Sr Manager of Software Engineering

You have the opportunity to unleash your full potential at a world-renowned company and take the lead in shaping the future of technology.

As a Senior Manager of Data Engineering at JPMorgan Chase within the Consumer & Community Banking, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other data users within the firm.

Job responsibilities


* Provides overall direction, oversight, and coaching for a team of entry-level to mid-level data engineers that work on basic to moderately complex tasks


* Makes strategic decisions that influence teams' resources, budget, tactical operations, and implementation of processes and procedures


* Ensures successful collaboration across teams and stakeholders


* Identifies and mitigates issues to execute a book of work while escalating issues as necessary


* Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team


* Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation

Required qualifications, capabilities, and skills


* Formal training or certification on data engineering concepts and 5+ years applied experience.


* Demonstrated coaching and mentoring experience.


* Hands-on experience in writing code using Python libraries such as Pandas, Boto3, PySpark, and Jupyter Notebooks, along with 3+ years of AWS services experience including Glue, Iceberg, S3, Kafka, and AWS.


* Hands-on practical experience delivering system design, application development, testing, and operational stability.


* Collaborate with various stakeholders and independently tackle design and functionality challenges with minimal oversight.


* Proficient in automation and continuous delivery methods.


* Skilled in resolving code issues and proficient in Git for managing repositories and team collaboration.


* Experience and proficiency across the data lifecycle.


* Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision.


* Advanced understanding of agile methodologies, Application Resiliency, and Security.


* Bachelor's degree in data science, Computer Science, Information Systems, Statistics, or a related field.

Preferred qualifications, capabilities, and skills


* Strong Python experience, especially in the context of developing solutions for large financial platforms.


* Strong experience in AWS serverless services including expertise in using AWS Step functions, Lambda, and NoSQL database services


* Experience using AWS Lake Formation service.


* Familiarity with Snowflake/Databricks or other PaaS offerings.


* Experience with metadata management and machine learning.

Chase is a leading financia...