Senior Manager of Software Engineering - Data Focus

About the position

When you mentor and advise multiple technical teams and move financial technologies forward, it's a big challenge with big impact. You were made for this. As a Senior Manager of Software Engineering at JPMorgan Chase within the Consumer & Community Banking - Home Lending space, 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 functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.

Responsibilities

• Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• Be accountable for decisions that influence teams' resources, budget, tactical operations, and the execution 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, equity, inclusion, and respect for team members and prioritizes diverse representation

Requirements

• Formal training or certification in Data Engineering concepts with 5+ years of applied experience
• 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise
• Proven experience leading teams of technologists
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
• Experience with hiring, developing, and recognizing talent
• Proven experience in designing and developing large scale data pipelines for batch & stream processing
• Strong understanding of Data Warehousing, Data Lake, ETL processes and Big Data technologies (e.g Hadoop, Snowflake, Databricks, Apache Spark, PySpark, Airflow, Apache Kafka, Java, Open File & Table Formats, GIT, CI/CD pipelines etc.)
• Expertise with public cloud platforms (e.g., AWS, Azure, GCP) and modern data processing & engineering tools
• Experience working at code level and ability to be hands-on performing PoCs, code reviews
• Experience in Data Modeling (ability to design Conceptual, Logical and Physical Models, ERDs and proficiency in data modeling software like ERwin)
• Excellent communication, presentation, and interpersonal skills

Nice-to-haves

• Experience with Data Governance, Data Privacy & Subject Rights, Data Quality & Data Security practices
• Strong understanding of Data Validation / Data Quality
• Experience with supporting large scale AI/ML Data requirements
• Experience in Data visualization & BI tools is a huge plus