Business Analytics Engineer Vice President
Company: JPMorgan Chase & Co.
Location: Chicago
Posted on: April 2, 2026
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Job Description:
Description The Vice President of Business Analytics Engineering
will spearhead the integration of cutting-edge data solutions to
drive strategic growth and innovation. Your leadership will empower
cross-functional teams to transform complex data into actionable
insights, ensuring our organization stays ahead of industry trends
and meets evolving customer demands. By leveraging your expertise,
we will enhance decision-making processes and unlock new
opportunities for sustainable success. As a Vice President of
Business Analytics Data Engineering within our dynamic Data
Modeling team, you will play a crucial role in overseeing Data
Procurement, Data Architecture, Data Curation, and the strategic
direction of Data Modeling for the Commercial & Investment Bank’s
Global Services function. You will collaborate directly with senior
stakeholders and technical teams, gaining a deep understanding of
core business processes. Your contributions will be vital in the
development of people, processes, and technology necessary to
support a best-in-class organization. You will also lead the
creation of executive presentations that provide insights into the
platform's health Job responsibilities: Design, develop, and
maintain efficient and scalable data pipelines to support analytics
and reporting needs. Architect and implement data models and
transformations to ensure data is organized and accessible for
analysis. Participate in Agile development processes, including
sprint planning, stand-ups, and retrospectives. Develop and
maintain the overall data architecture, ensuring it aligns with
business requirements and industry best practices. Collaborate with
data analysts and data scientists to understand data requirements
and translate them into technical specifications. Work with
cross-functional teams to integrate data from various sources and
systems, including APIs, KAFKA Streams, NoSQL databases etc Work
with JSON data structures for data exchange, storage, and
processing. Optimize data workflows and processes to improve
performance, reliability, and scalability. Ensure data quality and
integrity through validation, testing, and monitoring. Stay
up-to-date with industry trends and best practices in data
engineering, architecture, and analytics. Required qualifications,
capabilities, and skills: 6 years of work experience within
Analytics, Information Systems, Operations Research and/or
Management Consulting roles. Bachelor's degree in Computer Science,
Data Science, Engineering, or a related field. Proven experience as
an Analytics Engineer, Data Architect, Data Engineer, or in a
similar role. Strong proficiency in SQL and experience with data
modeling and ETL processes. Proficiency in working with JSON data
structures for data exchange, storage, and processing. Experience
with data warehousing solutions such as Snowflake, Redshift, or
Databricks. Experience with programming languages such as Python or
R. Knowledge of data architecture principles and best practices.
Experience designing and implementing APIs for data access and
integration. Preferred qualifications, capabilities, and skills:
Experience with data visualization tools like Tableau, Power BI, or
Looker is a plus. Work experience in Financial Services is a plus
Excellent problem-solving skills and attention to detail. Strong
communication and collaboration skills. Familiarity with NoSQL
databases such as MongoDB, Cassandra, or DynamoDB.
Keywords: JPMorgan Chase & Co., Elgin , Business Analytics Engineer Vice President, IT / Software / Systems , Chicago, Illinois
