Staff Product Manager, Data Platform

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Requirements:

• 7-10+ years of product management experience, with at least 3 years focused on data platforms, analytics, or related fields.
• Strong technical background and understanding of data architecture, data modeling, and ETL processes.
• Experience with cloud-based data solutions (e.g., AWS, Google Cloud, Azure, Mongo), big data technologies (e.g., Hadoop, Spark), and machine learning.
• Proven track record of leading cross-functional teams to deliver high-impact data projects.
• Excellent communication and leadership skills, with the ability to influence without authority.
• Deep understanding of privacy laws and regulations affecting data collection and usage.
• Strong technical acumen and ability to articulate complex technical concepts in simple terms.
• Possess a 'test and learn' mentality, comfortable in a fast-paced environment.
• Experience in agile methodologies and adaptable to changing priorities.
• Excellent problem-solving skills, with a creative and analytical mindset.
• Leadership skills to inspire and motivate a team towards a common goal.
• Adept at navigating and managing through ambiguity and complexity.

Responsibilities:

• Define and prioritize the roadmap for the data platform, balancing short-term needs and long-term vision.
• Work closely with engineering leads to architect and build a scalable, high-performance data infrastructure.
• Collaborate with stakeholders across the company to understand their data needs and translate them into clear, actionable requirements.
• Drive the development of data tools and services that empower internal teams to access and leverage data effectively.
• Ensure data quality and compliance with privacy regulations.
• Monitor industry trends and emerging technologies to continuously innovate and improve the data platform.
• Prioritize product backlog and manage the roadmap based on strategic priorities, user needs, and market trends.
• Develop and articulate compelling value propositions to stakeholders.
• Define, track, and analyze key platform metrics to inform decision-making and measure success.