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Principal Product Manager, Data Platforms

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💎 Seniority level: Principal, 10+ years

📍 Location: United States

💸 Salary: 173300.0 - 276800.0 USD per year

⏳ Experience: 10+ years

🪄 Skills: AWSLeadershipSQLProduct ManagementCross-functional Team LeadershipProduct DevelopmentProduct AnalyticsRESTful APIsExcellent communication skillsData modelingData management

Requirements:
  • 10+ years of experience in product management, with a focus on data platforms and engineering excellence.
  • Proven track record of successfully delivering internal platforms that are so valuable that customers choose to use them.
  • Strong technical background with experience in data platforms, API, and eventing platforms.
  • Strong leadership and people management skills, with the ability to inspire and develop high-performing teams.
  • Skilled at reducing migration fatigue by building well-formed platforms and services that automate pain points.
  • Excellent communication skills, with the ability to lead discussions with executive team members, product managers, designers, and engineers.
Responsibilities:
  • Define and execute the product vision and roadmap for data platforms, aligning with business objectives and customer needs.
  • Spearhead the transformation to a data mesh approach, ensuring that our data platforms are scalable, reliable, and user-friendly.
  • Work closely with Engineering, Data Science, and AI teams to prioritize and deliver high-quality products.
  • Develop and maintain a deep understanding of platform customers and their needs, ensuring that our products are designed for optimal user experience.
  • Lead and mentor a team of talented product managers, setting clear objectives, providing guidance, and fostering a culture of innovation and excellence.
  • Stay up-to-date with industry trends and best practices to drive continuous improvement and innovation in our data platforms.
  • Manage the product lifecycle from concept to launch, including gathering requirements, user testing, and post-launch analysis to measure effectiveness and drive improvements.
  • Drive product adoption and success through effective go-to-market strategies and ongoing customer engagement.
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