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 Banking's (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 firm. 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.