Center 3 (19075), United States of America, McLean, Virginia
Manager, Talent Assessment
As a Manager on the Talent Assessment team, you’ll be part of Capital One’s People Strategy & Analytics organization working closely with Talent Acquisition partners, business leaders, and other I/O Psychologists to design and deliver innovative selection strategies to support our shared business goals. With an emphasis on consulting and quantitative and qualitative analysis, you’ll support the design, validation, and implementation of assessment tools and processes to help ensure Capital One secures outstanding and diverse talent across our enterprise.
Our ideal candidate will display a strong balance of analytical and problem solving skills, business consulting, and communication competencies as well as the ability to work in a dynamic team environment. You’ll be on a team of employee selection subject matter experts and will design, conduct, and document analyses (e.g., adverse impact metrics; sampling plans; validation studies) leading projects with enterprise-wide impact and specific to lines of business as well.
You’ll have the opportunity to consult with Talent Acquisition and other HR partners on selection projects, process improvements, reporting and analysis tools, and other initiatives focused on improving the candidate experience and enabling best practices in the pre-employment assessment space.
As a Manager on the Talent Assessment team, your main responsibilities include, but are not limited to:
- Effectively and independently building alignment on decisions within a project while developing a “trusted partner” relationship with senior HR leaders and partners
- Communicating results of statistical analyses, along with their implications, to technical and non-technical audiences in order to drive significant decisions
- Leading the design, development, validation, testing, and implementation of practical, effective, defensible, and candidate-friendly products and selection tools and processes
- Mentoring or coaching team members to improve interaction models and build trust
- Overseeing the development and maintenance of large data sets for analyses on various selection and assessment programs
- Serving as an analyst for selection tool evaluation and reporting, including business impact analyses for selection solutions and programs
Successful Managers on the Talent Assessment team demonstrate competencies in these areas:
- Execution: Develop and test hypotheses, design solutions, assess operational feasibility, lead implementation efforts, and develop plans and tools for monitoring outcomes
- Partnership: Collaborate with colleagues across Capital One including: HR, Technology, Sales, Operations, Finance and others to drive candidate experience improvements and business results.
- Strategic & Analytic orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation.
- Business communication: Impeccable written and oral communication skills, including strong visualization skills (i.e., able to “tell the story” and highlight key insights in a clear and concise manner that is easily understood by stakeholders at all levels across the organization and with varying levels of technical savvy).
- Results focus: Drives for results and achieves important goals applying strong organizational skills and detail orientation
- Analysis: Identify opportunities for improvement and use data to make strategic and tactical recommendations
Basic Qualifications:
- Master's Degree
- At least 4 years of work experience in a field emphasizing talent assessment, development, or management
- At least 3 years of employee selection and assessment work experience
- At least 3 years of experience in consulting
- At least 2 years of data analysis experience conducting analyses, and building statistical models in R, Python, and/or SQL
Preferred Qualifications:
- PhD in Industrial and Organizational Psychology, Organizational Behavior, or other technical or quantitative discipline, including but not limited to Cognitive Science, Neuroscience, Economics, Behavioral Economics, Mathematics, Physics, Biology, Chemistry or Statistics
- Proficient in Python
- Knowledge of advanced statistical methodologies, including regression, longitudinal analysis, and/or Bayesian modeling
- Experience working in cross-functional teams to push enterprise-level selection projects through to completion
- Proficient in using Google Suite products or similar programs