Executive Director, Data Science
JPMorganChase
Executive Director, Data Science
Job Information
- Job Identification 210659115
- Job Category Software Engineering
- Business Unit Asset & Wealth Management
- Posting Date 2025-09-03, 04:41 p.m.
- Locations 575 Washington Blvd, Jersey City, NJ, 07310, US
- Job Schedule Full time
- Base Pay/Salary Jersey City,NJ $204,250.00-$285,000.00
Job Description
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
About Us
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
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