Executive Director, Data Science

The Executive Director Data Scientist will lead our data team within the Applied AI & Analytics Solutions product group, driving innovation in AI, machine learning, and advanced analytics.

This role is pivotal in exploring, piloting, and implementing cutting-edge data-driven solutions that address complex business challenges.

The ED Data Scientist will spearhead research and development efforts and nurture a culture of experimentation and innovation, ensuring seamless integration of solutions into operational workflows and collaboration across business units

Job Responsibilities


* Explore and implement new technologies, methodologies, and innovations in data and analytics.


* Conduct research and development to identify and apply cutting-edge AI and machine learning (ML) solutions.


* Drive the creation, building, and deployment of advanced data-driven solutions that address complex business challenges.


* Collaborate closely with other teams to ensure smooth transitions and effective support for newly developed solutions.


* Facilitate the integration of advanced analytics models and applications into everyday operational workflows.


* Drive research initiatives and pilot projects that promote a culture of innovation and continuous improvement within the organization.


* Lead the team in developing impactful AI/ML models and data-driven applications that meet business needs and performance standards.


* Partner with external experts and industry peers to stay informed of emerging trends and best practices.


* Champion the adoption of innovative technologies and methodologies across the firm, influencing a forward-thinking approach towards data and analytics


* Integrate advanced AI/ML solutions with agentic technologies (e.g.

LangChain) and develop predictive models and autonomous agents that automate complex data tasks, streamline workflows, and empower users.


* Manage and build the semantic data layer, defining relationships among key business entities to fuel intelligent search, recommendation engines, and network analysis.


* Develop data-driven tools, dashboards, and analytical applications to enhance advisor efficiency and deepen client engagement


* Deliver end-to-end solutions for understanding and improving organizational engineering performance through the creation of core data assets and analytical dashboards.


* Oversee the design, deployment, and management of prompt-based models on LLMs for various NLP tasks in the financial services domain.


* Conduct and guide research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.


* Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization.

Required qualifications, capabilities, and skills


* Minimum 10+ yea...