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AI/ML Model Business Casing Team Lead, Vice President

JP Morgan Chase

AI/ML Model Business Casing Team Lead, Vice President

JP Morgan Chase logo

JP Morgan Chase

full-time

Posted: December 10, 2025

Number of Vacancies: 1

Job Description

AI/ML Model Business Casing Team Lead, Vice President

Location: Columbus, OH, United States

Job Family: Financial Analysis

About the Role

At JP Morgan Chase, we are at the forefront of leveraging Artificial Intelligence and Machine Learning to transform the financial services landscape, driving innovation in areas like personalized banking, fraud prevention, and market predictions. As the AI/ML Model Business Casing Team Lead, Vice President, you will spearhead a dynamic team responsible for valuing and prioritizing AI/ML models, enabling our leadership to make data-driven decisions that enhance efficiency and profitability. Based in our Columbus, OH hub, this role offers the opportunity to influence firm-wide strategies while working in a collaborative, high-impact environment that values innovation and excellence. In this leadership position, you will guide your team in crafting robust business cases that quantify the value of AI/ML initiatives, from initial concept to deployment. This involves collaborating closely with data scientists, engineers, and business units across Consumer & Community Banking, Corporate & Investment Bank, and Commercial Banking to assess model feasibility, financial viability, and alignment with regulatory standards. You will develop methodologies for ROI analysis, cost-benefit evaluations, and scenario planning, ensuring that our AI/ML investments deliver sustainable competitive advantages in a rapidly evolving industry. Key to success in this role is your ability to bridge technical AI/ML concepts with financial acumen, presenting compelling narratives to executive stakeholders that highlight strategic opportunities and mitigate potential risks. You will mentor a talented team, fostering a culture of continuous learning and innovation, while staying abreast of emerging technologies and compliance requirements such as those from the Federal Reserve or SEC. Join JP Morgan Chase to lead transformative projects that shape the future of finance, contributing to our mission of powering the progress of individuals and communities worldwide.

Key Responsibilities

  • Lead a team of analysts in developing comprehensive business cases for AI/ML models, evaluating potential ROI, costs, and strategic alignment
  • Collaborate with AI/ML engineers, data scientists, and business stakeholders to prioritize high-impact use cases across JP Morgan Chase's lines of business
  • Conduct financial valuations of AI/ML models, incorporating factors like implementation costs, scalability, and risk-adjusted returns
  • Provide strategic recommendations to senior leadership on model adoption, ensuring alignment with firm-wide priorities in areas like consumer banking and investment management
  • Oversee the creation of detailed reports and presentations that articulate the business value of AI/ML initiatives to C-suite executives
  • Monitor and refine business casing methodologies to adapt to evolving regulatory landscapes and technological advancements
  • Foster a collaborative team environment, mentoring junior staff on financial analysis and AI/ML best practices
  • Identify and mitigate risks associated with AI/ML model deployment, including data privacy and model explainability
  • Drive cross-functional partnerships with technology, risk, and compliance teams to ensure seamless integration of AI/ML solutions
  • Track key performance metrics for deployed models and update business cases based on real-world outcomes

Required Qualifications

  • Bachelor's degree in Finance, Economics, Computer Science, Data Science, or a related quantitative field; advanced degree (Master's or PhD) preferred
  • 8+ years of experience in financial modeling, AI/ML valuation, or business casing within the financial services industry
  • Proven leadership experience managing cross-functional teams in a high-stakes banking environment
  • Deep understanding of AI/ML technologies and their applications in risk management, fraud detection, and investment decision-making
  • Strong proficiency in financial analysis tools and methodologies, including discounted cash flow (DCF) modeling and ROI calculations
  • Experience with regulatory compliance in AI/ML models, such as those governed by OCC, FDIC, or Basel III frameworks
  • Excellent communication skills with the ability to present complex technical concepts to senior executives

Preferred Qualifications

  • MBA or CFA certification with a focus on quantitative finance
  • Prior experience at a major financial institution like JP Morgan Chase, leading AI/ML initiatives
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn in a production environment
  • Knowledge of ethical AI practices and bias mitigation in financial models
  • Track record of delivering AI/ML projects that drive measurable business value in banking operations

Required Skills

  • AI/ML model valuation and business casing expertise
  • Financial modeling and forecasting
  • Leadership and team management
  • Data analysis and quantitative reasoning
  • Python or R programming for financial simulations
  • Knowledge of machine learning algorithms (e.g., regression, neural networks)
  • Regulatory compliance in financial services
  • Stakeholder communication and presentation skills
  • Project management and agile methodologies
  • Risk assessment and mitigation
  • Strategic thinking and prioritization
  • Proficiency in tools like Excel, Tableau, or Power BI
  • Understanding of banking operations and fintech trends
  • Ethical AI and bias detection
  • Cross-functional collaboration

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, such as tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and other financial wellness benefits
  • Wellness programs including gym memberships and mental health support
  • Flexible work arrangements and hybrid options in Columbus, OH

JP Morgan Chase is an equal opportunity employer.

Locations

  • Columbus, US

Salary

Estimated Salary Rangehigh confidence

300,000 - 500,000 USD / yearly

Source: ai estimated

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

Skills Required

  • AI/ML model valuation and business casing expertiseintermediate
  • Financial modeling and forecastingintermediate
  • Leadership and team managementintermediate
  • Data analysis and quantitative reasoningintermediate
  • Python or R programming for financial simulationsintermediate
  • Knowledge of machine learning algorithms (e.g., regression, neural networks)intermediate
  • Regulatory compliance in financial servicesintermediate
  • Stakeholder communication and presentation skillsintermediate
  • Project management and agile methodologiesintermediate
  • Risk assessment and mitigationintermediate
  • Strategic thinking and prioritizationintermediate
  • Proficiency in tools like Excel, Tableau, or Power BIintermediate
  • Understanding of banking operations and fintech trendsintermediate
  • Ethical AI and bias detectionintermediate
  • Cross-functional collaborationintermediate

Required Qualifications

  • Bachelor's degree in Finance, Economics, Computer Science, Data Science, or a related quantitative field; advanced degree (Master's or PhD) preferred (experience)
  • 8+ years of experience in financial modeling, AI/ML valuation, or business casing within the financial services industry (experience)
  • Proven leadership experience managing cross-functional teams in a high-stakes banking environment (experience)
  • Deep understanding of AI/ML technologies and their applications in risk management, fraud detection, and investment decision-making (experience)
  • Strong proficiency in financial analysis tools and methodologies, including discounted cash flow (DCF) modeling and ROI calculations (experience)
  • Experience with regulatory compliance in AI/ML models, such as those governed by OCC, FDIC, or Basel III frameworks (experience)
  • Excellent communication skills with the ability to present complex technical concepts to senior executives (experience)

Preferred Qualifications

  • MBA or CFA certification with a focus on quantitative finance (experience)
  • Prior experience at a major financial institution like JP Morgan Chase, leading AI/ML initiatives (experience)
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn in a production environment (experience)
  • Knowledge of ethical AI practices and bias mitigation in financial models (experience)
  • Track record of delivering AI/ML projects that drive measurable business value in banking operations (experience)

Responsibilities

  • Lead a team of analysts in developing comprehensive business cases for AI/ML models, evaluating potential ROI, costs, and strategic alignment
  • Collaborate with AI/ML engineers, data scientists, and business stakeholders to prioritize high-impact use cases across JP Morgan Chase's lines of business
  • Conduct financial valuations of AI/ML models, incorporating factors like implementation costs, scalability, and risk-adjusted returns
  • Provide strategic recommendations to senior leadership on model adoption, ensuring alignment with firm-wide priorities in areas like consumer banking and investment management
  • Oversee the creation of detailed reports and presentations that articulate the business value of AI/ML initiatives to C-suite executives
  • Monitor and refine business casing methodologies to adapt to evolving regulatory landscapes and technological advancements
  • Foster a collaborative team environment, mentoring junior staff on financial analysis and AI/ML best practices
  • Identify and mitigate risks associated with AI/ML model deployment, including data privacy and model explainability
  • Drive cross-functional partnerships with technology, risk, and compliance teams to ensure seamless integration of AI/ML solutions
  • Track key performance metrics for deployed models and update business cases based on real-world outcomes

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, such as tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and other financial wellness benefits
  • general: Wellness programs including gym memberships and mental health support
  • general: Flexible work arrangements and hybrid options in Columbus, OH

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JP Morgan Chase logo

AI/ML Model Business Casing Team Lead, Vice President

JP Morgan Chase

AI/ML Model Business Casing Team Lead, Vice President

JP Morgan Chase logo

JP Morgan Chase

full-time

Posted: December 10, 2025

Number of Vacancies: 1

Job Description

AI/ML Model Business Casing Team Lead, Vice President

Location: Columbus, OH, United States

Job Family: Financial Analysis

About the Role

At JP Morgan Chase, we are at the forefront of leveraging Artificial Intelligence and Machine Learning to transform the financial services landscape, driving innovation in areas like personalized banking, fraud prevention, and market predictions. As the AI/ML Model Business Casing Team Lead, Vice President, you will spearhead a dynamic team responsible for valuing and prioritizing AI/ML models, enabling our leadership to make data-driven decisions that enhance efficiency and profitability. Based in our Columbus, OH hub, this role offers the opportunity to influence firm-wide strategies while working in a collaborative, high-impact environment that values innovation and excellence. In this leadership position, you will guide your team in crafting robust business cases that quantify the value of AI/ML initiatives, from initial concept to deployment. This involves collaborating closely with data scientists, engineers, and business units across Consumer & Community Banking, Corporate & Investment Bank, and Commercial Banking to assess model feasibility, financial viability, and alignment with regulatory standards. You will develop methodologies for ROI analysis, cost-benefit evaluations, and scenario planning, ensuring that our AI/ML investments deliver sustainable competitive advantages in a rapidly evolving industry. Key to success in this role is your ability to bridge technical AI/ML concepts with financial acumen, presenting compelling narratives to executive stakeholders that highlight strategic opportunities and mitigate potential risks. You will mentor a talented team, fostering a culture of continuous learning and innovation, while staying abreast of emerging technologies and compliance requirements such as those from the Federal Reserve or SEC. Join JP Morgan Chase to lead transformative projects that shape the future of finance, contributing to our mission of powering the progress of individuals and communities worldwide.

Key Responsibilities

  • Lead a team of analysts in developing comprehensive business cases for AI/ML models, evaluating potential ROI, costs, and strategic alignment
  • Collaborate with AI/ML engineers, data scientists, and business stakeholders to prioritize high-impact use cases across JP Morgan Chase's lines of business
  • Conduct financial valuations of AI/ML models, incorporating factors like implementation costs, scalability, and risk-adjusted returns
  • Provide strategic recommendations to senior leadership on model adoption, ensuring alignment with firm-wide priorities in areas like consumer banking and investment management
  • Oversee the creation of detailed reports and presentations that articulate the business value of AI/ML initiatives to C-suite executives
  • Monitor and refine business casing methodologies to adapt to evolving regulatory landscapes and technological advancements
  • Foster a collaborative team environment, mentoring junior staff on financial analysis and AI/ML best practices
  • Identify and mitigate risks associated with AI/ML model deployment, including data privacy and model explainability
  • Drive cross-functional partnerships with technology, risk, and compliance teams to ensure seamless integration of AI/ML solutions
  • Track key performance metrics for deployed models and update business cases based on real-world outcomes

Required Qualifications

  • Bachelor's degree in Finance, Economics, Computer Science, Data Science, or a related quantitative field; advanced degree (Master's or PhD) preferred
  • 8+ years of experience in financial modeling, AI/ML valuation, or business casing within the financial services industry
  • Proven leadership experience managing cross-functional teams in a high-stakes banking environment
  • Deep understanding of AI/ML technologies and their applications in risk management, fraud detection, and investment decision-making
  • Strong proficiency in financial analysis tools and methodologies, including discounted cash flow (DCF) modeling and ROI calculations
  • Experience with regulatory compliance in AI/ML models, such as those governed by OCC, FDIC, or Basel III frameworks
  • Excellent communication skills with the ability to present complex technical concepts to senior executives

Preferred Qualifications

  • MBA or CFA certification with a focus on quantitative finance
  • Prior experience at a major financial institution like JP Morgan Chase, leading AI/ML initiatives
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn in a production environment
  • Knowledge of ethical AI practices and bias mitigation in financial models
  • Track record of delivering AI/ML projects that drive measurable business value in banking operations

Required Skills

  • AI/ML model valuation and business casing expertise
  • Financial modeling and forecasting
  • Leadership and team management
  • Data analysis and quantitative reasoning
  • Python or R programming for financial simulations
  • Knowledge of machine learning algorithms (e.g., regression, neural networks)
  • Regulatory compliance in financial services
  • Stakeholder communication and presentation skills
  • Project management and agile methodologies
  • Risk assessment and mitigation
  • Strategic thinking and prioritization
  • Proficiency in tools like Excel, Tableau, or Power BI
  • Understanding of banking operations and fintech trends
  • Ethical AI and bias detection
  • Cross-functional collaboration

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off, including vacation, sick days, and parental leave
  • Professional development opportunities, such as tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and other financial wellness benefits
  • Wellness programs including gym memberships and mental health support
  • Flexible work arrangements and hybrid options in Columbus, OH

JP Morgan Chase is an equal opportunity employer.

Locations

  • Columbus, US

Salary

Estimated Salary Rangehigh confidence

300,000 - 500,000 USD / yearly

Source: ai estimated

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

Skills Required

  • AI/ML model valuation and business casing expertiseintermediate
  • Financial modeling and forecastingintermediate
  • Leadership and team managementintermediate
  • Data analysis and quantitative reasoningintermediate
  • Python or R programming for financial simulationsintermediate
  • Knowledge of machine learning algorithms (e.g., regression, neural networks)intermediate
  • Regulatory compliance in financial servicesintermediate
  • Stakeholder communication and presentation skillsintermediate
  • Project management and agile methodologiesintermediate
  • Risk assessment and mitigationintermediate
  • Strategic thinking and prioritizationintermediate
  • Proficiency in tools like Excel, Tableau, or Power BIintermediate
  • Understanding of banking operations and fintech trendsintermediate
  • Ethical AI and bias detectionintermediate
  • Cross-functional collaborationintermediate

Required Qualifications

  • Bachelor's degree in Finance, Economics, Computer Science, Data Science, or a related quantitative field; advanced degree (Master's or PhD) preferred (experience)
  • 8+ years of experience in financial modeling, AI/ML valuation, or business casing within the financial services industry (experience)
  • Proven leadership experience managing cross-functional teams in a high-stakes banking environment (experience)
  • Deep understanding of AI/ML technologies and their applications in risk management, fraud detection, and investment decision-making (experience)
  • Strong proficiency in financial analysis tools and methodologies, including discounted cash flow (DCF) modeling and ROI calculations (experience)
  • Experience with regulatory compliance in AI/ML models, such as those governed by OCC, FDIC, or Basel III frameworks (experience)
  • Excellent communication skills with the ability to present complex technical concepts to senior executives (experience)

Preferred Qualifications

  • MBA or CFA certification with a focus on quantitative finance (experience)
  • Prior experience at a major financial institution like JP Morgan Chase, leading AI/ML initiatives (experience)
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn in a production environment (experience)
  • Knowledge of ethical AI practices and bias mitigation in financial models (experience)
  • Track record of delivering AI/ML projects that drive measurable business value in banking operations (experience)

Responsibilities

  • Lead a team of analysts in developing comprehensive business cases for AI/ML models, evaluating potential ROI, costs, and strategic alignment
  • Collaborate with AI/ML engineers, data scientists, and business stakeholders to prioritize high-impact use cases across JP Morgan Chase's lines of business
  • Conduct financial valuations of AI/ML models, incorporating factors like implementation costs, scalability, and risk-adjusted returns
  • Provide strategic recommendations to senior leadership on model adoption, ensuring alignment with firm-wide priorities in areas like consumer banking and investment management
  • Oversee the creation of detailed reports and presentations that articulate the business value of AI/ML initiatives to C-suite executives
  • Monitor and refine business casing methodologies to adapt to evolving regulatory landscapes and technological advancements
  • Foster a collaborative team environment, mentoring junior staff on financial analysis and AI/ML best practices
  • Identify and mitigate risks associated with AI/ML model deployment, including data privacy and model explainability
  • Drive cross-functional partnerships with technology, risk, and compliance teams to ensure seamless integration of AI/ML solutions
  • Track key performance metrics for deployed models and update business cases based on real-world outcomes

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off, including vacation, sick days, and parental leave
  • general: Professional development opportunities, such as tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and other financial wellness benefits
  • general: Wellness programs including gym memberships and mental health support
  • general: Flexible work arrangements and hybrid options in Columbus, OH

Target Your Resume for "AI/ML Model Business Casing Team Lead, Vice President" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for AI/ML Model Business Casing Team Lead, Vice President. Takes only 15 seconds!

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

Check Your ATS Score for "AI/ML Model Business Casing Team Lead, Vice President" , 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

Financial AnalysisFinancial ServicesBankingJP MorganFinancial Analysis

Related Jobs You May Like

No related jobs found at the moment.