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Vice President-Applied AI/ML Lead

JP Morgan Chase

Software and Technology Jobs

Vice President-Applied AI/ML Lead

full-timePosted: Nov 6, 2025

Job Description

Vice President-Applied AI/ML Lead

Location: Jersey City, NJ, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of leveraging technology to redefine financial services, and our Applied AI/ML team is central to this mission. As a Vice President - Applied AI/ML Lead in our Predictive Science category, you will spearhead innovative AI solutions to revolutionize document management. Based in Jersey City, NJ, you will design and deploy advanced machine learning models that extract and manage critical information from vast volumes of financial documents, enhancing efficiency in areas like compliance, risk management, and client servicing. This role offers the opportunity to lead transformative projects that directly impact our global operations, working with cutting-edge tools to turn unstructured data into strategic assets for one of the world's largest financial institutions. Your leadership will involve guiding a team of talented AI professionals to build scalable, production-ready AI systems tailored to the complexities of the financial industry. You will collaborate closely with business leaders across investment banking, consumer banking, and asset management to identify high-impact use cases, such as automating regulatory filings or streamlining contract analysis. Emphasizing ethical AI practices, you will ensure all solutions comply with stringent regulations like those from the SEC and FINRA, while mitigating biases to support fair financial decision-making. This position demands a blend of technical expertise and strategic vision to drive JPMorgan Chase's AI innovation agenda forward. Joining JPMorgan Chase means becoming part of a dynamic culture that values diversity, inclusion, and continuous learning. You will have access to world-class resources, including our state-of-the-art AI research labs and partnerships with leading tech firms. This role not only challenges you to push the boundaries of applied AI in finance but also offers robust career growth opportunities within a firm committed to sustainable and responsible banking. If you are passionate about using AI to solve real-world financial challenges, this is your chance to make a lasting impact.

Key Responsibilities

  • Lead the design, development, and deployment of AI/ML solutions for document management and information extraction in JPMorgan Chase's financial operations
  • Innovate predictive models to automate the transformation of unstructured data into actionable insights for risk assessment and compliance
  • Collaborate with business units to identify AI opportunities in areas like loan processing, trade finance, and regulatory reporting
  • Oversee a team of AI/ML engineers, mentoring on best practices for model training, validation, and ethical AI deployment
  • Ensure AI solutions adhere to JPMorgan's risk management frameworks and financial industry standards
  • Integrate AI models with existing enterprise systems, optimizing for scalability and performance in high-volume financial workflows
  • Conduct research on emerging AI technologies to enhance document intelligence capabilities
  • Monitor and iterate on deployed models to maintain accuracy and adapt to evolving financial data landscapes
  • Present AI strategy and outcomes to senior leadership, driving adoption across Chase's global operations
  • Contribute to the firm's AI governance, focusing on bias mitigation and explainable AI in financial decision-making

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related quantitative field
  • 5+ years of experience in applied AI/ML, with a focus on natural language processing (NLP) and information extraction
  • Proven track record of leading AI/ML projects in financial services or regulated industries
  • Strong programming skills in Python, Java, or Scala, with experience in ML frameworks like TensorFlow or PyTorch
  • Experience with deploying AI models at scale in cloud environments such as AWS, Azure, or GCP
  • Knowledge of data privacy regulations like GDPR and financial compliance standards (e.g., SEC, FINRA)
  • Ability to collaborate with cross-functional teams including data scientists, engineers, and business stakeholders

Preferred Qualifications

  • PhD in AI, ML, or related field
  • Experience in document AI for financial documents such as contracts, invoices, or regulatory filings
  • Familiarity with JPMorgan Chase's internal tools and platforms for AI development
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning or Google Professional ML Engineer)
  • Prior leadership role in agile teams delivering AI solutions in banking or fintech

Required Skills

  • Expertise in machine learning algorithms, particularly for NLP and computer vision in document processing
  • Proficiency in Python and ML libraries (e.g., scikit-learn, Hugging Face Transformers)
  • Experience with big data technologies like Hadoop, Spark, or Kafka for handling financial datasets
  • Knowledge of cloud-based AI services (e.g., AWS SageMaker, Google AI Platform)
  • Strong understanding of financial domain concepts such as KYC, AML, and fraud detection
  • Leadership and team management skills for guiding cross-functional projects
  • Analytical problem-solving with a focus on data-driven decision making
  • Communication skills for explaining complex AI concepts to non-technical stakeholders
  • Agile methodologies and DevOps practices for rapid AI deployment
  • Ethical AI principles, including fairness, transparency, and regulatory compliance
  • SQL and database management for querying structured financial data
  • Version control with Git and CI/CD pipelines for ML workflows
  • Risk assessment skills tailored to financial services AI applications
  • Project management tools like Jira or Confluence for tracking initiatives
  • Adaptability to fast-paced environments in global banking operations

Benefits

  • Competitive base salary and performance-based annual bonus
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with company match up to 6%
  • Generous paid time off, including vacation, sick days, and parental leave
  • Professional development programs, including tuition reimbursement and access to JPMorgan's internal training academy
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Relocation assistance for eligible roles and hybrid work flexibility

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, US

Salary

Estimated Salary Rangehigh confidence

350,000 - 650,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Expertise in machine learning algorithms, particularly for NLP and computer vision in document processingintermediate
  • Proficiency in Python and ML libraries (e.g., scikit-learn, Hugging Face Transformers)intermediate
  • Experience with big data technologies like Hadoop, Spark, or Kafka for handling financial datasetsintermediate
  • Knowledge of cloud-based AI services (e.g., AWS SageMaker, Google AI Platform)intermediate
  • Strong understanding of financial domain concepts such as KYC, AML, and fraud detectionintermediate
  • Leadership and team management skills for guiding cross-functional projectsintermediate
  • Analytical problem-solving with a focus on data-driven decision makingintermediate
  • Communication skills for explaining complex AI concepts to non-technical stakeholdersintermediate
  • Agile methodologies and DevOps practices for rapid AI deploymentintermediate
  • Ethical AI principles, including fairness, transparency, and regulatory complianceintermediate
  • SQL and database management for querying structured financial dataintermediate
  • Version control with Git and CI/CD pipelines for ML workflowsintermediate
  • Risk assessment skills tailored to financial services AI applicationsintermediate
  • Project management tools like Jira or Confluence for tracking initiativesintermediate
  • Adaptability to fast-paced environments in global banking operationsintermediate

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related quantitative field (experience)
  • 5+ years of experience in applied AI/ML, with a focus on natural language processing (NLP) and information extraction (experience)
  • Proven track record of leading AI/ML projects in financial services or regulated industries (experience)
  • Strong programming skills in Python, Java, or Scala, with experience in ML frameworks like TensorFlow or PyTorch (experience)
  • Experience with deploying AI models at scale in cloud environments such as AWS, Azure, or GCP (experience)
  • Knowledge of data privacy regulations like GDPR and financial compliance standards (e.g., SEC, FINRA) (experience)
  • Ability to collaborate with cross-functional teams including data scientists, engineers, and business stakeholders (experience)

Preferred Qualifications

  • PhD in AI, ML, or related field (experience)
  • Experience in document AI for financial documents such as contracts, invoices, or regulatory filings (experience)
  • Familiarity with JPMorgan Chase's internal tools and platforms for AI development (experience)
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning or Google Professional ML Engineer) (experience)
  • Prior leadership role in agile teams delivering AI solutions in banking or fintech (experience)

Responsibilities

  • Lead the design, development, and deployment of AI/ML solutions for document management and information extraction in JPMorgan Chase's financial operations
  • Innovate predictive models to automate the transformation of unstructured data into actionable insights for risk assessment and compliance
  • Collaborate with business units to identify AI opportunities in areas like loan processing, trade finance, and regulatory reporting
  • Oversee a team of AI/ML engineers, mentoring on best practices for model training, validation, and ethical AI deployment
  • Ensure AI solutions adhere to JPMorgan's risk management frameworks and financial industry standards
  • Integrate AI models with existing enterprise systems, optimizing for scalability and performance in high-volume financial workflows
  • Conduct research on emerging AI technologies to enhance document intelligence capabilities
  • Monitor and iterate on deployed models to maintain accuracy and adapt to evolving financial data landscapes
  • Present AI strategy and outcomes to senior leadership, driving adoption across Chase's global operations
  • Contribute to the firm's AI governance, focusing on bias mitigation and explainable AI in financial decision-making

Benefits

  • general: Competitive base salary and performance-based annual bonus
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with company match up to 6%
  • general: Generous paid time off, including vacation, sick days, and parental leave
  • general: Professional development programs, including tuition reimbursement and access to JPMorgan's internal training academy
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Relocation assistance for eligible roles and hybrid work flexibility

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JP Morgan Chase logo

Vice President-Applied AI/ML Lead

JP Morgan Chase

Software and Technology Jobs

Vice President-Applied AI/ML Lead

full-timePosted: Nov 6, 2025

Job Description

Vice President-Applied AI/ML Lead

Location: Jersey City, NJ, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of leveraging technology to redefine financial services, and our Applied AI/ML team is central to this mission. As a Vice President - Applied AI/ML Lead in our Predictive Science category, you will spearhead innovative AI solutions to revolutionize document management. Based in Jersey City, NJ, you will design and deploy advanced machine learning models that extract and manage critical information from vast volumes of financial documents, enhancing efficiency in areas like compliance, risk management, and client servicing. This role offers the opportunity to lead transformative projects that directly impact our global operations, working with cutting-edge tools to turn unstructured data into strategic assets for one of the world's largest financial institutions. Your leadership will involve guiding a team of talented AI professionals to build scalable, production-ready AI systems tailored to the complexities of the financial industry. You will collaborate closely with business leaders across investment banking, consumer banking, and asset management to identify high-impact use cases, such as automating regulatory filings or streamlining contract analysis. Emphasizing ethical AI practices, you will ensure all solutions comply with stringent regulations like those from the SEC and FINRA, while mitigating biases to support fair financial decision-making. This position demands a blend of technical expertise and strategic vision to drive JPMorgan Chase's AI innovation agenda forward. Joining JPMorgan Chase means becoming part of a dynamic culture that values diversity, inclusion, and continuous learning. You will have access to world-class resources, including our state-of-the-art AI research labs and partnerships with leading tech firms. This role not only challenges you to push the boundaries of applied AI in finance but also offers robust career growth opportunities within a firm committed to sustainable and responsible banking. If you are passionate about using AI to solve real-world financial challenges, this is your chance to make a lasting impact.

Key Responsibilities

  • Lead the design, development, and deployment of AI/ML solutions for document management and information extraction in JPMorgan Chase's financial operations
  • Innovate predictive models to automate the transformation of unstructured data into actionable insights for risk assessment and compliance
  • Collaborate with business units to identify AI opportunities in areas like loan processing, trade finance, and regulatory reporting
  • Oversee a team of AI/ML engineers, mentoring on best practices for model training, validation, and ethical AI deployment
  • Ensure AI solutions adhere to JPMorgan's risk management frameworks and financial industry standards
  • Integrate AI models with existing enterprise systems, optimizing for scalability and performance in high-volume financial workflows
  • Conduct research on emerging AI technologies to enhance document intelligence capabilities
  • Monitor and iterate on deployed models to maintain accuracy and adapt to evolving financial data landscapes
  • Present AI strategy and outcomes to senior leadership, driving adoption across Chase's global operations
  • Contribute to the firm's AI governance, focusing on bias mitigation and explainable AI in financial decision-making

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related quantitative field
  • 5+ years of experience in applied AI/ML, with a focus on natural language processing (NLP) and information extraction
  • Proven track record of leading AI/ML projects in financial services or regulated industries
  • Strong programming skills in Python, Java, or Scala, with experience in ML frameworks like TensorFlow or PyTorch
  • Experience with deploying AI models at scale in cloud environments such as AWS, Azure, or GCP
  • Knowledge of data privacy regulations like GDPR and financial compliance standards (e.g., SEC, FINRA)
  • Ability to collaborate with cross-functional teams including data scientists, engineers, and business stakeholders

Preferred Qualifications

  • PhD in AI, ML, or related field
  • Experience in document AI for financial documents such as contracts, invoices, or regulatory filings
  • Familiarity with JPMorgan Chase's internal tools and platforms for AI development
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning or Google Professional ML Engineer)
  • Prior leadership role in agile teams delivering AI solutions in banking or fintech

Required Skills

  • Expertise in machine learning algorithms, particularly for NLP and computer vision in document processing
  • Proficiency in Python and ML libraries (e.g., scikit-learn, Hugging Face Transformers)
  • Experience with big data technologies like Hadoop, Spark, or Kafka for handling financial datasets
  • Knowledge of cloud-based AI services (e.g., AWS SageMaker, Google AI Platform)
  • Strong understanding of financial domain concepts such as KYC, AML, and fraud detection
  • Leadership and team management skills for guiding cross-functional projects
  • Analytical problem-solving with a focus on data-driven decision making
  • Communication skills for explaining complex AI concepts to non-technical stakeholders
  • Agile methodologies and DevOps practices for rapid AI deployment
  • Ethical AI principles, including fairness, transparency, and regulatory compliance
  • SQL and database management for querying structured financial data
  • Version control with Git and CI/CD pipelines for ML workflows
  • Risk assessment skills tailored to financial services AI applications
  • Project management tools like Jira or Confluence for tracking initiatives
  • Adaptability to fast-paced environments in global banking operations

Benefits

  • Competitive base salary and performance-based annual bonus
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with company match up to 6%
  • Generous paid time off, including vacation, sick days, and parental leave
  • Professional development programs, including tuition reimbursement and access to JPMorgan's internal training academy
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Relocation assistance for eligible roles and hybrid work flexibility

JP Morgan Chase is an equal opportunity employer.

Locations

  • Jersey City, US

Salary

Estimated Salary Rangehigh confidence

350,000 - 650,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Expertise in machine learning algorithms, particularly for NLP and computer vision in document processingintermediate
  • Proficiency in Python and ML libraries (e.g., scikit-learn, Hugging Face Transformers)intermediate
  • Experience with big data technologies like Hadoop, Spark, or Kafka for handling financial datasetsintermediate
  • Knowledge of cloud-based AI services (e.g., AWS SageMaker, Google AI Platform)intermediate
  • Strong understanding of financial domain concepts such as KYC, AML, and fraud detectionintermediate
  • Leadership and team management skills for guiding cross-functional projectsintermediate
  • Analytical problem-solving with a focus on data-driven decision makingintermediate
  • Communication skills for explaining complex AI concepts to non-technical stakeholdersintermediate
  • Agile methodologies and DevOps practices for rapid AI deploymentintermediate
  • Ethical AI principles, including fairness, transparency, and regulatory complianceintermediate
  • SQL and database management for querying structured financial dataintermediate
  • Version control with Git and CI/CD pipelines for ML workflowsintermediate
  • Risk assessment skills tailored to financial services AI applicationsintermediate
  • Project management tools like Jira or Confluence for tracking initiativesintermediate
  • Adaptability to fast-paced environments in global banking operationsintermediate

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related quantitative field (experience)
  • 5+ years of experience in applied AI/ML, with a focus on natural language processing (NLP) and information extraction (experience)
  • Proven track record of leading AI/ML projects in financial services or regulated industries (experience)
  • Strong programming skills in Python, Java, or Scala, with experience in ML frameworks like TensorFlow or PyTorch (experience)
  • Experience with deploying AI models at scale in cloud environments such as AWS, Azure, or GCP (experience)
  • Knowledge of data privacy regulations like GDPR and financial compliance standards (e.g., SEC, FINRA) (experience)
  • Ability to collaborate with cross-functional teams including data scientists, engineers, and business stakeholders (experience)

Preferred Qualifications

  • PhD in AI, ML, or related field (experience)
  • Experience in document AI for financial documents such as contracts, invoices, or regulatory filings (experience)
  • Familiarity with JPMorgan Chase's internal tools and platforms for AI development (experience)
  • Certifications in AI/ML (e.g., AWS Certified Machine Learning or Google Professional ML Engineer) (experience)
  • Prior leadership role in agile teams delivering AI solutions in banking or fintech (experience)

Responsibilities

  • Lead the design, development, and deployment of AI/ML solutions for document management and information extraction in JPMorgan Chase's financial operations
  • Innovate predictive models to automate the transformation of unstructured data into actionable insights for risk assessment and compliance
  • Collaborate with business units to identify AI opportunities in areas like loan processing, trade finance, and regulatory reporting
  • Oversee a team of AI/ML engineers, mentoring on best practices for model training, validation, and ethical AI deployment
  • Ensure AI solutions adhere to JPMorgan's risk management frameworks and financial industry standards
  • Integrate AI models with existing enterprise systems, optimizing for scalability and performance in high-volume financial workflows
  • Conduct research on emerging AI technologies to enhance document intelligence capabilities
  • Monitor and iterate on deployed models to maintain accuracy and adapt to evolving financial data landscapes
  • Present AI strategy and outcomes to senior leadership, driving adoption across Chase's global operations
  • Contribute to the firm's AI governance, focusing on bias mitigation and explainable AI in financial decision-making

Benefits

  • general: Competitive base salary and performance-based annual bonus
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with company match up to 6%
  • general: Generous paid time off, including vacation, sick days, and parental leave
  • general: Professional development programs, including tuition reimbursement and access to JPMorgan's internal training academy
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Relocation assistance for eligible roles and hybrid work flexibility

Target Your Resume for "Vice President-Applied AI/ML Lead" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Vice President-Applied AI/ML Lead. Takes only 15 seconds!

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

Check Your ATS Score for "Vice President-Applied AI/ML Lead" , 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 Vice President-Applied AI/ML Lead @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.