AI Product Manager – QCI – Executive Director – Machine Learning Center of Excellence
New York, NY, United States
JPMorgan Chase & Co.
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 Manager – Executive Director within the Quantitative Client Intelligence (QCI) team, 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, 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
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Banking Big Data Consulting Data management Data quality Deep Learning Engineering Excel Jira Machine Learning Model training Privacy Reinforcement Learning Security SharePoint Testing
Perks/benefits: Career development Competitive pay Health care Transparency Wellness
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