Manager, Internal Product Analytics
$160k - $200k • Remote • New York, New York, USA
Posted 18d ago
About the job
The Internal Product Analytics (IPA) team serves as the analytics backbone for Datadog's Product organization, providing PMs and leadership with the data, tooling, platform, and analysis necessary for informed decision-making. The team is responsible for recurring analytical tasks and developing AI-first workflows to enhance the speed and consistency of analysis across the organization. As the Manager of IPA, you will lead a team of data analysts, collaborate closely with Product Managers, and partner with platform engineering teams. Your role will involve setting the strategic direction for team analysis, AI-first tooling development, and cross-functional partnerships, focusing on transforming complex data and open questions into clear, actionable insights.
Responsibilities
- Guide and grow the Internal Product Analytics team, including management, coaching, and development.
- Set priorities, maintain a high bar for quality, and ensure team output is trusted across the Product organization.
- Partner directly with the PM organization to frame key questions, shape analysis, and deliver actionable insights.
- Own recurring analytics for the PM organization, including business reviews, feature request analysis, and usage tracking.
- Build AI-first analytics by designing and shipping AI-powered workflows and agents to automate analysis.
- Partner with Finance, Data Platform, Engineering, and Revenue teams to align on definitions and source data.
- Turn product, CRM, and financial data into insights for leadership, presenting them clearly for confident decision-making.
- Set the standard for product analytics across the organization, defining and owning key metrics and frameworks.
Requirements
- 6+ years in product analytics, data analytics, or a related field.
- 2+ years of experience managing or leading a team.
- Strong track record of cross-functional partnerships and stakeholder alignment.
- Proven ability to partner with product managers, translating product questions into informing analysis.
- Fluent in SQL and comfortable with modern data warehousing and BI tooling.
- Hands-on experience building or deploying AI-first analytics, including AI-powered workflows, agents, or tooling.
- Professional use of AI tools such as Claude, including prompt design and integration into daily analysis.
- Experience communicating and presenting to senior leadership (VP+ level) in written and live formats.
- Comfortable working in ambiguous environments, defining approaches, and iterating.
- Ability to lead through influence, build trust, and drive outcomes across teams.