CIB AI Strategy & Control Vice President

The mission of the US AI & Data Team

To accelerate business transformation by turning data and Artificial Intelligence into trusted, scalable capabilities that deliver measurable value. The team partners with business, technology, risk and operations to identify high-impact opportunities, develop and deploy data-driven and AI-enabled solutions, and ensure their responsible adoption through strong data quality, governance, explainability and performance monitoring. Our goal is to improve client experience, commercial effectiveness, operational efficiency and risk management across the organization.

You will be expected to

Lead the design, development and industrialization of data science and AI solutions that improve client engagement, commercial effectiveness, operational efficiency and risk management. The role combines strong analytical depth with business judgment, translating strategic priorities into scalable, governed and measurable data products.

Key Responsibilities

• Frame high-value business problems and define data science approaches, success criteria and measurable KPIs with business, product and operations stakeholders.
• Build, validate and deploy predictive, optimization and machine learning models; contribute to Generative AI and agent-based use cases where appropriate.
• Translate data insights into clear recommendations and decision-ready narratives for senior stakeholders, including assumptions, limitations and expected impact.
• Partner with Data for AI and AI Tech, Risk, Compliance and Operations to deliver reusable, scalable solutions and manage dependencies across initiatives.
• Establish robust model documentation, monitoring and performance standards, ensuring accuracy, explainability, responsible AI and compliance with data and AI governance.
• Support portfolio prioritization by assessing feasibility, data readiness, investment needs, value potential and adoption requirements; promote uptake through training and change management.

Require Experience and Qualifications

• At least 7 years of professional experience as a Data Scientist, Analytics Specialist, Machine Learning Engineer or comparable data-focused role.
• Demonstrated experience delivering end-to-end analytical or AI solutions in complex, cross-functional environments, from problem definition through production deployment and value tracking.
• Strong hands-on skills in Python and SQL, statistical analysis, machine learning, experimentation and data visualization. Experience with cloud data platforms and MLOps is strongly valued.
• Ability to work with large, imperfect data sets and to communicate technical concepts clearly to non-technical audiences.
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Economics or a related quantitative discipline.
• Professional fluency in English. Experience in financial services, regulated environments or risk-sensitive use cases is an advantage.

Successful Profile

A pragmatic and curious data professional who combines rigorous analytical thinking with a strong focus on business value. The successful candidate works effectively across disciplines, challenges assumptions constructively, and delivers trustworthy solutions that can scale across teams and geographies.

Core skills

Data science, machine learning, SQL, Python, experimentation

Ways of working

Collaboration, ownership, structured problem solving

Values

Client focus, innovation, ethics and empathy

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

With respect to this position in our New York Office, the expected base salary ranges from $150,000 to $185,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus.

*Employment eligibility to work with BBVA in the U.S. is required as the company will not pursue visa sponsorship for these positions