Data Scientist Lead-Vice President

Data can change the way clients experience wealth management-when it is translated into decisions people can act on.

In this role, you will lead a team that connects product, strategy, and operations to measurable outcomes through analytics, machine learning, and artificial intelligence.

You will tackle high-impact questions, build scalable capabilities, and help shape how the business prioritizes what matters most.

If you are energized by ambiguity and motivated by real-world impact, you will thrive here.

As a Data Science Lead in Wealth Management Decision Sciences, you will lead a team that delivers insights and machine learning solutions that improve client outcomes, product performance, and operational efficiency.

You will partner closely with product, strategy, and operations teams to frame problems, define success measures, and deliver clear recommendations to senior stakeholders.

You will help the team apply the right level of analytical rigor-ranging from descriptive analytics and visualization to advanced modeling-based on the business need.

You will also identify and develop high-value opportunities to leverage artificial intelligence and agentic tools to elevate analytical productivity and decision quality.

This is a vital hands-on role and manager role so we're looking for exceptionally creative, ambitious, \"data curious\" thinkers who can help extract true business value from data.

Job responsibilities


* Collaborate with product, strategy, and operations teams to provide analytical support for wealth management initiatives and decision-making


* Apply statistical methods, data analysis, and artificial intelligence-assisted approaches to solve business problems across product, financial, client engagement, and operational outcomes


* Lead end-to-end analytics delivery, from problem framing and measurement design through insight generation and communication to senior stakeholders


* Develop and refine analytics approaches for machine learning and trigger capabilities that improve the operations process in a scalable, sustainable way


* Analyze client usage across risk segments and products to understand relationships between risk appetite and portfolio allocations


* Operationalize experimentation frameworks to evaluate enhancements, quantify impact, and inform prioritization


* Assess client experience and journey outcomes, including artificial intelligence-enabled discovery, to identify improvement opportunities and measurable value creation


* Identify and develop high-value artificial intelligence and agentic use cases that improve analytical productivity, decision quality, portfolio allocations, and customer outcomes

Required qualifications, capabilities, and skills


* BS Degree in an applicable STEM field and 5+ years of industry experience producing advanced analytics work.


* 2 years of people management experience, including performance management, coaching, and team development...