Data and Analytics - Product Manager VP

Shape the future of product delivery while crafting solutions that enhance and optimize customer experiences. Lead end-to-end processes, manage dependencies, and liaise with stakeholders as part of a team at the forefront of innovation.

As a Product Manager, you will enhance and optimize the way products are delivered to customers. As a key member of the team, you will create solutions and efficiencies that enable successful implementations in an expedient and organized way.

 

Job 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.
• Bring a curious, innovative, and collaborative approach to addressing challenges.
• 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.

 

Required Qualifications, Capabilities & Skills:

• Data Engineering Expertise: 5+ years of experience with ETL processes, including the design, development, and management of ETL workflows.
• Data Streaming Expertise: 2+ years of experience in the data streaming or big data domain with hands-on experience in Confluent, Flink, and Kafka.
• Product Management Skills: Experience defining product vision, strategy, and roadmap, and delivering products that align with business needs and customer expectations.
• Product Delivery: Strong technical track record working closely with architecture, engineering teams, and partners (Risk, Compliance, Production Support, etc.) from design through deployment.
• Data Architecture: Strong understanding of data architecture principles and best practices, and familiarity with data lake, data lakehouse, data movement, and data migration.
• Cloud Architecture: Solid understanding of cloud architectures and experience with cloud-based ETL services such as AWS Glue, S3, EMR, Lambda.
• Enterprise Data Management: Knowledgeable in the requirements to ensure data quality, governance, and security throughout an enterprise-scale organization.
• Leadership and Individual Contribution: Ability to excel as an independent high-performing contributor while also providing leadership and mentorship to team members.
• Stakeholder Management: Able to effectively manage and influence stakeholders at all organizational levels, including both technical and non-technical audiences.
• Data Streaming Expertise: 4+ years of experience in the data streaming or big data domain with hands-on experience in Confluent, Flink, and Kafka.

 

Preferred Qualifications:

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

 

 

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelon