Data Pipeline - Product Manager

Job Description
Ready to shape the future of product delivery while crafting solutions that enhance and optimize customer experiences?
As a Product Manager, within the Data Pipeline Team, you will enhance and optimize the way products are delivered to customers and 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, at the same time, 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.
• 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 and 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.

Required qualifications, capabilities, and skills:

• 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.
• Strong technical track record working closely with architecture, engineering teams, and partners (Risk, Compliance, Production Support, etc.) 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.

Preferred qualifications, capabilities, and skills:

• 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.

About Us
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, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation awarded in recognition of 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.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.