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 a Vice President, Senior AI/ML Product Manager in the Machine Learning Center of Excellence, 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 (MLCoE) 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.

For more information about our Applied AI and Machine Learning team, please see this link: https://www.jpmorgan.com/insights/technology/applied-ai-and-ml?source=cib_di_jp_taofW0619
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

Defining a strategy and roadmap for MLCOE’s NLP workstream, championing it, and generating ROI. Working with stakeholders across various businesses (Markets, Investment Banking, Consumer Banking etc.) and functional groups (Legal, Operations, Technology, Finance) to understand user needs, define solutions, assess impact, create PRDs and ship products. Collaborate closely with cross-functional teams to direct and oversee the planning and execution of the roadmap.  Assist the curation of NLP libraries and promoting reuse through improved discoverability, marketing and documentation. Providing updates on the portfolio and engagements to senior management and stakeholders.

Required qualifications, capabilities and skills

6+ years of experience in product management and a track record of owning winning product strategies, balancing short-term wins and long-term vision. Candidates with highly relevant non-product management experience will be considered on a case-by-case basis.  Exceptional communication and analytical skills. Must be able to manage multiple initiatives and influence key stakeholders, including management, customers, data science and engineering teams.  Real-world experience working with NLP products. 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