Senior Technical Product Manager- Data Platforms

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)