Sr. Business Manager, People Analytics

Capital One•McLean, VA
•$182,500 - $229,100

About The Position

As a Senior Manager, Business Analysis at Capital One, you will use strategic and analytical skills to address how the workforce evolves in the age of AI. You will lead a team of analysts and develop, test, and scale strategies for attracting, developing, and retaining talent. The People Strategy & Analytics team combines data and analytics with enterprise-wide projects, partnering with HR and senior executives to shape talent strategy, translate insights into action, and equip leaders to make better talent decisions as AI changes the workplace. The role leads analysis of complex, open-ended workforce questions and coordinates enterprise initiatives with senior leaders across HR and the business. Work includes developing analyses and tools for an AI-enabled workforce, building attrition models and testing retention strategies, examining how AI reshapes roles, and designing ways to understand and measure associate potential. The successful candidate will own workforce problems from problem framing through analysis and recommendations, lead enterprise workforce strategy and governance, apply enterprise AI tools, and manage and develop analysts. The role calls for strong quantitative and conceptual thinking, executive communication, business judgment, integrity, and the ability to deliver results in a fast-paced, uncertain environment. Previous consulting experience is a plus. The position is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One offers health, financial, and other benefits; eligibility varies by employment status and management level.

Requirements

  • Bachelor’s degree.
  • At least 3 years of experience performing quantitative analysis.
  • At least 3 years of experience performing qualitative analysis.
  • At least 1 year of experience performing people management.
  • At least 1 year of experience performing project management.
  • Proven problem-solving and decision-making grounded in analytics, with conceptual thinking and strong quantitative orientation.
  • Impeccable written and oral communication skills and strategic influence, including storytelling with data and negotiation.
  • Strong business judgment, leadership, and integrity; ability to drive decisions on complex, ambiguous problems.
  • Results orientation and ability to drive an agenda in an uncertain, fluid, fast-paced, entrepreneurial, and dynamic environment.
  • Baseline AI fluency and ability to leverage enterprise AI tools.

Nice To Haves

  • Master’s degree in Business or a quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, or Engineering.
  • 5+ years of experience in quantitative analysis.
  • 5+ years of experience in qualitative analysis.
  • 2+ years of experience in people management.
  • 2+ years of experience in product development.
  • 2+ years of experience in financial modeling.
  • 2+ years of experience in economic forecasting.
  • 2+ years of experience in project management.
  • Previous consulting experience.

Responsibilities

  • Drive enterprise strategy for building an AI-ready workforce, assessing how AI reshapes roles and evolving hiring, reskilling, and organizational-design approaches.
  • Design and scale resources and governance forums that help enterprise leaders plan AI-forward talent strategies.
  • Build analyses, models, and tools involving attrition, retention, internal mobility, and sentiment to inform executive talent decisions.
  • Independently own complex workforce problems by framing the problem, driving analysis, and delivering recommendations for executive-level decisions.
  • Use enterprise AI tools to accelerate analysis, delivery, and program execution.
  • Build productive relationships across HR and business lines to sequence and deliver multiple priorities.
  • Manage and develop a team of analysts, and coach and mentor associates across the organization.
  • Lead cross-functional initiatives and partner with business lines to drive a consistent AI workforce strategy.
  • Develop analyses and tools to help business leaders build a future-ready, AI-enabled workforce.
  • Build attrition models and test retention strategies.
  • Analyze how AI is reshaping roles and test hiring, retention, and talent-development strategies.
  • Design ways to understand and measure associate potential.

Benefits

  • Comprehensive health, financial, and other benefits supporting total well-being.
  • Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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