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Data Domain Architect and Reporting: Senior Associate

JP Morgan Chase

Engineering Jobs

Data Domain Architect and Reporting: Senior Associate

full-timePosted: Nov 20, 2025

Job Description

Data Domain Architect and Reporting: Senior Associate

Location: Tempe, AZ, United States

Job Family: Analytics Solutions & Delivery

About the Role

As a Data Domain Architect and Reporting Senior Associate at JP Morgan Chase, you will play a pivotal role in the Analytics Solutions & Delivery team, focusing on real estate analytics and automation. Based in our state-of-the-art facility in Tempe, AZ, you will architect robust data solutions that empower strategic decision-making for the firm's global real estate portfolio. This position involves designing scalable data models, implementing automation workflows, and delivering insightful reports that support initiatives like property optimization, cost forecasting, and risk management across JP Morgan's Corporate Real Estate and broader financial operations. Your work will directly influence firm-wide strategies, ensuring data-driven insights align with the bank's commitment to innovation and excellence in financial services. In this role, you will collaborate with diverse teams including finance, technology, and real estate experts to integrate complex datasets from internal systems, market intelligence sources, and regulatory feeds. You will lead the development of advanced reporting dashboards and automation tools that enhance operational efficiency, reduce manual processes, and provide real-time visibility into real estate assets valued in the billions. At JP Morgan Chase, a leader in global banking, your contributions will adhere to stringent data governance standards, ensuring compliance with financial regulations while leveraging cutting-edge technologies to drive actionable analytics that inform executive decisions and support sustainable growth. We seek a proactive professional passionate about the intersection of data architecture and financial real estate. This Senior Associate position offers opportunities for career advancement within one of the world's most respected financial institutions, where you will contribute to high-impact projects that shape the future of asset management. Join JP Morgan Chase in Tempe, AZ, and be part of a dynamic team dedicated to transforming data into strategic value for clients and the firm alike.

Key Responsibilities

  • Design and architect data models and reporting frameworks to deliver actionable real estate analytics for JP Morgan Chase's global operations
  • Develop automation solutions to streamline data processes, enhancing efficiency in real estate portfolio management and decision-making
  • Collaborate with stakeholders across Corporate Real Estate, Finance, and Technology teams to align data strategies with firm-wide initiatives
  • Ensure data integrity, compliance, and security in all reporting outputs, adhering to financial industry regulations
  • Lead the integration of disparate data sources from real estate systems, financial databases, and external vendors
  • Provide insights and recommendations to senior leadership on real estate trends, cost optimization, and risk assessment through advanced analytics
  • Mentor junior team members and drive best practices in data domain architecture within the Analytics Solutions & Delivery group
  • Monitor and optimize data performance, scalability, and reporting tools to support strategic business objectives
  • Participate in innovation projects, such as AI-driven forecasting for real estate investments at JP Morgan Chase

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Finance, or a related field; advanced degree preferred
  • Minimum of 5 years of experience in data architecture, analytics, or reporting within the financial services industry
  • Proven track record in designing and implementing data solutions for real estate or asset management domains
  • Strong understanding of regulatory requirements in financial reporting, such as SEC and Basel standards
  • Experience with enterprise data platforms and tools used in large-scale financial institutions
  • Ability to collaborate across cross-functional teams in a global banking environment

Preferred Qualifications

  • Master's degree in Data Science, Business Analytics, or equivalent
  • Experience working at a major financial institution like JP Morgan Chase or similar
  • Certification in cloud architecture (e.g., AWS Certified Solutions Architect) or data management (e.g., CDMP)
  • Prior involvement in real estate analytics projects supporting corporate real estate strategies
  • Familiarity with JP Morgan's internal data governance frameworks

Required Skills

  • Data modeling and architecture (e.g., ER diagrams, dimensional modeling)
  • SQL and advanced querying for large-scale financial datasets
  • ETL processes using tools like Informatica or Talend
  • Business intelligence tools such as Tableau, Power BI, or QlikView
  • Cloud platforms including AWS, Azure, or Google Cloud for data storage and analytics
  • Python or R for data analysis and automation scripting
  • Knowledge of real estate data standards (e.g., IFRS, GAAP for property reporting)
  • Financial analytics and reporting expertise in banking contexts
  • Agile methodologies and project management in cross-functional teams
  • Strong communication and stakeholder management skills
  • Problem-solving and analytical thinking for complex data challenges
  • Regulatory compliance awareness in financial services
  • Experience with big data technologies like Hadoop or Spark
  • Attention to detail in data governance and quality assurance
  • Leadership and mentoring abilities in a collaborative environment

Benefits

  • Comprehensive medical, dental, and vision insurance plans with employer contributions
  • 401(k) retirement savings plan with generous company matching up to 6% of eligible compensation
  • Annual performance-based bonuses and stock awards as part of total compensation
  • Paid time off including vacation, sick days, and parental leave
  • Professional development programs, including tuition reimbursement and access to internal training at JP Morgan Chase University
  • Wellness programs with gym memberships, mental health support, and employee assistance services
  • Flexible work arrangements, including hybrid options in Tempe, AZ
  • Employee stock purchase plan and financial planning resources tailored to financial services professionals

JP Morgan Chase is an equal opportunity employer.

Locations

  • Tempe, US

Salary

Estimated Salary Rangehigh confidence

140,000 - 220,000 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 diagrams, dimensional modeling)intermediate
  • SQL and advanced querying for large-scale financial datasetsintermediate
  • ETL processes using tools like Informatica or Talendintermediate
  • Business intelligence tools such as Tableau, Power BI, or QlikViewintermediate
  • Cloud platforms including AWS, Azure, or Google Cloud for data storage and analyticsintermediate
  • Python or R for data analysis and automation scriptingintermediate
  • Knowledge of real estate data standards (e.g., IFRS, GAAP for property reporting)intermediate
  • Financial analytics and reporting expertise in banking contextsintermediate
  • Agile methodologies and project management in cross-functional teamsintermediate
  • Strong communication and stakeholder management skillsintermediate
  • Problem-solving and analytical thinking for complex data challengesintermediate
  • Regulatory compliance awareness in financial servicesintermediate
  • Experience with big data technologies like Hadoop or Sparkintermediate
  • Attention to detail in data governance and quality assuranceintermediate
  • Leadership and mentoring abilities in a collaborative environmentintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Finance, or a related field; advanced degree preferred (experience)
  • Minimum of 5 years of experience in data architecture, analytics, or reporting within the financial services industry (experience)
  • Proven track record in designing and implementing data solutions for real estate or asset management domains (experience)
  • Strong understanding of regulatory requirements in financial reporting, such as SEC and Basel standards (experience)
  • Experience with enterprise data platforms and tools used in large-scale financial institutions (experience)
  • Ability to collaborate across cross-functional teams in a global banking environment (experience)

Preferred Qualifications

  • Master's degree in Data Science, Business Analytics, or equivalent (experience)
  • Experience working at a major financial institution like JP Morgan Chase or similar (experience)
  • Certification in cloud architecture (e.g., AWS Certified Solutions Architect) or data management (e.g., CDMP) (experience)
  • Prior involvement in real estate analytics projects supporting corporate real estate strategies (experience)
  • Familiarity with JP Morgan's internal data governance frameworks (experience)

Responsibilities

  • Design and architect data models and reporting frameworks to deliver actionable real estate analytics for JP Morgan Chase's global operations
  • Develop automation solutions to streamline data processes, enhancing efficiency in real estate portfolio management and decision-making
  • Collaborate with stakeholders across Corporate Real Estate, Finance, and Technology teams to align data strategies with firm-wide initiatives
  • Ensure data integrity, compliance, and security in all reporting outputs, adhering to financial industry regulations
  • Lead the integration of disparate data sources from real estate systems, financial databases, and external vendors
  • Provide insights and recommendations to senior leadership on real estate trends, cost optimization, and risk assessment through advanced analytics
  • Mentor junior team members and drive best practices in data domain architecture within the Analytics Solutions & Delivery group
  • Monitor and optimize data performance, scalability, and reporting tools to support strategic business objectives
  • Participate in innovation projects, such as AI-driven forecasting for real estate investments at JP Morgan Chase

Benefits

  • general: Comprehensive medical, dental, and vision insurance plans with employer contributions
  • general: 401(k) retirement savings plan with generous company matching up to 6% of eligible compensation
  • general: Annual performance-based bonuses and stock awards as part of total compensation
  • general: Paid time off including vacation, sick days, and parental leave
  • general: Professional development programs, including tuition reimbursement and access to internal training at JP Morgan Chase University
  • general: Wellness programs with gym memberships, mental health support, and employee assistance services
  • general: Flexible work arrangements, including hybrid options in Tempe, AZ
  • general: Employee stock purchase plan and financial planning resources tailored to financial services professionals

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JP Morgan Chase logo

Data Domain Architect and Reporting: Senior Associate

JP Morgan Chase

Engineering Jobs

Data Domain Architect and Reporting: Senior Associate

full-timePosted: Nov 20, 2025

Job Description

Data Domain Architect and Reporting: Senior Associate

Location: Tempe, AZ, United States

Job Family: Analytics Solutions & Delivery

About the Role

As a Data Domain Architect and Reporting Senior Associate at JP Morgan Chase, you will play a pivotal role in the Analytics Solutions & Delivery team, focusing on real estate analytics and automation. Based in our state-of-the-art facility in Tempe, AZ, you will architect robust data solutions that empower strategic decision-making for the firm's global real estate portfolio. This position involves designing scalable data models, implementing automation workflows, and delivering insightful reports that support initiatives like property optimization, cost forecasting, and risk management across JP Morgan's Corporate Real Estate and broader financial operations. Your work will directly influence firm-wide strategies, ensuring data-driven insights align with the bank's commitment to innovation and excellence in financial services. In this role, you will collaborate with diverse teams including finance, technology, and real estate experts to integrate complex datasets from internal systems, market intelligence sources, and regulatory feeds. You will lead the development of advanced reporting dashboards and automation tools that enhance operational efficiency, reduce manual processes, and provide real-time visibility into real estate assets valued in the billions. At JP Morgan Chase, a leader in global banking, your contributions will adhere to stringent data governance standards, ensuring compliance with financial regulations while leveraging cutting-edge technologies to drive actionable analytics that inform executive decisions and support sustainable growth. We seek a proactive professional passionate about the intersection of data architecture and financial real estate. This Senior Associate position offers opportunities for career advancement within one of the world's most respected financial institutions, where you will contribute to high-impact projects that shape the future of asset management. Join JP Morgan Chase in Tempe, AZ, and be part of a dynamic team dedicated to transforming data into strategic value for clients and the firm alike.

Key Responsibilities

  • Design and architect data models and reporting frameworks to deliver actionable real estate analytics for JP Morgan Chase's global operations
  • Develop automation solutions to streamline data processes, enhancing efficiency in real estate portfolio management and decision-making
  • Collaborate with stakeholders across Corporate Real Estate, Finance, and Technology teams to align data strategies with firm-wide initiatives
  • Ensure data integrity, compliance, and security in all reporting outputs, adhering to financial industry regulations
  • Lead the integration of disparate data sources from real estate systems, financial databases, and external vendors
  • Provide insights and recommendations to senior leadership on real estate trends, cost optimization, and risk assessment through advanced analytics
  • Mentor junior team members and drive best practices in data domain architecture within the Analytics Solutions & Delivery group
  • Monitor and optimize data performance, scalability, and reporting tools to support strategic business objectives
  • Participate in innovation projects, such as AI-driven forecasting for real estate investments at JP Morgan Chase

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Finance, or a related field; advanced degree preferred
  • Minimum of 5 years of experience in data architecture, analytics, or reporting within the financial services industry
  • Proven track record in designing and implementing data solutions for real estate or asset management domains
  • Strong understanding of regulatory requirements in financial reporting, such as SEC and Basel standards
  • Experience with enterprise data platforms and tools used in large-scale financial institutions
  • Ability to collaborate across cross-functional teams in a global banking environment

Preferred Qualifications

  • Master's degree in Data Science, Business Analytics, or equivalent
  • Experience working at a major financial institution like JP Morgan Chase or similar
  • Certification in cloud architecture (e.g., AWS Certified Solutions Architect) or data management (e.g., CDMP)
  • Prior involvement in real estate analytics projects supporting corporate real estate strategies
  • Familiarity with JP Morgan's internal data governance frameworks

Required Skills

  • Data modeling and architecture (e.g., ER diagrams, dimensional modeling)
  • SQL and advanced querying for large-scale financial datasets
  • ETL processes using tools like Informatica or Talend
  • Business intelligence tools such as Tableau, Power BI, or QlikView
  • Cloud platforms including AWS, Azure, or Google Cloud for data storage and analytics
  • Python or R for data analysis and automation scripting
  • Knowledge of real estate data standards (e.g., IFRS, GAAP for property reporting)
  • Financial analytics and reporting expertise in banking contexts
  • Agile methodologies and project management in cross-functional teams
  • Strong communication and stakeholder management skills
  • Problem-solving and analytical thinking for complex data challenges
  • Regulatory compliance awareness in financial services
  • Experience with big data technologies like Hadoop or Spark
  • Attention to detail in data governance and quality assurance
  • Leadership and mentoring abilities in a collaborative environment

Benefits

  • Comprehensive medical, dental, and vision insurance plans with employer contributions
  • 401(k) retirement savings plan with generous company matching up to 6% of eligible compensation
  • Annual performance-based bonuses and stock awards as part of total compensation
  • Paid time off including vacation, sick days, and parental leave
  • Professional development programs, including tuition reimbursement and access to internal training at JP Morgan Chase University
  • Wellness programs with gym memberships, mental health support, and employee assistance services
  • Flexible work arrangements, including hybrid options in Tempe, AZ
  • Employee stock purchase plan and financial planning resources tailored to financial services professionals

JP Morgan Chase is an equal opportunity employer.

Locations

  • Tempe, US

Salary

Estimated Salary Rangehigh confidence

140,000 - 220,000 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 diagrams, dimensional modeling)intermediate
  • SQL and advanced querying for large-scale financial datasetsintermediate
  • ETL processes using tools like Informatica or Talendintermediate
  • Business intelligence tools such as Tableau, Power BI, or QlikViewintermediate
  • Cloud platforms including AWS, Azure, or Google Cloud for data storage and analyticsintermediate
  • Python or R for data analysis and automation scriptingintermediate
  • Knowledge of real estate data standards (e.g., IFRS, GAAP for property reporting)intermediate
  • Financial analytics and reporting expertise in banking contextsintermediate
  • Agile methodologies and project management in cross-functional teamsintermediate
  • Strong communication and stakeholder management skillsintermediate
  • Problem-solving and analytical thinking for complex data challengesintermediate
  • Regulatory compliance awareness in financial servicesintermediate
  • Experience with big data technologies like Hadoop or Sparkintermediate
  • Attention to detail in data governance and quality assuranceintermediate
  • Leadership and mentoring abilities in a collaborative environmentintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Finance, or a related field; advanced degree preferred (experience)
  • Minimum of 5 years of experience in data architecture, analytics, or reporting within the financial services industry (experience)
  • Proven track record in designing and implementing data solutions for real estate or asset management domains (experience)
  • Strong understanding of regulatory requirements in financial reporting, such as SEC and Basel standards (experience)
  • Experience with enterprise data platforms and tools used in large-scale financial institutions (experience)
  • Ability to collaborate across cross-functional teams in a global banking environment (experience)

Preferred Qualifications

  • Master's degree in Data Science, Business Analytics, or equivalent (experience)
  • Experience working at a major financial institution like JP Morgan Chase or similar (experience)
  • Certification in cloud architecture (e.g., AWS Certified Solutions Architect) or data management (e.g., CDMP) (experience)
  • Prior involvement in real estate analytics projects supporting corporate real estate strategies (experience)
  • Familiarity with JP Morgan's internal data governance frameworks (experience)

Responsibilities

  • Design and architect data models and reporting frameworks to deliver actionable real estate analytics for JP Morgan Chase's global operations
  • Develop automation solutions to streamline data processes, enhancing efficiency in real estate portfolio management and decision-making
  • Collaborate with stakeholders across Corporate Real Estate, Finance, and Technology teams to align data strategies with firm-wide initiatives
  • Ensure data integrity, compliance, and security in all reporting outputs, adhering to financial industry regulations
  • Lead the integration of disparate data sources from real estate systems, financial databases, and external vendors
  • Provide insights and recommendations to senior leadership on real estate trends, cost optimization, and risk assessment through advanced analytics
  • Mentor junior team members and drive best practices in data domain architecture within the Analytics Solutions & Delivery group
  • Monitor and optimize data performance, scalability, and reporting tools to support strategic business objectives
  • Participate in innovation projects, such as AI-driven forecasting for real estate investments at JP Morgan Chase

Benefits

  • general: Comprehensive medical, dental, and vision insurance plans with employer contributions
  • general: 401(k) retirement savings plan with generous company matching up to 6% of eligible compensation
  • general: Annual performance-based bonuses and stock awards as part of total compensation
  • general: Paid time off including vacation, sick days, and parental leave
  • general: Professional development programs, including tuition reimbursement and access to internal training at JP Morgan Chase University
  • general: Wellness programs with gym memberships, mental health support, and employee assistance services
  • general: Flexible work arrangements, including hybrid options in Tempe, AZ
  • general: Employee stock purchase plan and financial planning resources tailored to financial services professionals

Target Your Resume for "Data Domain Architect and Reporting: Senior Associate" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Data Domain Architect and Reporting: Senior Associate. Takes only 15 seconds!

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

Check Your ATS Score for "Data Domain Architect and Reporting: Senior Associate" , 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 and Reporting: Senior Associate @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.