Director of Software Engineering - Asset Wealth Management / Climate Risk (AI / ML)

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 Corporate Technology division, you will lead a technical area, influencing teams and projects across various departments. Your expertise in software, applications, and technical processes will be crucial in managing multiple complex projects, including the strategic direction for Asset Wealth Management (AWM) Risk and Climate Risk in Glasgow.

Collaborating with regional leads to promote the overall program, you will also focus on AI/ML deliveries for AWM & Climate Risk multi-year initiatives. Additionally, you will spearhead the Climate Risk Environmental & Social (E&S) Score project, developing a data ingestion, calculation, and visualization platform.,

• Provides visionary leadership to Glasgow team, works with current Glasgow Leads and continues to build the leadership and team expertise, ensuring a forward-looking and innovative approach to AWM Risk and Climate Risk programs


• Heads key business deliveries focused on AI/ML ensuring it is aligned to the Corporate Technology modernization strategy


• Oversees 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
  
  Formal training or certification on software engineering concepts and expert applied experience. In addition, advanced experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise


• Expertise in Computer Science, Computer Engineering, Mathematics, AI/ML or a related technical field


• Demonstrated ability to drive cultural change without direct team ownership across a globally diverse organization


• Experience developing or leading cross-functional teams of technologists


• Experience with hiring, developing, and recognizing talent


• Experience in agile transformation at scale


• Experience working with Site Reliability Engineering (SRE) and Support teams to foster a culture of observability, maintainability and constantly work toward meeting SLIs/SLOs as well as helping to assess and maintain them


• Experience in developing and deploying machine learning models in real-world application, Experience with natural language processing (NLP) and computer vision


• Experience in working with and leveraging a data driven approach to decision making


• Practical cloud native experience