Technical Product Manager - Vice President

Join us and be a part of a team that is redefining the future of data management!!

We are seeking a Technical Product Manager to join our Data Management team within the CCB Data and Analytics organization.

As Product Manager, you will play a crucial role in developing and implementing our enterprise data modeling capabilities.

These capabilities underpin data products, ETL platforms, reporting, and advanced analytics solutions across CCB.

You will work closely with engineering, architecture, data governance, and business stakeholders to define requirements, prioritize features, and oversee the delivery of data modeling solutions.

These solutions will be integrated with SDLC to ensure trusted, scalable, and well-understood data assets.

Key Responsibilities:



* Lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management



* Develop product strategy and vision that delivers value to customers.



* Collaborate closely with engineering teams, Information architects, data owners and product owners to deliver automated solutions for data modeling process and metadata-driven capabilities.



* Define and maintain the product backlog for data modeling solutions.



* Translate complex business requirements into clear functional and technical specifications.



* Facilitate design reviews and working sessions to align modeling approaches, definitions, and data structures.



* Stay informed on industry trends and emerging technologies in data modeling, knowledge graph technologies, metadata management, and data architecture.



* Promote adherence to industry standards for data ontology (e.g., RDF, OWL) and semantic modeling.



* Communicate proposed solutions and insights effectively to stakeholders.

Required Qualifications, Capabilities, and Skills:



* 5+ years of experience as a technical product manager in data-focused products or business analysis.



* Strong analytical and problem-solving skills with attention to details to formulate quantified value driven solutions that address user pain points, and to lead their delivery



* Foundational understanding of data modeling concepts (conceptual, logical, and physical modeling)



* Excellent analytical and communication skills; ability to translate technical concepts to business audiences.

Preferred Qualifications, Capabilities, and Skills:



* Practical experience in modern data processing technologies, e.g., Kafka streaming, DBT, Spark, Airflow, etc.



* Exposure to metadata management, data cataloging, and data governance frameworks.



* Knowledge of data modeling patterns for analytical and operational use cases.



* Demonstrated leadership ability with the capacity to collaborate across teams.



* Creative self-starter with a strong work ethic.



* Experience with agile delivery practices and Jira/Confluence.

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