Leidos · 1 day ago
Data Science Manager for FP&A
Reston, VA
Full-time
Onsite
Mid, Senior Level
$108K/yr - $195K/yr
5+ years expLeidos is seeking a dynamic individual to manage a high-performing team within their Financial Insights & AI Solutions team. The Data Science Manager will provide operational leadership, develop and deploy advanced analytical models, and collaborate with stakeholders to drive innovation and transformation in finance and business operations.
ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware
Responsibilities
Directly manage Data Science team members, including goal setting, performance management, coaching, and career development
Foster a collaborative, inclusive, and high-performing team culture
Support talent development by identifying skill gaps and partnering with Corporate FP&A leadership on training and growth opportunities
Oversee and support the development of predictive models and data-driven insights for a variety of mission-critical applications
Provide support across our business initiatives focusing on: Decision Intelligence, Predictive Analysis & Operations Automation
Engage in continuous learning and development, staying current with the latest advances in AI/ML and data science to ensure fit-for-purpose and impactful approaches
Partner with the Business Insights & AI Solutions Director and Data Analytics Manager to ensure commitments are met and tasking aligns with business priorities
Monitor delivery progress, risks, and dependencies
Collaborate with a team of other applied scientists, data analysts, and financial professionals to apply predictive models and automation solutions
Support prioritization and execution of the F&BO Analytics & AI Roadmap
Partner with the Enterprise Transformation Office (ETO)
Balance short-term delivery needs with longer-term capability development
Partner with the Business Insights & AI Solutions Director and the Enablement & Change Lead to support Organizational Change Management (OCM) activities
Help drive adoption of analytics and AI solutions through effective communication, stakeholder engagement, and enablement
Reinforce standard processes, governance, and best practices across the CoE
Communicate complex analytical findings, outcomes, and recommendations clearly to both technical and non-technical stakeholders to drive decision-making
Develop and present leadership briefings, including delivery status, capacity, risks, and outcomes
Communicate clearly with business stakeholders to align expectations and ensure shared understanding of priorities
Qualification
Required
Bachelor's degree in a quantitative field or a related discipline with 5+ years of relevant professional experience
Prior experience managing a team or project
Proficiency in a programming language such as Python or R and deep experience with common data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch)
Preferred
Basic understanding of Leidos financial data structures and processes
Familiarity with cloud-based data science and machine learning platforms (e.g., AWS SageMaker, Azure ML)
Experience with data visualization tools such as Tableau or Power BI
Knowledge of Generative AI technologies and their applications, including Large Language Models (LLMs)
Company
Leidos
Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.
10001+ employees
H1B Sponsorship
Leidos has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (65)
2024 (58)
2023 (77)
2022 (65)
2021 (56)
2020 (89)
Funding
Current Stage
Public CompanyTotal Funding
unknown2025-02-20Post Ipo Debt
2013-09-17IPO
Leadership Team
James Carlini
Chief Technology Officer
Theodore Tanner
Chief Technology Officer
Recent News
MarketScreener
2025-12-16
2025-12-16
Company data provided by crunchbase