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Generative AI Executive Director

JP Morgan Chase

Software and Technology Jobs

Generative AI Executive Director

full-timePosted: Nov 19, 2025

Job Description

Generative AI Executive Director

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging cutting-edge technology to transform the financial services landscape. As a Generative AI Executive Director in our Data and Analytics team, you will play a pivotal role in harnessing generative AI to manage vast datasets, conduct sophisticated analytics, and empower data-driven decisions that shape our global operations. Based in the heart of New York, NY, this position within our Predictive Science category offers the opportunity to lead innovative projects that enhance everything from fraud detection to personalized client experiences in investment banking and consumer finance. You will collaborate with top-tier talent to deploy AI solutions that not only drive efficiency but also uphold our commitment to ethical innovation and regulatory compliance in a dynamic industry. In this executive leadership role, your responsibilities will span strategic oversight and hands-on technical guidance. You will spearhead the integration of generative AI models, such as advanced LLMs, into our predictive analytics frameworks to forecast market trends and optimize risk management. Expect to manage end-to-end data pipelines, ensuring robust governance and security for sensitive financial information, while fostering a culture of insightful analytics that translates into tangible business impacts. Working closely with stakeholders across divisions, you will champion AI initiatives that align with JP Morgan Chase's mission to deliver superior value to clients worldwide, all while navigating the complexities of financial regulations like Dodd-Frank and data privacy laws. We seek a visionary leader passionate about the intersection of AI and finance, with a proven ability to inspire teams and innovate under pressure. This role demands not only technical acumen in generative AI but also a deep understanding of how these technologies can revolutionize predictive science in banking. Join JP Morgan Chase to contribute to groundbreaking advancements that redefine financial services, supported by our world-class resources and a collaborative environment that values diversity and inclusion. If you are ready to drive the future of AI at one of the world's leading financial institutions, this is your opportunity to make a lasting impact.

Key Responsibilities

  • Lead the development and deployment of generative AI solutions to enhance data analytics and predictive modeling within JP Morgan Chase's Data and Analytics team
  • Oversee the management of large-scale datasets, ensuring data quality, security, and compliance with financial industry standards
  • Conduct advanced analytics using generative AI to uncover insights that drive impactful business decisions in areas like investment banking and asset management
  • Collaborate with cross-functional teams, including data scientists, engineers, and business leaders, to integrate AI into core financial services operations
  • Promote ethical AI practices, mitigating biases in generative models and ensuring alignment with JP Morgan's commitment to responsible innovation
  • Mentor and develop a team of AI specialists, fostering a culture of innovation in predictive science applications
  • Evaluate and implement emerging generative AI technologies to optimize processes such as customer personalization and risk assessment
  • Monitor AI model performance and iterate on strategies to improve accuracy and efficiency in financial forecasting
  • Represent the team in executive discussions, translating AI capabilities into strategic advantages for JP Morgan Chase
  • Stay abreast of industry trends in generative AI and predictive analytics, advising on their application to competitive financial services challenges

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field; advanced degree (Master's or PhD) strongly preferred
  • 10+ years of experience in AI/ML, with at least 5 years focused on generative AI technologies such as large language models (LLMs) and diffusion models
  • Proven track record in leading AI initiatives within the financial services industry, including risk management, fraud detection, or personalized banking solutions
  • Deep expertise in data management, analytics, and deriving actionable insights from complex datasets in a regulated environment
  • Experience managing cross-functional teams in a high-stakes corporate setting, with a focus on promoting data-driven decision-making
  • Strong understanding of financial regulations such as GDPR, CCPA, and SEC guidelines as they apply to AI and data privacy
  • Ability to communicate complex technical concepts to non-technical stakeholders, including senior executives

Preferred Qualifications

  • Experience with JP Morgan Chase's internal AI frameworks or similar enterprise-scale AI platforms
  • Publications or contributions to generative AI research in financial applications, such as predictive modeling for market trends
  • Certification in AI ethics or responsible AI practices from recognized bodies like IEEE or Coursera
  • Prior leadership role in a global financial institution, managing AI projects with budgets exceeding $5M
  • Familiarity with cloud-based AI services like AWS SageMaker, Google Cloud AI, or Azure AI tailored to finance

Required Skills

  • Proficiency in Python, R, and frameworks like TensorFlow, PyTorch for generative AI development
  • Expertise in natural language processing (NLP) and computer vision for financial data applications
  • Strong knowledge of machine learning algorithms, particularly transformer models and GANs
  • Data management skills using SQL, Hadoop, or Spark for handling big data in finance
  • Analytical mindset for deriving insights from unstructured financial datasets
  • Leadership and team management abilities in agile environments
  • Communication skills for presenting AI strategies to C-suite executives
  • Problem-solving expertise in high-pressure financial scenarios
  • Understanding of ethical AI and bias detection in generative models
  • Familiarity with cloud platforms (AWS, Azure) for scalable AI deployments
  • Project management skills using tools like Jira or Asana for AI initiatives
  • Knowledge of financial modeling and predictive analytics in banking
  • Adaptability to regulatory changes in AI governance
  • Collaboration skills for interdisciplinary teams in a corporate setting
  • Innovation drive to pioneer AI solutions in predictive science

Benefits

  • Competitive base salary and performance-based bonuses aligned with JP Morgan Chase's total rewards philosophy
  • Comprehensive health, dental, and vision insurance with low employee premiums and extensive coverage options
  • 401(k) retirement savings plan with generous company matching contributions up to 6% of eligible pay
  • Paid time off including vacation, sick days, and parental leave, plus flexible work arrangements
  • Professional development programs, including tuition reimbursement for advanced AI and finance certifications
  • Employee stock purchase plan and access to financial wellness resources tailored to banking professionals
  • On-site fitness centers, wellness stipends, and mental health support through JP Morgan's employee assistance program
  • Global mobility opportunities within JP Morgan Chase's international network

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

450,000 - 800,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Python, R, and frameworks like TensorFlow, PyTorch for generative AI developmentintermediate
  • Expertise in natural language processing (NLP) and computer vision for financial data applicationsintermediate
  • Strong knowledge of machine learning algorithms, particularly transformer models and GANsintermediate
  • Data management skills using SQL, Hadoop, or Spark for handling big data in financeintermediate
  • Analytical mindset for deriving insights from unstructured financial datasetsintermediate
  • Leadership and team management abilities in agile environmentsintermediate
  • Communication skills for presenting AI strategies to C-suite executivesintermediate
  • Problem-solving expertise in high-pressure financial scenariosintermediate
  • Understanding of ethical AI and bias detection in generative modelsintermediate
  • Familiarity with cloud platforms (AWS, Azure) for scalable AI deploymentsintermediate
  • Project management skills using tools like Jira or Asana for AI initiativesintermediate
  • Knowledge of financial modeling and predictive analytics in bankingintermediate
  • Adaptability to regulatory changes in AI governanceintermediate
  • Collaboration skills for interdisciplinary teams in a corporate settingintermediate
  • Innovation drive to pioneer AI solutions in predictive scienceintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field; advanced degree (Master's or PhD) strongly preferred (experience)
  • 10+ years of experience in AI/ML, with at least 5 years focused on generative AI technologies such as large language models (LLMs) and diffusion models (experience)
  • Proven track record in leading AI initiatives within the financial services industry, including risk management, fraud detection, or personalized banking solutions (experience)
  • Deep expertise in data management, analytics, and deriving actionable insights from complex datasets in a regulated environment (experience)
  • Experience managing cross-functional teams in a high-stakes corporate setting, with a focus on promoting data-driven decision-making (experience)
  • Strong understanding of financial regulations such as GDPR, CCPA, and SEC guidelines as they apply to AI and data privacy (experience)
  • Ability to communicate complex technical concepts to non-technical stakeholders, including senior executives (experience)

Preferred Qualifications

  • Experience with JP Morgan Chase's internal AI frameworks or similar enterprise-scale AI platforms (experience)
  • Publications or contributions to generative AI research in financial applications, such as predictive modeling for market trends (experience)
  • Certification in AI ethics or responsible AI practices from recognized bodies like IEEE or Coursera (experience)
  • Prior leadership role in a global financial institution, managing AI projects with budgets exceeding $5M (experience)
  • Familiarity with cloud-based AI services like AWS SageMaker, Google Cloud AI, or Azure AI tailored to finance (experience)

Responsibilities

  • Lead the development and deployment of generative AI solutions to enhance data analytics and predictive modeling within JP Morgan Chase's Data and Analytics team
  • Oversee the management of large-scale datasets, ensuring data quality, security, and compliance with financial industry standards
  • Conduct advanced analytics using generative AI to uncover insights that drive impactful business decisions in areas like investment banking and asset management
  • Collaborate with cross-functional teams, including data scientists, engineers, and business leaders, to integrate AI into core financial services operations
  • Promote ethical AI practices, mitigating biases in generative models and ensuring alignment with JP Morgan's commitment to responsible innovation
  • Mentor and develop a team of AI specialists, fostering a culture of innovation in predictive science applications
  • Evaluate and implement emerging generative AI technologies to optimize processes such as customer personalization and risk assessment
  • Monitor AI model performance and iterate on strategies to improve accuracy and efficiency in financial forecasting
  • Represent the team in executive discussions, translating AI capabilities into strategic advantages for JP Morgan Chase
  • Stay abreast of industry trends in generative AI and predictive analytics, advising on their application to competitive financial services challenges

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with JP Morgan Chase's total rewards philosophy
  • general: Comprehensive health, dental, and vision insurance with low employee premiums and extensive coverage options
  • general: 401(k) retirement savings plan with generous company matching contributions up to 6% of eligible pay
  • general: Paid time off including vacation, sick days, and parental leave, plus flexible work arrangements
  • general: Professional development programs, including tuition reimbursement for advanced AI and finance certifications
  • general: Employee stock purchase plan and access to financial wellness resources tailored to banking professionals
  • general: On-site fitness centers, wellness stipends, and mental health support through JP Morgan's employee assistance program
  • general: Global mobility opportunities within JP Morgan Chase's international network

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JP Morgan Chase logo

Generative AI Executive Director

JP Morgan Chase

Software and Technology Jobs

Generative AI Executive Director

full-timePosted: Nov 19, 2025

Job Description

Generative AI Executive Director

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging cutting-edge technology to transform the financial services landscape. As a Generative AI Executive Director in our Data and Analytics team, you will play a pivotal role in harnessing generative AI to manage vast datasets, conduct sophisticated analytics, and empower data-driven decisions that shape our global operations. Based in the heart of New York, NY, this position within our Predictive Science category offers the opportunity to lead innovative projects that enhance everything from fraud detection to personalized client experiences in investment banking and consumer finance. You will collaborate with top-tier talent to deploy AI solutions that not only drive efficiency but also uphold our commitment to ethical innovation and regulatory compliance in a dynamic industry. In this executive leadership role, your responsibilities will span strategic oversight and hands-on technical guidance. You will spearhead the integration of generative AI models, such as advanced LLMs, into our predictive analytics frameworks to forecast market trends and optimize risk management. Expect to manage end-to-end data pipelines, ensuring robust governance and security for sensitive financial information, while fostering a culture of insightful analytics that translates into tangible business impacts. Working closely with stakeholders across divisions, you will champion AI initiatives that align with JP Morgan Chase's mission to deliver superior value to clients worldwide, all while navigating the complexities of financial regulations like Dodd-Frank and data privacy laws. We seek a visionary leader passionate about the intersection of AI and finance, with a proven ability to inspire teams and innovate under pressure. This role demands not only technical acumen in generative AI but also a deep understanding of how these technologies can revolutionize predictive science in banking. Join JP Morgan Chase to contribute to groundbreaking advancements that redefine financial services, supported by our world-class resources and a collaborative environment that values diversity and inclusion. If you are ready to drive the future of AI at one of the world's leading financial institutions, this is your opportunity to make a lasting impact.

Key Responsibilities

  • Lead the development and deployment of generative AI solutions to enhance data analytics and predictive modeling within JP Morgan Chase's Data and Analytics team
  • Oversee the management of large-scale datasets, ensuring data quality, security, and compliance with financial industry standards
  • Conduct advanced analytics using generative AI to uncover insights that drive impactful business decisions in areas like investment banking and asset management
  • Collaborate with cross-functional teams, including data scientists, engineers, and business leaders, to integrate AI into core financial services operations
  • Promote ethical AI practices, mitigating biases in generative models and ensuring alignment with JP Morgan's commitment to responsible innovation
  • Mentor and develop a team of AI specialists, fostering a culture of innovation in predictive science applications
  • Evaluate and implement emerging generative AI technologies to optimize processes such as customer personalization and risk assessment
  • Monitor AI model performance and iterate on strategies to improve accuracy and efficiency in financial forecasting
  • Represent the team in executive discussions, translating AI capabilities into strategic advantages for JP Morgan Chase
  • Stay abreast of industry trends in generative AI and predictive analytics, advising on their application to competitive financial services challenges

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field; advanced degree (Master's or PhD) strongly preferred
  • 10+ years of experience in AI/ML, with at least 5 years focused on generative AI technologies such as large language models (LLMs) and diffusion models
  • Proven track record in leading AI initiatives within the financial services industry, including risk management, fraud detection, or personalized banking solutions
  • Deep expertise in data management, analytics, and deriving actionable insights from complex datasets in a regulated environment
  • Experience managing cross-functional teams in a high-stakes corporate setting, with a focus on promoting data-driven decision-making
  • Strong understanding of financial regulations such as GDPR, CCPA, and SEC guidelines as they apply to AI and data privacy
  • Ability to communicate complex technical concepts to non-technical stakeholders, including senior executives

Preferred Qualifications

  • Experience with JP Morgan Chase's internal AI frameworks or similar enterprise-scale AI platforms
  • Publications or contributions to generative AI research in financial applications, such as predictive modeling for market trends
  • Certification in AI ethics or responsible AI practices from recognized bodies like IEEE or Coursera
  • Prior leadership role in a global financial institution, managing AI projects with budgets exceeding $5M
  • Familiarity with cloud-based AI services like AWS SageMaker, Google Cloud AI, or Azure AI tailored to finance

Required Skills

  • Proficiency in Python, R, and frameworks like TensorFlow, PyTorch for generative AI development
  • Expertise in natural language processing (NLP) and computer vision for financial data applications
  • Strong knowledge of machine learning algorithms, particularly transformer models and GANs
  • Data management skills using SQL, Hadoop, or Spark for handling big data in finance
  • Analytical mindset for deriving insights from unstructured financial datasets
  • Leadership and team management abilities in agile environments
  • Communication skills for presenting AI strategies to C-suite executives
  • Problem-solving expertise in high-pressure financial scenarios
  • Understanding of ethical AI and bias detection in generative models
  • Familiarity with cloud platforms (AWS, Azure) for scalable AI deployments
  • Project management skills using tools like Jira or Asana for AI initiatives
  • Knowledge of financial modeling and predictive analytics in banking
  • Adaptability to regulatory changes in AI governance
  • Collaboration skills for interdisciplinary teams in a corporate setting
  • Innovation drive to pioneer AI solutions in predictive science

Benefits

  • Competitive base salary and performance-based bonuses aligned with JP Morgan Chase's total rewards philosophy
  • Comprehensive health, dental, and vision insurance with low employee premiums and extensive coverage options
  • 401(k) retirement savings plan with generous company matching contributions up to 6% of eligible pay
  • Paid time off including vacation, sick days, and parental leave, plus flexible work arrangements
  • Professional development programs, including tuition reimbursement for advanced AI and finance certifications
  • Employee stock purchase plan and access to financial wellness resources tailored to banking professionals
  • On-site fitness centers, wellness stipends, and mental health support through JP Morgan's employee assistance program
  • Global mobility opportunities within JP Morgan Chase's international network

JP Morgan Chase is an equal opportunity employer.

Locations

  • New York, US

Salary

Estimated Salary Rangehigh confidence

450,000 - 800,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Python, R, and frameworks like TensorFlow, PyTorch for generative AI developmentintermediate
  • Expertise in natural language processing (NLP) and computer vision for financial data applicationsintermediate
  • Strong knowledge of machine learning algorithms, particularly transformer models and GANsintermediate
  • Data management skills using SQL, Hadoop, or Spark for handling big data in financeintermediate
  • Analytical mindset for deriving insights from unstructured financial datasetsintermediate
  • Leadership and team management abilities in agile environmentsintermediate
  • Communication skills for presenting AI strategies to C-suite executivesintermediate
  • Problem-solving expertise in high-pressure financial scenariosintermediate
  • Understanding of ethical AI and bias detection in generative modelsintermediate
  • Familiarity with cloud platforms (AWS, Azure) for scalable AI deploymentsintermediate
  • Project management skills using tools like Jira or Asana for AI initiativesintermediate
  • Knowledge of financial modeling and predictive analytics in bankingintermediate
  • Adaptability to regulatory changes in AI governanceintermediate
  • Collaboration skills for interdisciplinary teams in a corporate settingintermediate
  • Innovation drive to pioneer AI solutions in predictive scienceintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field; advanced degree (Master's or PhD) strongly preferred (experience)
  • 10+ years of experience in AI/ML, with at least 5 years focused on generative AI technologies such as large language models (LLMs) and diffusion models (experience)
  • Proven track record in leading AI initiatives within the financial services industry, including risk management, fraud detection, or personalized banking solutions (experience)
  • Deep expertise in data management, analytics, and deriving actionable insights from complex datasets in a regulated environment (experience)
  • Experience managing cross-functional teams in a high-stakes corporate setting, with a focus on promoting data-driven decision-making (experience)
  • Strong understanding of financial regulations such as GDPR, CCPA, and SEC guidelines as they apply to AI and data privacy (experience)
  • Ability to communicate complex technical concepts to non-technical stakeholders, including senior executives (experience)

Preferred Qualifications

  • Experience with JP Morgan Chase's internal AI frameworks or similar enterprise-scale AI platforms (experience)
  • Publications or contributions to generative AI research in financial applications, such as predictive modeling for market trends (experience)
  • Certification in AI ethics or responsible AI practices from recognized bodies like IEEE or Coursera (experience)
  • Prior leadership role in a global financial institution, managing AI projects with budgets exceeding $5M (experience)
  • Familiarity with cloud-based AI services like AWS SageMaker, Google Cloud AI, or Azure AI tailored to finance (experience)

Responsibilities

  • Lead the development and deployment of generative AI solutions to enhance data analytics and predictive modeling within JP Morgan Chase's Data and Analytics team
  • Oversee the management of large-scale datasets, ensuring data quality, security, and compliance with financial industry standards
  • Conduct advanced analytics using generative AI to uncover insights that drive impactful business decisions in areas like investment banking and asset management
  • Collaborate with cross-functional teams, including data scientists, engineers, and business leaders, to integrate AI into core financial services operations
  • Promote ethical AI practices, mitigating biases in generative models and ensuring alignment with JP Morgan's commitment to responsible innovation
  • Mentor and develop a team of AI specialists, fostering a culture of innovation in predictive science applications
  • Evaluate and implement emerging generative AI technologies to optimize processes such as customer personalization and risk assessment
  • Monitor AI model performance and iterate on strategies to improve accuracy and efficiency in financial forecasting
  • Represent the team in executive discussions, translating AI capabilities into strategic advantages for JP Morgan Chase
  • Stay abreast of industry trends in generative AI and predictive analytics, advising on their application to competitive financial services challenges

Benefits

  • general: Competitive base salary and performance-based bonuses aligned with JP Morgan Chase's total rewards philosophy
  • general: Comprehensive health, dental, and vision insurance with low employee premiums and extensive coverage options
  • general: 401(k) retirement savings plan with generous company matching contributions up to 6% of eligible pay
  • general: Paid time off including vacation, sick days, and parental leave, plus flexible work arrangements
  • general: Professional development programs, including tuition reimbursement for advanced AI and finance certifications
  • general: Employee stock purchase plan and access to financial wellness resources tailored to banking professionals
  • general: On-site fitness centers, wellness stipends, and mental health support through JP Morgan's employee assistance program
  • general: Global mobility opportunities within JP Morgan Chase's international network

Target Your Resume for "Generative AI Executive Director" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Generative AI Executive Director. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Generative AI Executive Director" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Predictive ScienceFinancial ServicesBankingJP MorganPredictive Science

Answer 10 quick questions to check your fit for Generative AI Executive Director @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.