Associate Director of Generative AI at Gilead Sciences leading AI initiatives across commercial functions. Developing and deploying Gen AI solutions to enhance healthcare outcomes while ensuring compliance with regulatory standards.
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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