Overview

The Cryptographic Security team designs, builds and supports service platforms that provide cryptographic and key management functions utilized by global Client application teams. As a Senior Product Manager - Technical, you will collaborate with cross-functional teams to drive data-driven decision-making and contribute to the continuous improvement of our data infrastructure.

As a Senior Technical Product Manager:

• Responsible for developing inspiring platform/product visions, derived from business needs, market opportunities, and technology trends
• Using the Working Backwards method, decomposes business requirements and customer experiences into features and functions that drive the platform/product roadmap
• Works with Technical Program Managers, Developers, UX designers, and internal customers to define the details behind the business requirements
• Collects and shares user stories with engineering teams
• Acts as the voice of the business customer and accountable for the platform services

Responsibilities

• Collaborate with technical team and business stakeholders to understand data requirements and translate them into technical solutions
• Contributes near-term input (quarterly) for the platform product portfolio and roadmap, prioritizing the backlog while defining the acceptance criteria for user stories
• Recommends trade-off decisions on platform product features/depth of features/backlog items
• Work with large datasets, ensuring data quality, accuracy, and performance
• Continuously monitors feature development at the feature level adjusting throughout implementation as needed
• Reviews product demo against acceptance criteria for the feature set
• Prepares launches and monitors platform performances, adoption, and operational health for feature sets
• Stays aligned with GTM plans for the feature set
• Mentors team members
• Assists with candidate selection and onboarding

All About You

• Bachelor’s or master’s degree in computer science, Engineering, or a related field
• In-depth understanding of data warehousing concepts, cloud platforms (AWS, Azure, GCP), and data modeling techniques
• Strong knowledge of SQL and NoSQL databases, as well as data integration and transformation tools
• Passion for and engagement with emerging trends in data, AI/ML, analytics, and digital experiences
• Experience in data product development, analytical models, and model governance
• Experience in anonymizing data and managing the use of data
• Experience in data hygiene procedures, identity resolution capabilities or data management a plus
• Experience with agile methodologies and DevOps practices