Senior Technical Product Manager- Data Platforms

Customer-centric product ideation :

• Monitor market trends and conduct user research to identify opportunities that will define data platform products and product features
• Collaborate across divisions with our users (e.g., data engineers, architects, analysts, data scientists) to define data products that meet their critical data and business needs
• Foster a culture of experimentation through MVPs, rapid prototyping, and iterative development, encouraging bold thinking while maintaining a strong bias for execution and learning.
• Translate insights into actionable and prioritized product features

Product delivery through innovation, experimentation, and continuous improvement

• Develop and maintain a transparent, outcomes-based roadmap and backlog, partnering and aligning with key stakeholders, including architecture and engineering functions under the CTO, to sequence capabilities based on business priorities and technical feasibility
• Collaborate with data architecture and engineering teams to co-create the right features, often leading technical discussions with a deep understanding of data platforms and technologies (e.g., AWS, Databricks, Snowflake, integration patterns)
• Conduct usability testing and experimentation to ensure platform features meet user needs
• Manage product launches, coordinating with project managers for on-time and on-budget releases
• Define and monitor key product metrics and analyze product performance to continually improve and drive value, inform roadmap and investment decisions, and measure success

Funding and P&L

• Partner with finance and engineering leadership to allocate budgets across the product portfolio
• Use data-driven frameworks to define and manage the OKRs, P&L, and value realization (ROI) of core platform capabilities and data services

Go-to-market and adoption:

• Develop and execute go-to-market (GTM) strategies in partnership with enablement, communications, and other support teams
• Create approach to socialize products and products features along with onboarding and training materials to ensure adoption

Building out the product function

• Shape a high-performing product culture within the data platform organization, while fostering a culture of innovation and bold thinking
• Mentor junior PMs and contribute to the growth of the product management capability within EDA&E

Preferred Qualifications

• Demonstrated end-to-end product ownership across product lifecycle, including product innovation and delivery through ideation and experimentation, GTM, and product evolution in a fast-paced and dynamic environment
• Ability to lead strategic discussions on data architecture and engineering (e.g., data modeling, metadata management, data quality, data integration, storage, compute, security) and data platforms (e.g., AWS, Databricks, Confluent, Flink)