JPMorgan Chase - Jersey City, NJ
posted about 2 months ago
Full-time - Mid Level
Jersey City, NJ
Credit Intermediation and Related Activities
About the position
The Senior Product Associate on the CAO Data Strategy team is responsible for bridging the gap between strategic vision and hands-on implementation within the Chief Administrative Office's Chief Data & Analytics Office. This role focuses on managing the lifecycle of AI/ML products, driving the execution of the CAO AI/ML Program, and ensuring seamless deployment and scalability of data solutions that support various functional areas across the firm.
Responsibilities
- Lead product lifecycle activities including discovery, ideation, strategic development, requirements definition, and value management.
- Plan, perform, and oversee testing of new functionality and regression testing.
- Develop detailed project plans, timelines and ensure delivery against said timelines.
- Ensure seamless deployment and scalability of AI products by guiding team members and stakeholders through the DevOps and MLOps lifecycle.
- Establish standardized methods, procedures, and documentation for all stages of the MDLC, including user testing, performance evaluation, and escalation processes.
- Implement CI/CD (Continuous Integration / Continuous Deployment) processes for AI models and collaborate with CAO Technology engineers to streamline deployment pipelines.
- Develop and implement an organized request intake process.
- Maintain and report on initiative inventory, ensuring clear visibility of active, delayed, and prioritized initiatives to senior leadership.
- Act as the voice of the Data Science team, communicating effectively across disciplines and summarizing technical concepts for business stakeholders.
- Collaborate with the tech organization to prioritize technical tasks and secure necessary resources for deployment, pipeline management, and production.
- Continuously engage with different parts of the LOB to generate new business opportunities and problem statements.
Requirements
- 4+ years of work experience, with 2+ years in MLOps, DevOps, technology product management, or a related discipline.
- Proven ability to lead product lifecycle activities and manage high-impact AI products.
- Knowledge of the ML workflow, including annotation, model training, model serving, scoring, pre/post processing, productionization, and feedback capture.
- Excellent written and verbal communication skills, with the ability to translate business needs into product features through agile development.
- Strong organizational, multitasking, and prioritization skills, with the ability to coordinate and delegate across functional groups.
- Inquisitive, enthusiastic, and diligent, with the capability to challenge peers and present ideas to Senior Management.
Nice-to-haves
- Technical or Advanced degree a plus.
Benefits
- Comprehensive health care coverage
- On-site health and wellness centers
- Retirement savings plan
- Backup childcare
- Tuition reimbursement
- Mental health support
- Financial coaching
