Product Manager [Multiple Positions Available]

JPMorgan Chase • Jersey City, NJ

114d • $185,000 - $201,000

About The Position

The position involves developing and implementing new features to enhance the capabilities of Data Lake for analytics, AI, and ML use cases. The role requires coordinating deliverables with data owners, data engineers, and stakeholders to ensure timely progress on key projects and initiatives. The candidate will assess the current state of Data Lake datasets and identify opportunities for improvement and innovation in data storage, processing, and catalog services. Additionally, the role includes developing and maintaining comprehensive roadmaps that align with strategic objectives, prioritizing the evolution of data assets for Data Lake publication and consumption, and collaborating with cross-functional teams to design and deliver scalable solutions that meet business needs. The candidate will also monitor industry trends and emerging technologies to inform product development and maintain a competitive edge in data management and analytics, while communicating with stakeholders to provide updates on project status and gather feedback.

Requirements

• Master's degree in Computer Science, Computer Engineering, Information Technology, Mathematics, or related field plus 5 years of experience, or Bachelor's degree plus 7 years of experience.
• Experience coordinating and managing the product lifecycle from ideation to deployment.
• Ability to translate technical concepts into product requirements and user stories.
• Experience managing storage and governance of datasets using AWS Lake Formation and S3.
• Experience publishing datasets using Spark and Python via AWS Glue, EMR, and EKS.
• Experience validating auditability and observability of datasets using CloudWatch and Cloudtrail.
• Experience providing infrastructure for datasets using Terraform and CI/CD processes.
• Experience providing visibility into consumption using BI tools including Amazon Athena and AWS Quicksight.
• Experience communicating insights using data visualization tools including Datadog, Prometheus, and Grafana.
• Experience forecasting trends using regression analysis and time series forecasting.
• Experience building scalable data lake products using Apache Spark and large-scale processing engines.
• Experience developing customer use cases using ML/AI frameworks including Tensorflow and AWS Bedrock.
• Experience translating AI/ML requirements into actionable tasks.
• Experience collaborating with engineering teams for quality assurance.
• Experience designing and testing APIs built on open-source technologies.
• Experience maintaining data lake user stories and backlogs.
• Experience assessing datasets for quality and compliance gaps.
• Experience facilitating and documenting roadmap reviews using Confluence and Monday.com.
• Experience delivering solutions for accessing and processing business insights.
• Experience managing product backlogs.
• Experience writing functional requirements.

Responsibilities

• Develop and implement new features for Data Lake.
• Coordinate deliverables with data owners, data engineers, and stakeholders.
• Assess current Data Lake datasets and identify improvement opportunities.
• Develop and maintain roadmaps aligning with strategic objectives.
• Prioritize evolution of data assets for publication and consumption.
• Collaborate with cross-functional teams to design scalable solutions.
• Monitor industry trends and emerging technologies.
• Communicate with stakeholders for project updates and feedback.

Benefits

• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Credit Intermediation and Related Activities
• Education Level: Master's degree