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Data Domain Architect Lead- Operations Product

JP Morgan Chase

Software and Technology Jobs

Data Domain Architect Lead- Operations Product

full-timePosted: Oct 3, 2025

Job Description

Data Domain Architect Lead- Operations Product

Location: Wilmington, DE, United States

Job Family: Analytics Solutions & Delivery

About the Role

At JPMorgan Chase, we are at the forefront of redefining the future of financial services through innovative data solutions. As a Data Domain Architect Lead in Operations Product, you will join a dynamic team in Wilmington, DE, tasked with tackling unstructured problems in the banking operations landscape. Your role will involve leading the architectural design of data domains that power our operations products, from transaction processing to risk management, ensuring seamless integration and scalability across our global enterprise. Leveraging your deep expertise in financial data architectures, you will develop practical strategies that enhance operational efficiency, drive data-driven decision-making, and support our commitment to client-centric innovation in a highly regulated industry. In this leadership position within the Analytics Solutions & Delivery category, you will collaborate closely with product owners, data engineers, and compliance experts to architect robust data frameworks that align with JPMorgan's strategic goals. You will assess complex, ambiguous challenges—such as optimizing data flows for real-time fraud detection or integrating legacy systems with modern cloud platforms—and translate them into actionable, technology-agnostic solutions. Your work will directly impact our ability to deliver secure, compliant, and high-performance operations products that serve millions of clients worldwide, while adhering to stringent standards like Basel III and data privacy laws. We value leaders who thrive in fast-paced environments and bring a blend of technical acumen and business insight to the table. As part of JPMorgan Chase's Operations Product team, you will mentor emerging talent, champion best practices in data governance, and contribute to thought leadership on emerging trends like AI-enhanced analytics in finance. This role offers the opportunity to shape the data backbone of one of the world's leading financial institutions, fostering professional growth in a supportive culture that prioritizes innovation, diversity, and inclusion.

Key Responsibilities

  • Lead the design and implementation of data domain architectures for operations products, ensuring alignment with JP Morgan Chase's enterprise data strategy
  • Assess unstructured business problems in financial operations and develop practical, scalable problem-solving strategies using data-driven approaches
  • Collaborate with cross-functional teams including product managers, engineers, and compliance officers to define data requirements and governance frameworks
  • Oversee the integration of diverse data sources (structured and unstructured) to support analytics solutions in areas like transaction monitoring and risk assessment
  • Drive the adoption of modern data technologies, such as cloud-based platforms (e.g., AWS, Azure) and big data tools, within JP Morgan's operations ecosystem
  • Mentor junior architects and team members, fostering a culture of innovation and best practices in data management
  • Ensure data architectures comply with financial regulations and internal policies, mitigating risks in high-stakes banking environments
  • Conduct regular reviews and optimizations of data models to enhance performance and support real-time decision-making in operations
  • Partner with analytics delivery teams to translate business needs into robust technical architectures that drive operational efficiency
  • Stay abreast of industry trends in financial data architecture and recommend innovative solutions to senior leadership

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Finance, or a related field; Master's degree preferred
  • 8+ years of experience in data architecture, data modeling, or enterprise architecture within the financial services industry
  • Proven track record in leading data domain architecture initiatives for operations and product teams in a large-scale banking environment
  • Deep understanding of data governance, compliance standards (e.g., GDPR, SOX), and regulatory requirements in financial services
  • Experience with agile methodologies and cross-functional team leadership in delivering data solutions
  • Strong analytical skills with the ability to assess unstructured problems and develop practical strategies
  • Certification in enterprise architecture (e.g., TOGAF) or data management (e.g., CDMP) is highly desirable

Preferred Qualifications

  • Experience working at a major financial institution like JP Morgan Chase or similar
  • Knowledge of JPMorgan's internal data platforms and tools such as Hadoop, Snowflake, or proprietary analytics systems
  • Background in operations product development, including risk management and transaction processing
  • Familiarity with AI/ML integration in data architectures for predictive analytics in banking
  • Advanced degree or executive education in data science or financial engineering

Required Skills

  • Expertise in data modeling and database design (e.g., SQL, NoSQL)
  • Proficiency in enterprise architecture frameworks like TOGAF or Zachman
  • Strong knowledge of big data technologies (Hadoop, Spark, Kafka)
  • Experience with cloud data platforms (AWS, Azure, GCP)
  • Data governance and metadata management skills
  • Analytical problem-solving for unstructured challenges
  • Leadership and team collaboration abilities
  • Financial services domain knowledge (e.g., payments, risk, compliance)
  • Agile and DevOps methodologies
  • Python or Java programming for data scripting
  • Machine learning basics for data architecture integration
  • Stakeholder communication and presentation skills
  • Risk assessment and regulatory compliance expertise
  • Project management tools (e.g., Jira, Confluence)
  • Innovation mindset for emerging tech like AI in finance

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 through JPMorgan's internal training programs and tuition reimbursement
  • 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 Wilmington, DE

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

220,000 - 350,000 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 data modeling and database design (e.g., SQL, NoSQL)intermediate
  • Proficiency in enterprise architecture frameworks like TOGAF or Zachmanintermediate
  • Strong knowledge of big data technologies (Hadoop, Spark, Kafka)intermediate
  • Experience with cloud data platforms (AWS, Azure, GCP)intermediate
  • Data governance and metadata management skillsintermediate
  • Analytical problem-solving for unstructured challengesintermediate
  • Leadership and team collaboration abilitiesintermediate
  • Financial services domain knowledge (e.g., payments, risk, compliance)intermediate
  • Agile and DevOps methodologiesintermediate
  • Python or Java programming for data scriptingintermediate
  • Machine learning basics for data architecture integrationintermediate
  • Stakeholder communication and presentation skillsintermediate
  • Risk assessment and regulatory compliance expertiseintermediate
  • Project management tools (e.g., Jira, Confluence)intermediate
  • Innovation mindset for emerging tech like AI in financeintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Finance, or a related field; Master's degree preferred (experience)
  • 8+ years of experience in data architecture, data modeling, or enterprise architecture within the financial services industry (experience)
  • Proven track record in leading data domain architecture initiatives for operations and product teams in a large-scale banking environment (experience)
  • Deep understanding of data governance, compliance standards (e.g., GDPR, SOX), and regulatory requirements in financial services (experience)
  • Experience with agile methodologies and cross-functional team leadership in delivering data solutions (experience)
  • Strong analytical skills with the ability to assess unstructured problems and develop practical strategies (experience)
  • Certification in enterprise architecture (e.g., TOGAF) or data management (e.g., CDMP) is highly desirable (experience)

Preferred Qualifications

  • Experience working at a major financial institution like JP Morgan Chase or similar (experience)
  • Knowledge of JPMorgan's internal data platforms and tools such as Hadoop, Snowflake, or proprietary analytics systems (experience)
  • Background in operations product development, including risk management and transaction processing (experience)
  • Familiarity with AI/ML integration in data architectures for predictive analytics in banking (experience)
  • Advanced degree or executive education in data science or financial engineering (experience)

Responsibilities

  • Lead the design and implementation of data domain architectures for operations products, ensuring alignment with JP Morgan Chase's enterprise data strategy
  • Assess unstructured business problems in financial operations and develop practical, scalable problem-solving strategies using data-driven approaches
  • Collaborate with cross-functional teams including product managers, engineers, and compliance officers to define data requirements and governance frameworks
  • Oversee the integration of diverse data sources (structured and unstructured) to support analytics solutions in areas like transaction monitoring and risk assessment
  • Drive the adoption of modern data technologies, such as cloud-based platforms (e.g., AWS, Azure) and big data tools, within JP Morgan's operations ecosystem
  • Mentor junior architects and team members, fostering a culture of innovation and best practices in data management
  • Ensure data architectures comply with financial regulations and internal policies, mitigating risks in high-stakes banking environments
  • Conduct regular reviews and optimizations of data models to enhance performance and support real-time decision-making in operations
  • Partner with analytics delivery teams to translate business needs into robust technical architectures that drive operational efficiency
  • Stay abreast of industry trends in financial data architecture and recommend innovative solutions to senior leadership

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 through JPMorgan's internal training programs and tuition reimbursement
  • 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 Wilmington, DE

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JP Morgan Chase logo

Data Domain Architect Lead- Operations Product

JP Morgan Chase

Software and Technology Jobs

Data Domain Architect Lead- Operations Product

full-timePosted: Oct 3, 2025

Job Description

Data Domain Architect Lead- Operations Product

Location: Wilmington, DE, United States

Job Family: Analytics Solutions & Delivery

About the Role

At JPMorgan Chase, we are at the forefront of redefining the future of financial services through innovative data solutions. As a Data Domain Architect Lead in Operations Product, you will join a dynamic team in Wilmington, DE, tasked with tackling unstructured problems in the banking operations landscape. Your role will involve leading the architectural design of data domains that power our operations products, from transaction processing to risk management, ensuring seamless integration and scalability across our global enterprise. Leveraging your deep expertise in financial data architectures, you will develop practical strategies that enhance operational efficiency, drive data-driven decision-making, and support our commitment to client-centric innovation in a highly regulated industry. In this leadership position within the Analytics Solutions & Delivery category, you will collaborate closely with product owners, data engineers, and compliance experts to architect robust data frameworks that align with JPMorgan's strategic goals. You will assess complex, ambiguous challenges—such as optimizing data flows for real-time fraud detection or integrating legacy systems with modern cloud platforms—and translate them into actionable, technology-agnostic solutions. Your work will directly impact our ability to deliver secure, compliant, and high-performance operations products that serve millions of clients worldwide, while adhering to stringent standards like Basel III and data privacy laws. We value leaders who thrive in fast-paced environments and bring a blend of technical acumen and business insight to the table. As part of JPMorgan Chase's Operations Product team, you will mentor emerging talent, champion best practices in data governance, and contribute to thought leadership on emerging trends like AI-enhanced analytics in finance. This role offers the opportunity to shape the data backbone of one of the world's leading financial institutions, fostering professional growth in a supportive culture that prioritizes innovation, diversity, and inclusion.

Key Responsibilities

  • Lead the design and implementation of data domain architectures for operations products, ensuring alignment with JP Morgan Chase's enterprise data strategy
  • Assess unstructured business problems in financial operations and develop practical, scalable problem-solving strategies using data-driven approaches
  • Collaborate with cross-functional teams including product managers, engineers, and compliance officers to define data requirements and governance frameworks
  • Oversee the integration of diverse data sources (structured and unstructured) to support analytics solutions in areas like transaction monitoring and risk assessment
  • Drive the adoption of modern data technologies, such as cloud-based platforms (e.g., AWS, Azure) and big data tools, within JP Morgan's operations ecosystem
  • Mentor junior architects and team members, fostering a culture of innovation and best practices in data management
  • Ensure data architectures comply with financial regulations and internal policies, mitigating risks in high-stakes banking environments
  • Conduct regular reviews and optimizations of data models to enhance performance and support real-time decision-making in operations
  • Partner with analytics delivery teams to translate business needs into robust technical architectures that drive operational efficiency
  • Stay abreast of industry trends in financial data architecture and recommend innovative solutions to senior leadership

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Finance, or a related field; Master's degree preferred
  • 8+ years of experience in data architecture, data modeling, or enterprise architecture within the financial services industry
  • Proven track record in leading data domain architecture initiatives for operations and product teams in a large-scale banking environment
  • Deep understanding of data governance, compliance standards (e.g., GDPR, SOX), and regulatory requirements in financial services
  • Experience with agile methodologies and cross-functional team leadership in delivering data solutions
  • Strong analytical skills with the ability to assess unstructured problems and develop practical strategies
  • Certification in enterprise architecture (e.g., TOGAF) or data management (e.g., CDMP) is highly desirable

Preferred Qualifications

  • Experience working at a major financial institution like JP Morgan Chase or similar
  • Knowledge of JPMorgan's internal data platforms and tools such as Hadoop, Snowflake, or proprietary analytics systems
  • Background in operations product development, including risk management and transaction processing
  • Familiarity with AI/ML integration in data architectures for predictive analytics in banking
  • Advanced degree or executive education in data science or financial engineering

Required Skills

  • Expertise in data modeling and database design (e.g., SQL, NoSQL)
  • Proficiency in enterprise architecture frameworks like TOGAF or Zachman
  • Strong knowledge of big data technologies (Hadoop, Spark, Kafka)
  • Experience with cloud data platforms (AWS, Azure, GCP)
  • Data governance and metadata management skills
  • Analytical problem-solving for unstructured challenges
  • Leadership and team collaboration abilities
  • Financial services domain knowledge (e.g., payments, risk, compliance)
  • Agile and DevOps methodologies
  • Python or Java programming for data scripting
  • Machine learning basics for data architecture integration
  • Stakeholder communication and presentation skills
  • Risk assessment and regulatory compliance expertise
  • Project management tools (e.g., Jira, Confluence)
  • Innovation mindset for emerging tech like AI in finance

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 through JPMorgan's internal training programs and tuition reimbursement
  • 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 Wilmington, DE

JP Morgan Chase is an equal opportunity employer.

Locations

  • Wilmington, US

Salary

Estimated Salary Rangehigh confidence

220,000 - 350,000 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 data modeling and database design (e.g., SQL, NoSQL)intermediate
  • Proficiency in enterprise architecture frameworks like TOGAF or Zachmanintermediate
  • Strong knowledge of big data technologies (Hadoop, Spark, Kafka)intermediate
  • Experience with cloud data platforms (AWS, Azure, GCP)intermediate
  • Data governance and metadata management skillsintermediate
  • Analytical problem-solving for unstructured challengesintermediate
  • Leadership and team collaboration abilitiesintermediate
  • Financial services domain knowledge (e.g., payments, risk, compliance)intermediate
  • Agile and DevOps methodologiesintermediate
  • Python or Java programming for data scriptingintermediate
  • Machine learning basics for data architecture integrationintermediate
  • Stakeholder communication and presentation skillsintermediate
  • Risk assessment and regulatory compliance expertiseintermediate
  • Project management tools (e.g., Jira, Confluence)intermediate
  • Innovation mindset for emerging tech like AI in financeintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Finance, or a related field; Master's degree preferred (experience)
  • 8+ years of experience in data architecture, data modeling, or enterprise architecture within the financial services industry (experience)
  • Proven track record in leading data domain architecture initiatives for operations and product teams in a large-scale banking environment (experience)
  • Deep understanding of data governance, compliance standards (e.g., GDPR, SOX), and regulatory requirements in financial services (experience)
  • Experience with agile methodologies and cross-functional team leadership in delivering data solutions (experience)
  • Strong analytical skills with the ability to assess unstructured problems and develop practical strategies (experience)
  • Certification in enterprise architecture (e.g., TOGAF) or data management (e.g., CDMP) is highly desirable (experience)

Preferred Qualifications

  • Experience working at a major financial institution like JP Morgan Chase or similar (experience)
  • Knowledge of JPMorgan's internal data platforms and tools such as Hadoop, Snowflake, or proprietary analytics systems (experience)
  • Background in operations product development, including risk management and transaction processing (experience)
  • Familiarity with AI/ML integration in data architectures for predictive analytics in banking (experience)
  • Advanced degree or executive education in data science or financial engineering (experience)

Responsibilities

  • Lead the design and implementation of data domain architectures for operations products, ensuring alignment with JP Morgan Chase's enterprise data strategy
  • Assess unstructured business problems in financial operations and develop practical, scalable problem-solving strategies using data-driven approaches
  • Collaborate with cross-functional teams including product managers, engineers, and compliance officers to define data requirements and governance frameworks
  • Oversee the integration of diverse data sources (structured and unstructured) to support analytics solutions in areas like transaction monitoring and risk assessment
  • Drive the adoption of modern data technologies, such as cloud-based platforms (e.g., AWS, Azure) and big data tools, within JP Morgan's operations ecosystem
  • Mentor junior architects and team members, fostering a culture of innovation and best practices in data management
  • Ensure data architectures comply with financial regulations and internal policies, mitigating risks in high-stakes banking environments
  • Conduct regular reviews and optimizations of data models to enhance performance and support real-time decision-making in operations
  • Partner with analytics delivery teams to translate business needs into robust technical architectures that drive operational efficiency
  • Stay abreast of industry trends in financial data architecture and recommend innovative solutions to senior leadership

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 through JPMorgan's internal training programs and tuition reimbursement
  • 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 Wilmington, DE

Target Your Resume for "Data Domain Architect Lead- Operations Product" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Data Domain Architect Lead- Operations Product. Takes only 15 seconds!

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

Check Your ATS Score for "Data Domain Architect Lead- Operations Product" , 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

Analytics Solutions & DeliveryFinancial ServicesBankingJP MorganAnalytics Solutions & Delivery

Answer 10 quick questions to check your fit for Data Domain Architect Lead- Operations Product @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.