Head of AI & Data Science

The Head of AI & Data Science will Lead a new AI and Data Science team, within the Data-Analytics organization, to develop and execute the bank’s AI strategy and increase the use of machine learning to drive measurable business impact. This role will drive the activation of Generative AI use cases and build sustainable capabilities in predictive analytics. This is a highly visible and collaborative position that partners closely with several functions including technology, operations, risk management, and business segments.

Expected work hours:

Job Description:

Responsibilities include but are not limited to:

Partner with functional teams and business segments to identify opportunities to use predictive analytics to improve business performance.
Develop and execute on a strategy for the use of Generative AI across the bank, in partnership with a cross-functional AI Working Group.
Build advanced analytics solutions, leveraging machine learning techniques, to enable data-driven customer experiences across channels, optimize marketing investments, improve risk prediction.
Partner with risk management and compliance teams to build a sustainable model governance framework and processes for the use of AI and models, in a variety of applications.
Build and lead a team of high-performing data scientists; develop talent to increase advanced analytics capabilities by defining direction and applying best practices and tools across the bank.

Requirements:

Required Skills:

Expertise and prior hands-on experience in building advanced analytics solutions, leveraging a variety of predictive analytics, machine learning techniques and testing methodologies.
Strong understanding of Generative AI models, potential use in business applications, data privacy and ethical considerations associated with use.
Prior experience working with legal, compliance and risk management teams, preferably in financial services and/or highly regulated industry.
Expertise in applying predictive models in a variety of applications such as campaign targeting, credit risk, fraud, rate sensitivity, customer attrition.
Hands-on experience in data extraction and data manipulation in cloud data environments (preferably Snowflake), using languages such as SQL, Python, Hive.
Proven ability to influence and partner at the senior leadership level.
Demonstrated ability to build and motivate high performing teams towards extraordinary levels of excellence and standards.
Superior presentation and storytelling skills, customer focus and ability to work in diverse, cross functional team environment.
Collaborative approach and ability to partner effectively with business, data, and technology teams.

Required Experience:

Bachelor’s degree in a quantitative discipline, such as Data Science, Mathematics, Business Analytics, Econometrics, Engineering, Sciences.
Minimum of 7 years working in a data science role with hands-on experience in developing advanced analytics solutions using a variety of supervised and unsupervised machine learning techniques such as decision trees, regression analysis, Random Forest, clustering.
Hands-on experience in data wrangling and feature engineering to improve model performance.
Financial Services experience and knowledge of Retail / Commercial Banking industry, products, and data highly desired.
Prior experience building and/or managing a team.
Advanced knowledge of data structures and the ability to manage manipulate data within visualization tools.
Demonstrated record of influencing others through consensus building in a cross functional environment.

Preferred Experience: