Senior Data Science Manager, Member-Centric Analytics

If interested please contact Margot Parsons at or call

Required (non-negotiable):

• 8 years of professional experience in a data science role, working with large amounts of data, and implementing end-to-end (inception to productization) solutions in the financial services industry
• 3+ years of managing and leading a high-performing team
• They MUST be a "working/hands-on manager - working alongside their team
• CURRENTLY hands-on Data Science, Python, SQL, and/or Spark
• Proven experience surrounding member-centricity/customer-centricity/customer analytics
• Proven experience in increasing revenue or engagement, optimizing processes

• Collaborate/partner with stakeholders to define questions that are addressed and will lead to the optimization of the member experience and journey
  • Working mainly with CC, checking/saving, mortgage, insurance, lending, and member experience BUs
• For example, looking at the current issues that exist in member servicing
  • We want to understand the customer issues seamlessly
  • Looking at customer comments they leave on the web or surveys, first contact to resolution - we want to look at the messages and see what the main issues are
  • We connect them to the financial impact and give the respective product stakeholders a report on what we have observed.
• Member experience being more seamless, smooth, and excellent
• Achieving 100% satisfaction from our members

• Engaging with stakeholders
• Building relationships
• Identifying questions to be addressed
• Building stories off the insights and how to implement them
• Driving a team of 2-3 data scientists on specific milestones and timelines
• Formulate questions for stakeholders to continue to increase the business of the team - meaning expanding the reach of advanced analytics in the organization

• You will need to get in tune with the stakeholder levels, they all stand at different levels and face different issues
• Get to know who your "client is (stakeholder)
• Getting attuned with the team, leading effectively, report effectively, coach, and mentor
• Not looking for a number cruncher, looking for a problem solver
• People have come in with the mindset of asking what to do, and the manager needs this person to know what to do

• It is an exceptionally high-performing team
• This role has direct access to the CEO and CFO
• A lot of executive leadership visibility
• We have insights going into every business unit - the contributions are being recognized across the org.
• Bleeding edge problems that haven't been figured out yet but are exciting to solve
• We're using top-notch models and methodologies and extending to GEN AI.

• Member lifetime value is a focus but taking this into account which is a leading indicator of the member base you will be exposed
• Identifying issues on the members' journey - both positive and negative
• More granular on figuring out what we can optimize on the members' journey