Enterprise Data & Analytics Product Owner

Amplitude is a leading digital analytics platform that helps companies unlock the power of their products. More than 3,200 customers, including Atlassian, Jersey Mike’s, NBCUniversal, Shopify, and Under Armour, rely on Amplitude to gain self-service visibility into the entire customer journey. Amplitude guides companies every step of the way as they capture data they can trust, uncover clear insights about customer behavior, and take faster action. When teams understand how people are using their products, they can deliver better product experiences that drive growth. 

As an organization, we approach challenges with humility, take ownership of our contributions, and embrace a growth mindset that pushes us to constantly improve ourselves, each other, and the value we bring to customers and partners.

Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive.

About The Role & Team

At Amplitude, we empower teams with data to make informed, strategic decisions. Our Business Transformation team drives the evolution of our enterprise data infrastructure, to support key business functions. As an Enterprise Data & Analytics Product Owner on the Business Transformation Team, you will collaborate with cross-functional stakeholders and the Data Engineering team to build and optimize data models that enable teams across Sales, Customer Success, Product, Finance, and HR to achieve operational excellence.

Key Responsibilities

• Roadmap & Alignment: Develop and maintain the roadmap for the enterprise data warehouse, ensuring alignment with key business objectives and partner needs. Conduct regular reviews with stakeholders to ensure priorities are aligned and evolving needs are addressed.
• Cross-Functional Collaboration: Work with Sales, Marketing, Customer Success, Product, and G&A teams to gather, document, and validate business requirements. Ensure these are translated into detailed, actionable technical specifications for the Data Engineering team.
• Data Model Development: Lead the creation and optimization of data models that serve critical business processes across GTM, Product, and G&A teams. Ensure data models are scalable, accurate, and aligned with business needs.
• Project & Stakeholder Management: Create and maintain comprehensive project plans, including schedules, timelines, milestones, and dependencies. Regularly communicate project progress and status to key stakeholders, identifying risks and ensuring alignment on resolution strategies.
• Business Process Optimization: Lead efforts to document and map business processes, driving efficiency through data-driven solutions. Prioritize requirements and enhancements through structured stakeholder collaboration.
• Requirements & Functional Design: Elicit and document business requirements, write detailed user stories with acceptance criteria, and lead functional design processes. Collaborate with Data Engineering to ensure successful implementation.
• Testing & Deployment: Oversee user acceptance testing (UAT), ensuring that test cases are aligned with business requirements. Facilitate production deployment, smoke testing, and post-launch hypercare, ensuring seamless project handovers and issue resolution.
• Continuous Improvement: Optimize and iterate on the prioritization framework to ensure that the most impactful data initiatives are continuously prioritized. Drive a culture of ongoing improvement and efficiency across data processes.

Requirements

• 5+ years of experience as a Product Owner, Data Analyst, or in a similar role focused on data infrastructure and analytics.
• Strong understanding of data modeling, ETL processes, and enterprise data warehousing, ideally with experience in Snowflake or similar cloud data platforms.
• Proven ability to translate complex business requirements into technical specifications for data engineering teams.
• Experience working with cross-functional teams, including Sales, Customer Success, Product Management, Finance, and HR, to deliver data-driven solutions.
• Solid understanding of SQL, data pipelines, and reporting tools such as Tableau.
• Strong project management skills with a track record of leading complex data initiatives from inception through to delivery.
• Excellen