Amplitude - San Francisco, CA

posted 30 days ago

Full-time - Mid Level
San Francisco, CA
1,001-5,000 employees
Publishing Industries

About the position

As an Enterprise Data & Analytics Product Owner on the Business Transformation Team at Amplitude, you will play a crucial role in driving the evolution of our enterprise data infrastructure. This position involves collaborating with cross-functional stakeholders and the Data Engineering team to build and optimize data models that support key business functions across Sales, Customer Success, Product, Finance, and HR. Your work will empower teams to make informed, strategic decisions based on reliable data, ultimately enhancing operational excellence and driving growth.

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

  • Excellent health insurance
  • Flexible time off
  • Monthly wellness stipend
  • 12-week parental leave
  • Generous Learning & Development stipend
  • Delicious in-office lunch and snacks
  • Commuting benefits
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