Come join us in reshaping the future!

Within the CCB Data & Analytics organization, the Focused Analytics Solutions Team (FAST) develops and executes actionable data science and analytical solutions in a consulting-style environment, while placing a premium on creative, practical problem solving and superior client interaction. An equally important part of the FAST mission is to train and develop the next generation of data and analytics talent through hands-on apprenticeship and structured classroom-style training. The team delivers across a wide range of high-visibility, strategic initiatives, partnering with LOB-aligned (e.g., Consumer Bank, Card, Wealth Management) and cross-functional (e.g., Digital, Operations, Marketing) analytics teams. 

As a Data Science Manager on the Focused Analytics Solutions Team, you will lead the design, build, and delivery of actionable and end-to-end analytical solutions spanning the analytical spectrum. This role is a mix of consulting know-how (problem solving, thought leadership, communication), analytical proficiency in statistics, data science and machine learning, and, when required, hands-on proficiency in SQL/Python programming, visualization methods and technologies, and data engineering / infrastructure.

Job responsibilities

Lead teams of data scientists to develop, plan, and deliver end-to-end analytical projects as team lead and, when necessary, as a hands-on data scientist Serve as a trusted advisor and thought leader by providing expertise throughout project lifecycles, from scoping and planning to generating insights and deploying the solution Guide project teams in synthesizing analytical findings for consumption by internal analytical clients and senior executives  Establish and manage relationships with internal clients and partners Recruit, develop and retain talent by creating an environment of open communication that prioritizes continued learning and growth  Set standards of excellence for the team by demonstrating professional expertise, strong work ethic, integrity and professional behavior Maintain a rigorous controls environment to ensure accurate and timely results

Required qualifications, capabilities, and skills 

5+ years of industry experience in data science or business analytics roles (e.g., marketing analytics, sales analytics, business insights) Experience leading project teams and coaching/mentoring early career talent Foundational and applied knowledge of statistical, data science, and machine learning methodologies, including:  Descriptive, inferential, and causal statistics Predictive modeling Optimization modeling Generative AI & Large Language Models A/B testing methods Excellent communication, with an ability to convey complex information in an understandable, compelling, and persuasive manner to non-technical clients, executives, and junior data scientists Familiarity with a variety of analytical project types, ranging from business intelligence, to data engineering and infrastructure, to higher order modeling, including model deployment and maintenance Proficiency in SQL and Python, plus big data technologies such as Hive, Hadoop, and Spark Bachelor’s degree in relevant quantitative field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science)

Preferred qualifications, capabilities, and skills 

Advanced degree in relevant quantitative field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science) Direct people management experience Financial services experience