Job Description
The Applied AI and Machine Learning Center of Excellence (ML CoE) teams partner 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 ML CoE works together to employ cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning.
As a Vice President, Senior AI/ML Product Manager in the Data & AI Product Team, you will have the unique opportunity to be a critical player in our firm-wide transformational efforts to shape up the future of banking. You will be partnering with data scientists in the firm-wide Machine Learning Center of Excellence (ML CoE) teams to build and manage firm-wide analytics products. You will be a key member of a cross-functional team of data scientists, engineers, architects, designers 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.
Job Responsibilities
- Planning, goal-setting, roadmaps, requirements gathering, stakeholder management and on-going support of products that meet both strategic, business and regulatory demands
- Defining a strategic vision and roadmap for the product and being the evangelist for that vision across functions
- Working with stakeholders across the various businesses (Markets, Operations, Investment Banking, etc.) and functional groups (Legal, Technology, Middle Office, Business Management) to collect business requirements, create PRDs and ship products
- Managing and prioritize initiatives that are requested by stakeholders
- Planning and performing testing of new functionality and regression testing
- Providing updates on the project status to senior management and stakeholders
Required Qualifications, Capabilities And Skills
- 6+ years of experience in product management
- 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.
- 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.
- Knowledge 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 banking industry is a plus
- Knowledge of 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
- Practical knowledge of JIRA to build roadmaps