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+ years of experience in data science, analytics, or a related field.

Significant leadership experience in managing data science/R&D teams and driving technology innovation.

Proven track record of working with AI, ML, and advanced analytics models in a large-scale enterprise environment.

Strong proficiency in programming languages (e.g., Python) and data science frameworks (e.g. scikit-learn, PyTorch, etc.).

Deep understanding of AI/ML algorithms, statistical modeling, and modern data platforms (e.g. Snowflake, Databricks).

Experience with cloud-based data technologies and big data ecosystems

Preferred qualifications, capabilities, and skills

Excellent leadership and team management skills with a strategic vision.

Strong interpersonal, communication, and presentation abilities.

Ability to collaborate effectively across cross-functional teams and mentor emerging talent

Advanced degree (Master’s or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field is preferred