Come join the A2D (Data Capabilities, Analytics, and Data) Product Management Team as a Staff Product Manager for Data Capabilities Platform at Intuit. The Data Capabilities Platform team in A2D is responsible for providing development teams (including data scientists, ML engineers, data analysts, software engineers, and product managers) across Intuit the means to build, train, deploy, experiment and innovate with Data Capabilities and Generative AItechnologies, delivering high impact Data Capabilities native product experiences, clean data from the onset and features that delight our customers and transform the industry.We are looking for a highly technical product manager for a number of Data Capabilities Platform capabilities on Data Mesh Architecture, Data Governance and someone knowledgeable about data infrastructure for AWS and GCP including hosting/serving/consumption. You will play a crucial role in accelerating access to the latest Data Capabilities and Data acceleration capabilities including Agentic AI for our development teams, optimizing data consumption and efficiency, as well as ensuring the highest level of operational excellence. You will work with organizations across Intuit to understand their use cases, workload requirements and provide them with the optimal Data Capabilities serving solutions with speed and at scale.
Responsibilities
- Define the vision, strategy, roadmap, objective, key results and success metrics for your Data Capabilities Platform products.
- Collect feedback and understand user needs from Data Capabilities/ML practitioners and BU stakeholders, derive requirements, analyze trade-offs, and prioritize areas of investments.
- Ensure product success from ideation, execution, to launch, ongoing support and improvements of the roadmap.
- Create user education and onboarding programs to grow adoptions and further democratize Data Capabilities across the company.
- Follow and assess industry trends and innovations, bringing advanced technologies to the Data Capabilities Platform where appropriate.
