JPMorganChase · 3 months ago
Data Domain Architect Lead- Operations Product
JPMorganChase is seeking a Data Domain Architect Lead- Operations Product to join their Workforce Planning team. This role involves analyzing complex data sets, developing data automation scripts, and collaborating with cross-functional teams to support business operations and improve processes.
Asset ManagementBankingFinancial Services
Responsibilities
Analyze and interpret complex data sets using Alteryx, Databricks, and Notebooks and deeply explore data to uncover trends, anomalies, and actionable insights for business operations
Develop and maintain Python scripts for data automation, transformation, and testing and design, implement, and manage automated scheduling solutions for data workflows (e.g., Airflow, Control M)
Reverse engineer existing processes and workflows to improve efficiency and scalability and collaborate with end users to gather requirements and understand business needs
Develop and maintain comprehensive documentation for data models, ETL procedures, and data workflows
Build, test, and validate data pipelines, including developing test scenarios and assisting in UAT
Work closely with engineering and cross-functional teams for successful project implementation
Provide insights and recommendations based on data analysis to support business decision-making
Work autonomously to achieve objectives and meet deadlines & identify new opportunities for process improvements and automation
Qualification
Required
Advanced technical knowledge of data management, governance, data architecture, and big data platforms (AWS, Databricks, Snowflake)
Strong experience in Python programming for data wrangling, automation, and testing
Proficiency in Alteryx for data preparation, blending, and analysis and experience designing, implementing, and optimizing ETL processes and data pipelines
Hands-on experience with scheduling tools (Airflow, Control M, or similar) with strong understanding of data modeling concepts, including operational and analytical data
Proven experience as a Data/Business Analyst, Data Engineer, or similar technical role
Proficiency in SQL and relational databases with experience in reverse engineering processes and workflows
Strong problem-solving skills and attention to detail
Excellent communication skills for conveying technical information to non-technical stakeholders
Comfortable working directly with end users and cross-functional teams
Bachelor's degree in computer science, Information Technology, Business Administration, or a related field
Preferred
Experience in large-scale data handling and analytics
Working experience with Agile methodologies and understanding of Scrum and Kanban boards
Exposure to visualization tools (Tableau, Qlik, Power BI, Looker)
Cloud certification is a plus
Experience with documentation tools (Confluence, Jira)
Exposure to additional automation and scheduling tools
Company
JPMorganChase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
H1B Sponsorship
JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3471)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)
Funding
Current Stage
Public CompanyTotal Funding
unknown1998-02-01IPO
Leadership Team
Recent News
2026-01-13
2026-01-08
Crunchbase News
2026-01-08
Company data provided by crunchbase