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Manager of Software Engineering - Data Products

JP Morgan Chase

Software and Technology Jobs

Manager of Software Engineering - Data Products

full-timePosted: Oct 30, 2025

Job Description

Manager of Software Engineering - Data Products

Location: OH, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge data products to power our global operations in investment banking, asset management, and consumer services. As the Manager of Software Engineering - Data Products, you will lead a dynamic agile team in Columbus, OH, responsible for building and scaling data solutions that drive actionable insights for traders, risk managers, and clients. This role combines strategic leadership with hands-on technical expertise, where you will guide the team through the full software development lifecycle while ensuring adherence to stringent financial regulations and security standards. Your work will directly contribute to enhancing our data-driven decision-making, supporting everything from real-time market analytics to personalized client experiences in a highly competitive industry. In this pivotal position, you will manage day-to-day implementation activities, from sprint planning to deployment, while actively participating in coding to architect robust data pipelines and integrate advanced analytics. You will set the overall technical vision, fostering innovation in areas like AI-enhanced risk modeling and scalable cloud-based data platforms. Collaboration is key; you will partner with business units, data governance teams, and external vendors to align engineering efforts with JP Morgan's strategic goals, all while navigating the complexities of financial data privacy and compliance frameworks such as GDPR and SEC requirements. This role demands a balance of technical depth and leadership acumen to inspire your team and deliver high-impact results in a fast-evolving landscape. Joining JP Morgan Chase means being part of a world-class organization committed to your professional growth and work-life balance. We offer opportunities to work on transformative projects that shape the future of finance, with access to top-tier resources and a supportive culture that values diversity and inclusion. If you are passionate about data engineering in the financial services sector and ready to lead with impact, this role provides the platform to advance your career while contributing to our mission of enabling economic growth worldwide.

Key Responsibilities

  • Lead and mentor an agile team of software engineers focused on developing and maintaining data products for JP Morgan Chase's financial services platforms
  • Manage day-to-day implementation activities, including sprint planning, backlog grooming, and delivery timelines
  • Perform hands-on coding to design, build, and optimize scalable data pipelines and analytics solutions
  • Set overall technical guidance and architecture for data products, ensuring alignment with business objectives and regulatory standards
  • Collaborate with cross-functional teams, including data scientists, product managers, and compliance officers, to define requirements and resolve issues
  • Drive innovation in data technologies to enhance risk management, trading analytics, and client reporting capabilities
  • Monitor team performance, conduct code reviews, and implement best practices for secure and efficient software development
  • Identify and mitigate technical risks, ensuring data products meet high availability and performance standards in a 24/7 financial environment
  • Contribute to strategic planning for data initiatives, integrating AI/ML where applicable to support JP Morgan's digital transformation
  • Foster a culture of continuous improvement, providing training and development opportunities for team members

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 7+ years of experience in software engineering, with at least 3 years in a leadership or managerial role
  • Proven track record of leading agile teams in delivering data products within the financial services sector
  • Strong hands-on experience in coding and implementing data solutions using modern programming languages
  • Deep understanding of data management, analytics, and compliance requirements in banking and finance
  • Experience with cloud platforms such as AWS, Azure, or GCP in a regulated financial environment
  • Excellent communication skills to collaborate with cross-functional teams including business stakeholders and risk management

Preferred Qualifications

  • Master's degree in Data Science or related field
  • Experience working at a major financial institution like JP Morgan Chase
  • Certification in Agile methodologies (e.g., Scrum Master) or data engineering (e.g., AWS Certified Data Analytics)
  • Prior involvement in developing data products for trading, risk, or client services in investment banking
  • Familiarity with regulatory frameworks such as GDPR, SOX, or Basel III

Required Skills

  • Proficiency in Java, Python, or Scala for data engineering
  • Expertise in big data technologies like Hadoop, Spark, or Kafka
  • Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
  • Experience with cloud computing services (AWS, Azure) and containerization (Docker, Kubernetes)
  • Agile methodologies including Scrum and Kanban
  • Data modeling, ETL processes, and API development
  • Understanding of financial data standards and security protocols (e.g., encryption, access controls)
  • Machine learning frameworks like TensorFlow or PyTorch for data products
  • Leadership and team management skills
  • Problem-solving and analytical thinking
  • Excellent verbal and written communication
  • Project management tools (e.g., Jira, Confluence)
  • Version control systems (e.g., Git)
  • Risk assessment and compliance awareness in finance
  • Adaptability to fast-paced, high-stakes environments

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 programs and tuition reimbursement for advanced certifications
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements including hybrid options in Columbus, OH

JP Morgan Chase is an equal opportunity employer.

Locations

  • OH, US

Salary

Estimated Salary Rangehigh confidence

220,000 - 320,000 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 Java, Python, or Scala for data engineeringintermediate
  • Expertise in big data technologies like Hadoop, Spark, or Kafkaintermediate
  • Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
  • Experience with cloud computing services (AWS, Azure) and containerization (Docker, Kubernetes)intermediate
  • Agile methodologies including Scrum and Kanbanintermediate
  • Data modeling, ETL processes, and API developmentintermediate
  • Understanding of financial data standards and security protocols (e.g., encryption, access controls)intermediate
  • Machine learning frameworks like TensorFlow or PyTorch for data productsintermediate
  • Leadership and team management skillsintermediate
  • Problem-solving and analytical thinkingintermediate
  • Excellent verbal and written communicationintermediate
  • Project management tools (e.g., Jira, Confluence)intermediate
  • Version control systems (e.g., Git)intermediate
  • Risk assessment and compliance awareness in financeintermediate
  • Adaptability to fast-paced, high-stakes environmentsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 7+ years of experience in software engineering, with at least 3 years in a leadership or managerial role (experience)
  • Proven track record of leading agile teams in delivering data products within the financial services sector (experience)
  • Strong hands-on experience in coding and implementing data solutions using modern programming languages (experience)
  • Deep understanding of data management, analytics, and compliance requirements in banking and finance (experience)
  • Experience with cloud platforms such as AWS, Azure, or GCP in a regulated financial environment (experience)
  • Excellent communication skills to collaborate with cross-functional teams including business stakeholders and risk management (experience)

Preferred Qualifications

  • Master's degree in Data Science or related field (experience)
  • Experience working at a major financial institution like JP Morgan Chase (experience)
  • Certification in Agile methodologies (e.g., Scrum Master) or data engineering (e.g., AWS Certified Data Analytics) (experience)
  • Prior involvement in developing data products for trading, risk, or client services in investment banking (experience)
  • Familiarity with regulatory frameworks such as GDPR, SOX, or Basel III (experience)

Responsibilities

  • Lead and mentor an agile team of software engineers focused on developing and maintaining data products for JP Morgan Chase's financial services platforms
  • Manage day-to-day implementation activities, including sprint planning, backlog grooming, and delivery timelines
  • Perform hands-on coding to design, build, and optimize scalable data pipelines and analytics solutions
  • Set overall technical guidance and architecture for data products, ensuring alignment with business objectives and regulatory standards
  • Collaborate with cross-functional teams, including data scientists, product managers, and compliance officers, to define requirements and resolve issues
  • Drive innovation in data technologies to enhance risk management, trading analytics, and client reporting capabilities
  • Monitor team performance, conduct code reviews, and implement best practices for secure and efficient software development
  • Identify and mitigate technical risks, ensuring data products meet high availability and performance standards in a 24/7 financial environment
  • Contribute to strategic planning for data initiatives, integrating AI/ML where applicable to support JP Morgan's digital transformation
  • Foster a culture of continuous improvement, providing training and development opportunities for team members

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 programs and tuition reimbursement for advanced certifications
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements including hybrid options in Columbus, OH

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JP Morgan Chase logo

Manager of Software Engineering - Data Products

JP Morgan Chase

Software and Technology Jobs

Manager of Software Engineering - Data Products

full-timePosted: Oct 30, 2025

Job Description

Manager of Software Engineering - Data Products

Location: OH, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge data products to power our global operations in investment banking, asset management, and consumer services. As the Manager of Software Engineering - Data Products, you will lead a dynamic agile team in Columbus, OH, responsible for building and scaling data solutions that drive actionable insights for traders, risk managers, and clients. This role combines strategic leadership with hands-on technical expertise, where you will guide the team through the full software development lifecycle while ensuring adherence to stringent financial regulations and security standards. Your work will directly contribute to enhancing our data-driven decision-making, supporting everything from real-time market analytics to personalized client experiences in a highly competitive industry. In this pivotal position, you will manage day-to-day implementation activities, from sprint planning to deployment, while actively participating in coding to architect robust data pipelines and integrate advanced analytics. You will set the overall technical vision, fostering innovation in areas like AI-enhanced risk modeling and scalable cloud-based data platforms. Collaboration is key; you will partner with business units, data governance teams, and external vendors to align engineering efforts with JP Morgan's strategic goals, all while navigating the complexities of financial data privacy and compliance frameworks such as GDPR and SEC requirements. This role demands a balance of technical depth and leadership acumen to inspire your team and deliver high-impact results in a fast-evolving landscape. Joining JP Morgan Chase means being part of a world-class organization committed to your professional growth and work-life balance. We offer opportunities to work on transformative projects that shape the future of finance, with access to top-tier resources and a supportive culture that values diversity and inclusion. If you are passionate about data engineering in the financial services sector and ready to lead with impact, this role provides the platform to advance your career while contributing to our mission of enabling economic growth worldwide.

Key Responsibilities

  • Lead and mentor an agile team of software engineers focused on developing and maintaining data products for JP Morgan Chase's financial services platforms
  • Manage day-to-day implementation activities, including sprint planning, backlog grooming, and delivery timelines
  • Perform hands-on coding to design, build, and optimize scalable data pipelines and analytics solutions
  • Set overall technical guidance and architecture for data products, ensuring alignment with business objectives and regulatory standards
  • Collaborate with cross-functional teams, including data scientists, product managers, and compliance officers, to define requirements and resolve issues
  • Drive innovation in data technologies to enhance risk management, trading analytics, and client reporting capabilities
  • Monitor team performance, conduct code reviews, and implement best practices for secure and efficient software development
  • Identify and mitigate technical risks, ensuring data products meet high availability and performance standards in a 24/7 financial environment
  • Contribute to strategic planning for data initiatives, integrating AI/ML where applicable to support JP Morgan's digital transformation
  • Foster a culture of continuous improvement, providing training and development opportunities for team members

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
  • 7+ years of experience in software engineering, with at least 3 years in a leadership or managerial role
  • Proven track record of leading agile teams in delivering data products within the financial services sector
  • Strong hands-on experience in coding and implementing data solutions using modern programming languages
  • Deep understanding of data management, analytics, and compliance requirements in banking and finance
  • Experience with cloud platforms such as AWS, Azure, or GCP in a regulated financial environment
  • Excellent communication skills to collaborate with cross-functional teams including business stakeholders and risk management

Preferred Qualifications

  • Master's degree in Data Science or related field
  • Experience working at a major financial institution like JP Morgan Chase
  • Certification in Agile methodologies (e.g., Scrum Master) or data engineering (e.g., AWS Certified Data Analytics)
  • Prior involvement in developing data products for trading, risk, or client services in investment banking
  • Familiarity with regulatory frameworks such as GDPR, SOX, or Basel III

Required Skills

  • Proficiency in Java, Python, or Scala for data engineering
  • Expertise in big data technologies like Hadoop, Spark, or Kafka
  • Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
  • Experience with cloud computing services (AWS, Azure) and containerization (Docker, Kubernetes)
  • Agile methodologies including Scrum and Kanban
  • Data modeling, ETL processes, and API development
  • Understanding of financial data standards and security protocols (e.g., encryption, access controls)
  • Machine learning frameworks like TensorFlow or PyTorch for data products
  • Leadership and team management skills
  • Problem-solving and analytical thinking
  • Excellent verbal and written communication
  • Project management tools (e.g., Jira, Confluence)
  • Version control systems (e.g., Git)
  • Risk assessment and compliance awareness in finance
  • Adaptability to fast-paced, high-stakes environments

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 programs and tuition reimbursement for advanced certifications
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements including hybrid options in Columbus, OH

JP Morgan Chase is an equal opportunity employer.

Locations

  • OH, US

Salary

Estimated Salary Rangehigh confidence

220,000 - 320,000 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 Java, Python, or Scala for data engineeringintermediate
  • Expertise in big data technologies like Hadoop, Spark, or Kafkaintermediate
  • Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)intermediate
  • Experience with cloud computing services (AWS, Azure) and containerization (Docker, Kubernetes)intermediate
  • Agile methodologies including Scrum and Kanbanintermediate
  • Data modeling, ETL processes, and API developmentintermediate
  • Understanding of financial data standards and security protocols (e.g., encryption, access controls)intermediate
  • Machine learning frameworks like TensorFlow or PyTorch for data productsintermediate
  • Leadership and team management skillsintermediate
  • Problem-solving and analytical thinkingintermediate
  • Excellent verbal and written communicationintermediate
  • Project management tools (e.g., Jira, Confluence)intermediate
  • Version control systems (e.g., Git)intermediate
  • Risk assessment and compliance awareness in financeintermediate
  • Adaptability to fast-paced, high-stakes environmentsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred (experience)
  • 7+ years of experience in software engineering, with at least 3 years in a leadership or managerial role (experience)
  • Proven track record of leading agile teams in delivering data products within the financial services sector (experience)
  • Strong hands-on experience in coding and implementing data solutions using modern programming languages (experience)
  • Deep understanding of data management, analytics, and compliance requirements in banking and finance (experience)
  • Experience with cloud platforms such as AWS, Azure, or GCP in a regulated financial environment (experience)
  • Excellent communication skills to collaborate with cross-functional teams including business stakeholders and risk management (experience)

Preferred Qualifications

  • Master's degree in Data Science or related field (experience)
  • Experience working at a major financial institution like JP Morgan Chase (experience)
  • Certification in Agile methodologies (e.g., Scrum Master) or data engineering (e.g., AWS Certified Data Analytics) (experience)
  • Prior involvement in developing data products for trading, risk, or client services in investment banking (experience)
  • Familiarity with regulatory frameworks such as GDPR, SOX, or Basel III (experience)

Responsibilities

  • Lead and mentor an agile team of software engineers focused on developing and maintaining data products for JP Morgan Chase's financial services platforms
  • Manage day-to-day implementation activities, including sprint planning, backlog grooming, and delivery timelines
  • Perform hands-on coding to design, build, and optimize scalable data pipelines and analytics solutions
  • Set overall technical guidance and architecture for data products, ensuring alignment with business objectives and regulatory standards
  • Collaborate with cross-functional teams, including data scientists, product managers, and compliance officers, to define requirements and resolve issues
  • Drive innovation in data technologies to enhance risk management, trading analytics, and client reporting capabilities
  • Monitor team performance, conduct code reviews, and implement best practices for secure and efficient software development
  • Identify and mitigate technical risks, ensuring data products meet high availability and performance standards in a 24/7 financial environment
  • Contribute to strategic planning for data initiatives, integrating AI/ML where applicable to support JP Morgan's digital transformation
  • Foster a culture of continuous improvement, providing training and development opportunities for team members

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 programs and tuition reimbursement for advanced certifications
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements including hybrid options in Columbus, OH

Target Your Resume for "Manager of Software Engineering - Data Products" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Manager of Software Engineering - Data Products. Takes only 15 seconds!

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

Check Your ATS Score for "Manager of Software Engineering - Data Products" , 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

Software EngineeringFinancial ServicesBankingJP MorganSoftware Engineering

Answer 10 quick questions to check your fit for Manager of Software Engineering - Data Products @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.