GenAI Delivery Executive

Key Skills

Aartificial intelligence, Computer Vision (CV), Data Mining, Data science techniques, Effective communication skills, Generative AI, Leadership Skill, Logistic Regression, Machine learning techniques, Natural Language Processing (NLP), Planning and organization, Python Programming, R Programming

Job Description

What you’ll do:

• Responsible for defining and innovating machine learning capabilities that enable business to meet strategic goals.
• Leverages state-of-the-art machine learning/AI tools and analytical methodologies to develop and implement various types of predictive models with the targeted goal of achieving business priorities.
• Partners with key stakeholders from business units to gather, analyze, and determine data and information requirements in support of the data and analytics roadmap, and determine the feasibility of those requirements from a technical perspective
• Collaborates with other senior leaders to set the strategic direction of the business through data and information exploration, research of emerging technologies or analytical techniques and long-term defined/project specific strategic assignments.
• Agility to collaborate and influence peers and customers as the Data Science discipline continues to scale and mature.
• Responsible for the exploration of promising new technologies, analytical methods, and data sources (internal to USAA & external) that have potential to add value to the enterprise.
• Accountable for solutions that influence decision makers and drive change by driving and helping to set the business direction, environment, and strategies.
• Accountable for the design and construction of large and complex data sets from large amounts of structured and unstructured data (internal and external) to enable analytical solutions.
• Builds and leads a high performing team of experts in advanced analytics; develops team reputation as highly skilled experts in the field of data science.
• Strengthens data stewardship, actively manages information risk, and collaborates in division and enterprise data and analytics leadership forums to further information governance and mitigate information and business risks.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

• Bachelor’s degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or directly related field OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
• 10+ years of experience in predictive modeling, large data analysis and computer science.
• 4+ years of people leadership experience in building, managing and/or developing high-performing applied analytics (data science, decision science, etc.) teams.
• Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis), with specific expertise in generative AI models, natural language processing, computer vision and deep learning.
• Extensive knowledge in at least one advanced analytics programming language (e.g., Python, R, etc.).
• A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).
• Extensive experience in data mining and statistical analysis.
• Demonstrated pattern recognition and predictive modeling skills.
• Knowledge and application of Data Science principals and experience with data science methodologies.
• Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
• Extensive technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.
• Demonstrated experience leading business or product/portfolio transformation through use of advanced analytics.
• Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.

What sets you apart:

• Advanced degree (Ph.D. or equivalent) in computer science, data science, statistics, or a related field.
• 10+ years leading and inspiring large-scale, geographically dispersed data science teams.
• Demonstrated successes articulating the art of the possible and influencing senior executive level leaders to action in a top 200 company.
• Accomplishments advocating for and creating GenAI use cases and executing GenAI delivery in a highly matrixed, complex environment.

What we offer:

Compensation:

USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $216,750.00 - 390,150.00.

Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.

Long Term Incentive Plan: Cash payment for Executive level roles only, representing a cash payment which is both time and performance based.

Benefits:

At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include 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, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, please visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.