Leading strategic planning, goal-setting, roadmaps, requirements gathering, stakeholder management, and ongoing support of products that meet both strategic, business, and regulatory demands Defining and championing a strategic vision and roadmap for the product and being the evangelist for that vision across all functions Engaging with senior stakeholders across various businesses (Markets, Operations, Investment Banking, etc.) and functional groups (Legal, Technology, Middle Office, Business M... more details
The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
The Machine Learning Center of Excellence (MLCOE) partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. Comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning, the MLCOE works together to employ cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning.
As an AI Product Director in the Machine Learning Center of Excellence, you will have the unique opportunity to be a pivotal leader in our firm-wide transformational efforts to shape the future of banking. You will be partnering with senior data scientists in the MLCOE and lines of businesses to build and manage firm-wide analytics products. You will be a key leader of a cross-functional team of data scientists, engineers, architects, designers, annotators, and project managers and will have the chance to shape your product's vision, strategy, adoption, and manage ongoing stakeholder demand. You will push the boundaries of what is possible and innovate quickly in a rapidly evolving field.
For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe. To learn about how we're using AI/ML to drive transformational change, please read this blog: https://www.jpmorgan.com/insights/technology/technology-blog?source=cib_di_jp_aBtechblog102
Job Responsibilities
- Leading strategic planning, goal-setting, roadmaps, requirements gathering, stakeholder management, and ongoing support of products that meet both strategic, business, and regulatory demands
- Defining and championing a strategic vision and roadmap for the product and being the evangelist for that vision across all functions
- Engaging with senior stakeholders across various businesses (Markets, Operations, Investment Banking, etc.) and functional groups (Legal, Technology, Middle Office, Business Management) to collect business requirements, create PRDs, and deliver products
- Overseeing and prioritizing high-impact initiatives requested by stakeholders
- Directing and overseeing the planning and execution of testing for new functionality and regression testing
- Providing comprehensive updates on project status to senior management and stakeholders, ensuring alignment and transparency
Required qualifications, capabilities, and skills
- 9+ years of experience in product management, with a proven track record of leadership and strategic impact
- Strong track record of owning and developing a product domain strategy and roadmap. Able to balance short-term goals and long-term vision.
- Experience capturing and analyzing requirements (internal and external) and translating them into a viable product through agile development is a must. Able to build strong partnerships with technical teams.
- Deep knowledge of the data ecosystem, spanning from data ingestion, data engineering, data quality, data orchestration, end-to-end infrastructure, usage/consumption, and data privacy considerations and governance.
- Comprehensive understanding of the ML workflow, spanning from annotation, model training, model serving, scoring, pre/post processing, productionization, and feedback capture
Preferred qualifications, capabilities, and skills
- Proven experience in business analysis and driving operational change/system development. Able to identify critical requirements and potential gaps by understanding complex and interdependent processes.
- Proven experience with Operations and/or Front Office and/or Consulting within the banking industry is a plus
- Knowledge of AI/ML, Cloud (AWS) computing and architecture, Big Data management technologies, and ML platform tools is a plus
- Strong knowledge of MS tools; Excel, PowerPoint, Project, Visio, SharePoint or other collaboration tools (Figma, Lucid)
- Practical knowledge of JIRA to build roadmaps
