Enterprise Data & Analytics Product Owner

$140,000 - $210,000/Yr

Amplitude

Full-time - Mid Level

Publishing Industries

About the position

The Enterprise Data & Analytics Product Owner at Amplitude plays a crucial role in driving the evolution of the enterprise data infrastructure to support key business functions. This position involves collaborating with cross-functional stakeholders and the Data Engineering team to build and optimize data models that enable various teams to achieve operational excellence. The role requires a strong understanding of data modeling, project management, and the ability to translate complex business requirements into actionable technical specifications.

Responsibilities

• 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.
• Work with Sales, Marketing, Customer Success, Product, and G&A teams to gather, document, and validate business requirements.
• Translate business requirements into detailed, actionable technical specifications for the Data Engineering team.
• Lead the creation and optimization of data models that serve critical business processes across GTM, Product, and G&A teams.
• 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.
• Lead efforts to document and map business processes, driving efficiency through data-driven solutions.
• Elicit and document business requirements, write detailed user stories with acceptance criteria, and lead functional design processes.
• 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.
• Optimize and iterate on the prioritization framework to ensure that the most impactful data initiatives are continuously prioritized.

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.
• Excellent communication and collaboration skills, with the ability to influence stakeholders and drive results.
• Experience working within Agile methodologies and tools like Jira.

Nice-to-haves

• Experience with enterprise data warehousing, tooling, data visualization including Snowflake, DBT, Tableau.
• Basic SQL knowledge.
• Experience building data models and predictive analytic products from the ground up.
• Experience in building or managing data models for GTM and G&A teams in a fast-paced SaaS or technology environment.
• Familiarity with Go-To-Market processes and tools such as Salesforce, Marketo, and Outreach.

Benefits

• 401(k)
• Dental insurance
• Health insurance
• Parental leave
• Unlimited paid time off
• Vision insurance