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