Data and Analytics - Product Manager VP

Full-time - Senior

New York, NY

Credit Intermediation and Related Activities

About the position

As a Product Manager VP at JPMorgan Chase, you will shape the future of product delivery by crafting solutions that enhance customer experiences. This role involves leading end-to-end processes, managing dependencies, and collaborating with stakeholders to optimize product delivery. You will be responsible for defining the product roadmap, managing a product backlog, and ensuring compliance with risk and regulatory requirements while driving product strategy and performance improvements.

Responsibilities

• Define roadmap and deliver technology features with a strong focus on scalability, resiliency, and stability.
• Own, maintain, and develop a product backlog that supports the overall strategic roadmap and value proposition.
• Lead delivery of features and enhancements while ensuring adherence to the firm's risk, controls, compliance, and regulatory requirements.
• Effectively manage timelines and dependencies while monitoring blockers, ensuring adequate resourcing, and liaising with stakeholders and functional partners.
• Engage with customers to gather feedback and incorporate it into our product vision, while effectively evangelizing DPL's offerings.
• Develop a product strategy and vision that delivers value to customers and aligns with architectural and product strategy.
• Collaborate with key stakeholders and executive leadership to drive the product strategy, roadmaps, and priorities.
• Partner with technical teams to draft Agile epics and stories with appropriate detail and clear acceptance criteria.
• Monitor and analyze product performance and stability to drive improvements and identify new opportunities.
• Communicate clearly with customers visually and in writing about the product, including formal release announcements, status updates, product marketing pages, and decks.
• Leverage Confluent, Flink, Spark, and Kafka to design and implement robust data streaming solutions that meet business needs and customer expectations.

Requirements

• 5+ years of experience with ETL processes, including the design, development, and management of ETL workflows.
• 2+ years of experience in the data streaming or big data domain with hands-on experience in Confluent, Flink, and Kafka.
• Experience defining product vision, strategy, and roadmap, and delivering products that align with business needs and customer expectations.
• Strong technical track record working closely with architecture, engineering teams, and partners from design through deployment.
• Strong understanding of data architecture principles and best practices, and familiarity with data lake, data lakehouse, data movement, and data migration.
• Solid understanding of cloud architectures and experience with cloud-based ETL services such as AWS Glue, S3, EMR, Lambda.
• Knowledgeable in the requirements to ensure data quality, governance, and security throughout an enterprise-scale organization.
• Ability to excel as an independent high-performing contributor while also providing leadership and mentorship to team members.
• Able to effectively manage and influence stakeholders at all organizational levels, including both technical and non-technical audiences.

Nice-to-haves

• In-depth knowledge and practical experience with AWS services pertinent to data engineering and transformation, such as AWS Glue, S3, EMR, Lambda, and others.
• Experience implementing metadata management solutions to support data lineage, cataloging, and governance efforts.
• Skilled in defining and enforcing data standards to maintain consistency and interoperability across various data systems.

Benefits

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