Director of Software Engineering - AI Experiment Engineering

Aumni

Aumni

Software Engineering, Data Science
Palo Alto, CA, USA
Posted on Aug 17, 2024

Job Description

If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you.

As a Director of Software Engineering at JPMorgan Chase within the Core Engineering team, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.

Job responsibilities

  • Leads technology and process implementations to achieve functional technology objectives
  • Makes decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
  • Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
  • Delivers technical solutions that can be leveraged across multiple businesses and domains
  • Influences peer leaders and senior stakeholders across the business, product, and technology teams
  • Champions the firm’s culture of diversity, equity, inclusion, and respect
  • Leads a team of ML Engineers, Data Scientists, and Data Engineers to prototype new AI experiments impacting software engineers and the software development lifecycle, including knowledge discovery, software development, monitoring, and operations
  • Drives innovation in AI/ML model development and ensures alignment with software engineering best practices and data science principles

Required qualifications, capabilities, and skills

  • [Action Required: Insert 1st bullet according to Years of Experience table]
  • Experience developing or leading cross-functional teams of technologists
  • Experience with hiring, developing, and recognizing talent
  • Experience leading a product as a Product Owner or Product Manager
  • Practical cloud native experience
  • Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
  • Proven experience managing AI/ML model development teams
  • Strong understanding of data science principles and their application in software engineering

Preferred qualifications, capabilities, and skills

  • Experience working at code level