Product Manager Data Management – Catalog & Lineage

Ignite your passion for product innovation by leading customer-centric development inspiring solutions and shaping the future with your strategic vision and influence.

As a Product Manager in Consumer & Community Bankings (CCB) Data & Analytics space you lead innovation through the development of products and features that delight customers. As a leader on the team you leverage your advanced capabilities to challenge traditional approaches remove barriers to success and foster a culture of continuous innovation that helps inspire cross-functional teams create groundbreaking solutions that address customer needs.

Data & Analytics is seeking a Product Manager in Product Management helping to lead Metadata Management Data Modeling Solutions. Drive organization wide platform strategy and user interface development with a focus on large-scale product strategy and ensuring consistent messaging across the ideal candidate is a platform-oriented product leader with deep experience in cloud native infrastructure and strong understanding of enterprise-scale data systems.

Job Responsibilities

• Lead the product lifecycle for the Datahub-based catalog and lineage platform focusing on data cataloging lineage search and discoverability.
• Develop and communicate a clear product roadmap aligning strategic vision with execution and delivery.
• Drive platform capabilities and integration with multiple data platforms applications and services.
• Collaborate with stakeholders across CCB-CDO sub-line of business partners cloud platform owners technical teams business portfolio leads product owners data owners compliance security and governance to understand needs prioritize features and ensure regulatory alignment.
• Manage the technical backlog and prioritize features based on business value technical feasibility and stakeholder input.
• Prototype and validate new features leveraging hands-on technical skills to demonstrate feasibility and value.
• Drive product marketing efforts including demos presentations and consistent messaging across diverse portfolios and stakeholder groups.
• Partner with engineering to deliver scalable reliable and secure platform solutions.
• Embed AI/ML-driven discovery and observability into the product vision and roadmap.
• Monitor industry trends in data cataloging metadata management and data governance to inform product strategy.

• Lead change management initiatives to drive adoption foster a culture of data stewardship and literacy and support organizational transformation.

Required Qualifications Capabilities and Skills

• 5 years of experience in product management with a focus on data management cataloging lineage or related platforms.
• Moderate hands-on technical experience (e.g. prototyping technical feasibility assessments).
• Strong understanding of data cataloging lineage search and metadata management concepts.
• Experience with Datahub or similar catalog platforms (e.g. Collibra Alation Informatica).
• Proven ability to bridge business and technical requirements with excellent communication skills for both audiences.
• Experience collaborating with diverse stakeholders including data owners technical teams business leads compliance security and governance.
• Experience in product marketing including demoing and positioning products to internal and external audiences.
• Strong grasp of data architecture principles including APIs streaming and lineage.
• Experience managing technical backlogs and driving consistent messaging across diverse portfolios.
• Familiarity with AI/ML-driven data discovery or observability.

• Solution-oriented practical approach to problem-solving and have the ability to drive change and adoption within large organizations.

Preferred Qualifications Capabilities and Skills

• Experience with platform product management (catalog as a service).
• Experience driving adoption and cultural change for data platforms.
• Advanced degree in a related field (e.g. Computer Science Information Systems Business).
• Experience with cloud-native data platforms and integration patterns.