Description
Mastercard is seeking an experienced and visionary Vice President of Data Science – Open Finance to lead the development and delivery of advanced data science and AI capabilities that power its Open Finance business.
The role involves building and scaling a world-class Data Science organization focused on transforming financial data into actionable insights, predictions, and decisioning capabilities. The VP will work closely with various teams to identify high-value opportunities, translate business problems into data science solutions, and deliver capabilities that create measurable customer and commercial value.
Key Responsibilities:
- Define and execute the Data Science strategy for Open Finance in alignment with overall business and product objectives.
- Identify opportunities where advanced analytics, machine learning, and AI can create differentiated products, improve decisioning, reduce risk, and drive growth.
- Establish a scalable roadmap spanning foundational intelligence capabilities and application-specific models and solutions.
- Evaluate and adopt the latest advances in machine learning, generative AI, foundation models, LLMs, deep learning, NLP, and other emerging technologies where they can create meaningful business value.
- Ensure models are accurate, scalable, explainable where required, resilient, and continuously improved based on performance and changing market conditions.
- Lead the development and continuous improvement of production-grade models and AI capabilities, including transaction categorization, entity extraction, income and revenue classification, fraud detection, credit risk, and propensity modeling.
- Partner closely with Product, Engineering, Sales, Risk, Marketing, and business leaders to understand customer needs and translate them into scalable data science solutions.
- Build, lead, and develop a high-performing global Data Science organization.
- Establish rigorous standards for model development, validation, monitoring, explainability, and performance.
Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Engineering, Data Science, or a related quantitative discipline.
- Previous experience in data science, machine learning, AI, analytics, or a related field, with significant leadership experience.
- Proven experience leading and scaling large, high-performing Data Science or AI organizations.
- Deep understanding of modern machine learning and AI techniques and their application to real-world business problems.
- History of taking machine learning models from research and experimentation through production, commercialization, and ongoing optimization.
- Background in financial services, fintech, payments, Open Banking/Open Finance, lending, fraud, or risk preferred.
- Strong understanding of modern data and AI platforms, MLOps, cloud technologies, and production machine learning environments.
Benefits:
- Competitive base salary
- Annual bonus or commissions depending on the role
- Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- Flexible spending account and health savings account
- Paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
- 80 hours of Paid Sick and Safe Time
- 25 days of vacation time and 5 personal days
- 401k with a best-in-class company match
- Deferred compensation for eligible roles
- Fitness reimbursement or on-site fitness facilities
- Eligibility for tuition reimbursement