The SVP of Data Science & Machine Learning will lead the AI and data innovation strategy for a major bank's AI Innovation Hub. This executive role involves building and mentoring data science teams, developing and deploying AI solutions, and owning the AI roadmap to drive data-first decision making and innovation.
About the role
About the Role
We're hiring a SVP of Data Science & Machine Learning to lead the AI and data innovation strategy within a high-impact, enterprise-level AI Innovation Hub for one of the regions biggest banks. This is a senior leadership opportunity where you'll shape and deliver transformative AI solutions across multiple business units.
What You’ll Be Doing
Lead the Data Science vertical for a large-scale AI Innovation Hub
Build and mentor multidisciplinary teams of data scientists and ML experts
Develop and deploy AI use cases that solve real commercial problems
Design and implement scalable machine learning, NLP, and deep learning models
Work cross-functionally with product, tech, and business stakeholders to drive data-first decision making
Build data pipelines, predictive models, and advanced analytics frameworks to accelerate data maturity
Own the AI roadmap, aligning with business KPIs and long-term growth
Drive innovation and experimentation using emerging AI technologies, including Generative AI
What We're Looking For
10+ years of data science experience, with 5+ years in a leadership capacity
Proven ability to manage complex, multidimensional teams in fast-paced environments
Deep technical understanding of AI, machine learning, deep learning, and LLMs
Strong track record of guiding AI strategy and deploying models at scale
Exceptional communication and stakeholder alignment skills
Master’s or PhD in Data Science, Computer Science, or related field with a strong AI focus
Skills
AiData scienceMachine LearningNlpDeep LearningGenerative AiLlmsData PipelinesPredictive ModelsAdvanced Analytics