificial Intelligence & Data Services, functions as the enterprise's executive-level authority on data governance, analytics, AI product development, and data platform strategy. Acting as the strategic owner and operational leader for all enterprise data and AI capabilities, this leader will define long-range data strategy, ensure trust and stewardship of mission-critical data assets, and drive the delivery of scalable, modern, secure AI-enabled solutions.
This role partners across business areas, executive leadership, and technology domains to ensure data and AI services deliver measurable business value, operational efficiency, and competitive advantage. The director will also lead the organization in advancing data maturity, establishing strategic guardrails, developing technical talent, and ensuring that AI adoption adheres to security, governance, and ethical standards.
Key Responsibilities
  • Serve as the enterprise executive responsible for the strategy, performance, and outcomes of all AI and Data Services.
  • Define and lead the enterprise data governance strategy, including policies, stewardship structures, quality frameworks, and adoption mechanisms that deliver meaningful incremental value.
  • Own the roadmap, implementation, and operations of the enterprise data catalog, metadata management, and data lineage capabilities.
  • Oversee security and access controls, ensuring data protection, compliant usage, and appropriate guardrails for AI models and analytics platforms.
  • Develop and direct the execution of the enterprise AI product development pipeline, including use-case selection, model lifecycle management, and value realization.
  • Lead enterprise predictive analytics, HR analytics, and advanced reporting solutions that enable data-driven business decisions.
  • Establish strategic and operational governance for all enterprise data and AI services, ensuring alignment with corporate objectives, technology strategy, and risk posture.
  • Define and maintain the technology roadmap for data platforms, AI infrastructure, reporting tools, and analytics ecosystems.
  • Oversee support, sustainment, and continuous improvement of enterprise data systems and AI environments.
  • Provide executive-level communication and engagement to senior leaders, translating complex technical concepts into actionable recommendations.
  • Influence, guide, and align leaders across the matrix-especially those outside direct reporting lines-to drive enterprise adoption of AI and data capabilities.
  • Build and develop a high-performing organization with deep data engineering, analytics, AI, and product delivery expertise.
  • Establish and monitor service performance metrics, SLAs, risk indicators, and operational controls that ensure reliability and quality.
  • Serve as an internal thought leader, advising executives on emerging AI practices, data opportunities, and enterprise-wide modernization initiatives.

Required Skills and Education
  • Bachelor's degree, or equivalent combination of education and experience, in Computer Science, Engineering, Information Systems, Data Science, or related field; advanced degree strongly preferred.
  • Minimum 12+ years of progressive experience across data, analytics, AI, or enterprise technology leadership roles.
  • Strong leadership and executive presence, capable of engaging and influencing senior stakeholders.
  • Deep expertise in data analytics, predictive analytics, AI technologies, data governance, and modern data platforms.
  • Proven ability to architect and lead data governance frameworks that deliver organizational value.
  • Strong background in software development, technical program management, or enterprise technology delivery.
  • Ability to balance long-range strategic planning with short-term operational execution.
  • Exceptional communication skills, able to simplify complex technical concepts for non-technical executives.
  • Collaborative and innovative mindset, capable of driving transformation across a large, matrixed enterprise.
  • Strong talent development and coaching capability to build future data and AI leaders.
  • Ability to travel as needed, approximately 25%.

Preferred Skills and Education
  • Demonstrated success implementing enterprise data governance frameworks and data cataloging solutions.
  • Proven experience managing secure data environments, access controls, and compliance-driven analytics ecosystems.
  • Significant experience developing and delivering predictive analytics, reporting platforms, and AI products.
  • Demonstrated ability to create and execute technology roadmaps supporting enterprise transformation.
  • Proven capability in building and leading technical teams, fostering strong engineering and analytics talent.
  • Strong background in software development, systems engineering, or technical program management.

Demonstrated ability to influence executives, lead cross-functional initiatives, and drive alignment across a large matrix organization.
About BAE Systems, Inc.
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

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