Director level Data & AI leader at Kyndryl shaping impactful products and services. Engaging with executives to drive AI adoption and scale across complex organizations.
About the role
- Lead strategy professional at USAA developing AI strategy and governance. Engage with senior leadership on data analytics initiatives and quantitative risk management.
Responsibilities
- Develops metrics and decision frameworks to achieve key business objectives
- Applies specialized analytical knowledge to assess future risks and/or new risks, opportunities, and effectiveness.
- Translates results into meaningful solutions to enhance strategic decision making.
- Presents findings to senior level leadership.
- Develops complex systems and programs that measure aggregate risk exposures.
- Develops quantitative financial or economic models and performs model validations and presents results to senior leadership.
- Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer business objectives and lead change.
- Translates highly analytical recommendations into comprehensible communication materials to effectively present to senior leadership.
- Provides subject matter expertise in operationalizing recommendations within the business.
- Produces advanced analytical material to lead discussions with cross functional teams and senior leadership to understand complex business objectives and influence solution strategies.
- Drives and creates cross functional teams in support of initiatives that have significant impact to the enterprise or a core business area.
- Provides direction and mentorship to other team members in the peer review process.
- Expertly communicates analytical results, findings and solutions to governance committees and business process owners and influences business analysis.
- Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
Requirements
- Bachelor's degree in Economics, Finance, Statistics, Mathematics, Engineering, Actuarial Sciences, or other quantitative field; OR 4 years of related experience may be substituted in lieu of degree.
- 8 years of related quantitative analysis experience to include statistical analysis, modeling, engineering, mathematics, business or other quantitative field; OR advanced degree/designation in Economics, Finance, Statistics, Mathematics, Engineering, Actuarial Sciences, or other quantitative field and 6 years work experience in a quantitative field relevant to risk management; OR PhD in Economics, Engineering, Statistics, Mathematics, or other quantitative field and up to 4 years work experience in a quantitative field relevant to risk management.
- 6 years experience working with complex analytical tools and data.
- 2 years experience producing and presenting complex data related to strategic business activities.
- Experience gathering and leading cross-functional teams to produce an effective business outcome.
- Experience mentoring and leading team members related to quantitative analysis and communications.
Benefits
- comprehensive medical, dental and vision plans
- 401(k)
- pension
- life insurance
- parental benefits
- adoption assistance
- paid time off program with paid holidays plus 16 paid volunteer hours
- various wellness programs
- career path planning and continuing education
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