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Data Domain Architect Lead - Wholesale Lending Services

JP Morgan Chase

Engineering Jobs

Data Domain Architect Lead - Wholesale Lending Services

full-timePosted: Dec 5, 2025

Job Description

Data Domain Architect Lead - Wholesale Lending Services

Location: Chicago, IL, United States

Job Family: Analytics Solutions & Delivery

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our Wholesale Lending Services team plays a pivotal role in delivering world-class solutions to corporate and institutional clients. As the Data Domain Architect Lead for Wholesale Lending Services, you will spearhead the architectural vision for data across our lending portfolio, including syndicated loans, trade finance, and treasury services. Based in our Chicago office, you will collaborate with global teams to build robust, scalable data ecosystems that drive business insights, enhance risk management, and ensure regulatory adherence in a dynamic financial landscape. This leadership role demands a strategic thinker who can bridge technology and business needs, leveraging JP Morgan Chase's vast data resources to fuel growth and efficiency. In this position, you will define and execute data strategies that align with JP Morgan Chase's commitment to digital transformation and client-centric innovation. You will lead the design of data models and integration frameworks tailored to wholesale lending workflows, incorporating advanced analytics for credit assessment and portfolio optimization. Working closely with product owners, data scientists, and compliance experts, you will champion data governance practices to mitigate risks and support real-time decision-making. Your efforts will directly contribute to enhancing our competitive edge in the financial services industry, where data is the cornerstone of trust and performance. We seek a visionary leader passionate about data's transformative power in banking. Join JP Morgan Chase to shape the future of wholesale lending, where your expertise will empower our clients and drive sustainable value. This role offers unparalleled opportunities for impact within one of the world's leading financial institutions, fostering professional growth in a collaborative, inclusive environment.

Key Responsibilities

  • Lead the design and implementation of data architecture strategies for Wholesale Lending Services, ensuring alignment with JP Morgan Chase's enterprise data standards
  • Collaborate with business stakeholders, technology teams, and risk management to define data requirements for lending products and services
  • Develop and maintain data models, ontologies, and integration patterns to support analytics, reporting, and decision-making in wholesale lending
  • Oversee data governance initiatives, including quality assurance, lineage tracking, and compliance with financial regulations
  • Drive the adoption of modern data technologies such as data lakes, real-time processing, and AI/ML frameworks within the lending domain
  • Mentor and lead a team of data architects and engineers, fostering innovation and best practices
  • Identify and mitigate data-related risks in wholesale lending operations, including fraud detection and credit risk modeling
  • Partner with global teams to ensure scalable, secure data solutions across JP Morgan Chase's international operations
  • Contribute to strategic roadmaps for data transformation, leveraging emerging trends like blockchain in lending
  • Monitor and optimize data performance, ensuring high availability and efficiency for business-critical applications

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Finance, or a related field; Master's degree preferred
  • 10+ years of experience in data architecture, with at least 5 years in financial services or banking
  • Proven track record leading data architecture initiatives in wholesale lending or similar domains
  • Deep expertise in data modeling, integration, and governance within complex enterprise environments
  • Experience with regulatory compliance in financial data (e.g., Basel III, Dodd-Frank)
  • Strong leadership skills with experience managing cross-functional teams

Preferred Qualifications

  • Experience at a major financial institution like JP Morgan Chase
  • Knowledge of wholesale lending products such as syndicated loans, trade finance, and cash management
  • Certifications in data architecture (e.g., Certified Data Management Professional - CDMP)
  • Familiarity with cloud platforms like AWS or Azure in a financial context
  • Advanced degree in a quantitative field or MBA with finance focus

Required Skills

  • Data modeling and architecture (e.g., ER/ UML, dimensional modeling)
  • Enterprise data management tools (e.g., Collibra, Informatica)
  • SQL, Python, or Java for data querying and scripting
  • Cloud data platforms (e.g., AWS S3, Azure Synapse, Google BigQuery)
  • Knowledge of financial data standards (e.g., ISO 20022, FpML)
  • Regulatory compliance and risk management in banking
  • Leadership and team management
  • Stakeholder communication and presentation skills
  • Agile methodologies and DevOps practices
  • Big data technologies (e.g., Hadoop, Spark)
  • AI/ML integration for predictive analytics in lending
  • Problem-solving and analytical thinking
  • Project management (e.g., PMP principles)
  • Business acumen in wholesale lending and capital markets
  • Adaptability to fast-paced financial 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
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers and wellness initiatives at Chicago locations
  • Flexible work arrangements and hybrid work options

JP Morgan Chase is an equal opportunity employer.

Locations

  • Chicago, 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

  • Data modeling and architecture (e.g., ER/ UML, dimensional modeling)intermediate
  • Enterprise data management tools (e.g., Collibra, Informatica)intermediate
  • SQL, Python, or Java for data querying and scriptingintermediate
  • Cloud data platforms (e.g., AWS S3, Azure Synapse, Google BigQuery)intermediate
  • Knowledge of financial data standards (e.g., ISO 20022, FpML)intermediate
  • Regulatory compliance and risk management in bankingintermediate
  • Leadership and team managementintermediate
  • Stakeholder communication and presentation skillsintermediate
  • Agile methodologies and DevOps practicesintermediate
  • Big data technologies (e.g., Hadoop, Spark)intermediate
  • AI/ML integration for predictive analytics in lendingintermediate
  • Problem-solving and analytical thinkingintermediate
  • Project management (e.g., PMP principles)intermediate
  • Business acumen in wholesale lending and capital marketsintermediate
  • Adaptability to fast-paced financial environmentsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Finance, or a related field; Master's degree preferred (experience)
  • 10+ years of experience in data architecture, with at least 5 years in financial services or banking (experience)
  • Proven track record leading data architecture initiatives in wholesale lending or similar domains (experience)
  • Deep expertise in data modeling, integration, and governance within complex enterprise environments (experience)
  • Experience with regulatory compliance in financial data (e.g., Basel III, Dodd-Frank) (experience)
  • Strong leadership skills with experience managing cross-functional teams (experience)

Preferred Qualifications

  • Experience at a major financial institution like JP Morgan Chase (experience)
  • Knowledge of wholesale lending products such as syndicated loans, trade finance, and cash management (experience)
  • Certifications in data architecture (e.g., Certified Data Management Professional - CDMP) (experience)
  • Familiarity with cloud platforms like AWS or Azure in a financial context (experience)
  • Advanced degree in a quantitative field or MBA with finance focus (experience)

Responsibilities

  • Lead the design and implementation of data architecture strategies for Wholesale Lending Services, ensuring alignment with JP Morgan Chase's enterprise data standards
  • Collaborate with business stakeholders, technology teams, and risk management to define data requirements for lending products and services
  • Develop and maintain data models, ontologies, and integration patterns to support analytics, reporting, and decision-making in wholesale lending
  • Oversee data governance initiatives, including quality assurance, lineage tracking, and compliance with financial regulations
  • Drive the adoption of modern data technologies such as data lakes, real-time processing, and AI/ML frameworks within the lending domain
  • Mentor and lead a team of data architects and engineers, fostering innovation and best practices
  • Identify and mitigate data-related risks in wholesale lending operations, including fraud detection and credit risk modeling
  • Partner with global teams to ensure scalable, secure data solutions across JP Morgan Chase's international operations
  • Contribute to strategic roadmaps for data transformation, leveraging emerging trends like blockchain in lending
  • Monitor and optimize data performance, ensuring high availability and efficiency for business-critical applications

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
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers and wellness initiatives at Chicago locations
  • general: Flexible work arrangements and hybrid work options

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JP Morgan Chase logo

Data Domain Architect Lead - Wholesale Lending Services

JP Morgan Chase

Engineering Jobs

Data Domain Architect Lead - Wholesale Lending Services

full-timePosted: Dec 5, 2025

Job Description

Data Domain Architect Lead - Wholesale Lending Services

Location: Chicago, IL, United States

Job Family: Analytics Solutions & Delivery

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our Wholesale Lending Services team plays a pivotal role in delivering world-class solutions to corporate and institutional clients. As the Data Domain Architect Lead for Wholesale Lending Services, you will spearhead the architectural vision for data across our lending portfolio, including syndicated loans, trade finance, and treasury services. Based in our Chicago office, you will collaborate with global teams to build robust, scalable data ecosystems that drive business insights, enhance risk management, and ensure regulatory adherence in a dynamic financial landscape. This leadership role demands a strategic thinker who can bridge technology and business needs, leveraging JP Morgan Chase's vast data resources to fuel growth and efficiency. In this position, you will define and execute data strategies that align with JP Morgan Chase's commitment to digital transformation and client-centric innovation. You will lead the design of data models and integration frameworks tailored to wholesale lending workflows, incorporating advanced analytics for credit assessment and portfolio optimization. Working closely with product owners, data scientists, and compliance experts, you will champion data governance practices to mitigate risks and support real-time decision-making. Your efforts will directly contribute to enhancing our competitive edge in the financial services industry, where data is the cornerstone of trust and performance. We seek a visionary leader passionate about data's transformative power in banking. Join JP Morgan Chase to shape the future of wholesale lending, where your expertise will empower our clients and drive sustainable value. This role offers unparalleled opportunities for impact within one of the world's leading financial institutions, fostering professional growth in a collaborative, inclusive environment.

Key Responsibilities

  • Lead the design and implementation of data architecture strategies for Wholesale Lending Services, ensuring alignment with JP Morgan Chase's enterprise data standards
  • Collaborate with business stakeholders, technology teams, and risk management to define data requirements for lending products and services
  • Develop and maintain data models, ontologies, and integration patterns to support analytics, reporting, and decision-making in wholesale lending
  • Oversee data governance initiatives, including quality assurance, lineage tracking, and compliance with financial regulations
  • Drive the adoption of modern data technologies such as data lakes, real-time processing, and AI/ML frameworks within the lending domain
  • Mentor and lead a team of data architects and engineers, fostering innovation and best practices
  • Identify and mitigate data-related risks in wholesale lending operations, including fraud detection and credit risk modeling
  • Partner with global teams to ensure scalable, secure data solutions across JP Morgan Chase's international operations
  • Contribute to strategic roadmaps for data transformation, leveraging emerging trends like blockchain in lending
  • Monitor and optimize data performance, ensuring high availability and efficiency for business-critical applications

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Finance, or a related field; Master's degree preferred
  • 10+ years of experience in data architecture, with at least 5 years in financial services or banking
  • Proven track record leading data architecture initiatives in wholesale lending or similar domains
  • Deep expertise in data modeling, integration, and governance within complex enterprise environments
  • Experience with regulatory compliance in financial data (e.g., Basel III, Dodd-Frank)
  • Strong leadership skills with experience managing cross-functional teams

Preferred Qualifications

  • Experience at a major financial institution like JP Morgan Chase
  • Knowledge of wholesale lending products such as syndicated loans, trade finance, and cash management
  • Certifications in data architecture (e.g., Certified Data Management Professional - CDMP)
  • Familiarity with cloud platforms like AWS or Azure in a financial context
  • Advanced degree in a quantitative field or MBA with finance focus

Required Skills

  • Data modeling and architecture (e.g., ER/ UML, dimensional modeling)
  • Enterprise data management tools (e.g., Collibra, Informatica)
  • SQL, Python, or Java for data querying and scripting
  • Cloud data platforms (e.g., AWS S3, Azure Synapse, Google BigQuery)
  • Knowledge of financial data standards (e.g., ISO 20022, FpML)
  • Regulatory compliance and risk management in banking
  • Leadership and team management
  • Stakeholder communication and presentation skills
  • Agile methodologies and DevOps practices
  • Big data technologies (e.g., Hadoop, Spark)
  • AI/ML integration for predictive analytics in lending
  • Problem-solving and analytical thinking
  • Project management (e.g., PMP principles)
  • Business acumen in wholesale lending and capital markets
  • Adaptability to fast-paced financial 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
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers and wellness initiatives at Chicago locations
  • Flexible work arrangements and hybrid work options

JP Morgan Chase is an equal opportunity employer.

Locations

  • Chicago, 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

  • Data modeling and architecture (e.g., ER/ UML, dimensional modeling)intermediate
  • Enterprise data management tools (e.g., Collibra, Informatica)intermediate
  • SQL, Python, or Java for data querying and scriptingintermediate
  • Cloud data platforms (e.g., AWS S3, Azure Synapse, Google BigQuery)intermediate
  • Knowledge of financial data standards (e.g., ISO 20022, FpML)intermediate
  • Regulatory compliance and risk management in bankingintermediate
  • Leadership and team managementintermediate
  • Stakeholder communication and presentation skillsintermediate
  • Agile methodologies and DevOps practicesintermediate
  • Big data technologies (e.g., Hadoop, Spark)intermediate
  • AI/ML integration for predictive analytics in lendingintermediate
  • Problem-solving and analytical thinkingintermediate
  • Project management (e.g., PMP principles)intermediate
  • Business acumen in wholesale lending and capital marketsintermediate
  • Adaptability to fast-paced financial environmentsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Finance, or a related field; Master's degree preferred (experience)
  • 10+ years of experience in data architecture, with at least 5 years in financial services or banking (experience)
  • Proven track record leading data architecture initiatives in wholesale lending or similar domains (experience)
  • Deep expertise in data modeling, integration, and governance within complex enterprise environments (experience)
  • Experience with regulatory compliance in financial data (e.g., Basel III, Dodd-Frank) (experience)
  • Strong leadership skills with experience managing cross-functional teams (experience)

Preferred Qualifications

  • Experience at a major financial institution like JP Morgan Chase (experience)
  • Knowledge of wholesale lending products such as syndicated loans, trade finance, and cash management (experience)
  • Certifications in data architecture (e.g., Certified Data Management Professional - CDMP) (experience)
  • Familiarity with cloud platforms like AWS or Azure in a financial context (experience)
  • Advanced degree in a quantitative field or MBA with finance focus (experience)

Responsibilities

  • Lead the design and implementation of data architecture strategies for Wholesale Lending Services, ensuring alignment with JP Morgan Chase's enterprise data standards
  • Collaborate with business stakeholders, technology teams, and risk management to define data requirements for lending products and services
  • Develop and maintain data models, ontologies, and integration patterns to support analytics, reporting, and decision-making in wholesale lending
  • Oversee data governance initiatives, including quality assurance, lineage tracking, and compliance with financial regulations
  • Drive the adoption of modern data technologies such as data lakes, real-time processing, and AI/ML frameworks within the lending domain
  • Mentor and lead a team of data architects and engineers, fostering innovation and best practices
  • Identify and mitigate data-related risks in wholesale lending operations, including fraud detection and credit risk modeling
  • Partner with global teams to ensure scalable, secure data solutions across JP Morgan Chase's international operations
  • Contribute to strategic roadmaps for data transformation, leveraging emerging trends like blockchain in lending
  • Monitor and optimize data performance, ensuring high availability and efficiency for business-critical applications

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
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers and wellness initiatives at Chicago locations
  • general: Flexible work arrangements and hybrid work options

Target Your Resume for "Data Domain Architect Lead - Wholesale Lending Services" , JP Morgan Chase

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

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

Check Your ATS Score for "Data Domain Architect Lead - Wholesale Lending Services" , 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 - Wholesale Lending Services @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.