Principal Data Scientist-Payments-Executive Director

Ignite your passion for product innovation by leading customer-centric development, inspiring solutions, and shaping the future with your strategic vision and influence.

Treasury teams are under pressure to make faster decisions with better data-without increasing risk.

In this role you will drive the data science and AI efforts that help shape the future of the corporate treasury.

As a Principal, Data Scientist in the Payments Data & Analytics organization you will partner with the product organization in developing and scaling agentic, AI-native treasury products, grounded in real practitioner workflows.

Job responsibilities


* Define and drive the AI strategy for client facing agentic corporate treasury solutions, identifying high-value opportunities for generative AI, agentic AI, and analytics innovation to create competitive advantage


* Partner with Data, Product, and Technology to deliver AI and machine learning solutions from ideation and prototyping through production deployment, ensuring solutions are scalable, responsible, and aligned to business needs


* Stay current on emerging AI and machine learning techniques and translate new capabilities into practical applications for the Payments business


* Drive evaluation frameworks, experimentation (including A/B testing and causal inference), and strategies that improve client experience


* Attract and retain top analytics talent through hiring, onboarding, and skills development programs.

Required qualifications, capabilities and skills:


* PhD in a quantitative discipline (e.g., computer science, data science, statistics, econometrics, or related) with 10+ years of progressive analytics and data science experience spanning both hands-on development and enterprise-scale leadership responsibilities


* Deep technical expertise across applied data science, including predictive modeling, statistical analysis, customer/behavioral segmentation, and experimental design, with the ability to coach others and establish engineering-quality standards for analytic work


* Languages & Modeling skills: Python, JavaScript, PHP, SQL, C#, Predictive & Causal Modeling


* AI/ML Platform expertise: MLOps (MLFlow, Metaflow, DataRobot), Generative AI, AI Observability, NLP


* Proven track record translating machine learning and analytics into measurable business outcomes, including defining the decision to be improved, building the model/measurement approach, and driving adoption through product, operations, and executive stakeholders


* Strong strategic and commercial acumen, with the ability to frame ambiguous analytical questions into executable roadmaps and translate findings into executive-ready narratives, trade-offs, and recommendations


* Experience leading analytics across multiple concurrent business domains (e.g., product, customer lifecycle, operations, growth, or planning), balancing near-term delivery with longer-term capability building (dat...