Staff, Data Product Manager

See yourself at Twilio

Join the team as Twilio’s next Staff, Data Product Manager, GTM Data Science & Analytics.

About the job

We are seeking a Staff, Data Product Manager to lead the strategy, development roadmap, and lifecycle of our data products and platforms. In this role, you will work at the intersection of data, technology, and business to unlock the value of data across the organization. You’ll define the roadmap for data solutions, collaborate with cross-functional teams, and ensure data products are scalable, reliable, and user-friendly. Together we’ll turn fragmented, raw data into structured, usable assets that drive decision-making, automation, and personalization across teams. You’ll ensure the right data is accessible, trustworthy, and actionable to power everything from executive insights to predictive models. You’ll bridge the gap between technical teams who build data infrastructure and business teams who rely on it, aligning data strategy with business goals. In short, you will turn data into our most valuable asset to drive business growth.

Responsibilities

In this role, you’ll:

• Define and own the vision, strategy, and roadmap for data products (e.g., dashboards, data platforms, model features and enhancements, etc) that support data-driven insights, decisioning, and actions.
• Act as the bridge between data engineers, data scientists, analysts, and business stakeholders to translate business needs into data solutions.
• Develop product requirements and user stories focused on data access, usability, performance, and quality.
• Prioritize data initiatives based on business impact, technical feasibility, and data availability.
• Ensure proper data governance, privacy, and compliance practices are followed.
• Ensure teams have self-service access to GTM data via platforms, tools, and interfaces.
• Monitor and improve data quality, reliability, and user adoption of data tools and features, providing regular reporting on effectiveness and areas for improvement..
• Define and track success metrics for data products, ensuring they meet business and technical goals.
• Foster a culture of data-driven decision making by making data products intuitive and accessible.
• Partner with finance, product, and sales teams to ensure that data products serve the needs of our internal customers.
• Stay informed about industry trends, tools, and best practices in data product management and data enablement.
• Develop training materials to empower teams across the organiza