Data Platform Product Manager Senior
2 semanas atrás
About Viator, a Tripadvisor company, we're the leading marketplace for travel experiences. Our mission is to make memories that last a lifetime, and we're seeking a Senior Product Manager to help us achieve this goal. Transforming Viator's Data and Analytics
About the Role
We're looking for a Senior Product Manager to drive the vision, strategy, and roadmap for our data platform tools, data governance, and data infrastructure. As a key member of our Data Platform Team, you will partner closely with engineering, data science, analytics, product, and business teams to ensure we're building the right data systems, infrastructure, and tooling.
Responsibilities
- Drive product vision, strategy, and roadmap planning for data platform tools, data governance, and data infrastructure.
- Own planning and end-to-end execution of features and programs for the data platform.
- Build investment cases for your product in collaboration with product leadership.
- Define success metrics and KPIs, and monitor ongoing product performance, taking action where necessary to improve performance.
- Lead large, cross-functional efforts with data science, analytics, and other teams to further the impact of the data platform.
- Drive projects that enable all Viator employees to make data-driven decisions and advance our data-focused culture.
- Partner with Data Engineering & Analytics Engineering to provide product management support on company-level product and tooling priorities.
- Facilitate requests from a variety of stakeholders and objectively prioritize work across interests and business needs.
Requirements
- Bachelor's degree or higher.
- Background in product management, technical product management, technical program management, management consulting, product development, or relevant experience.
- 5+ years product management experience, with proven experience driving forward-thinking vision and product roadmap for data platform products operating at significant scale.
- Deep fluency in data, with experience ranging across data modeling, data warehousing, business intelligence (BI) and analytics engineering a plus.
- Exceptional communication skills, written and verbal, especially with engineering, other product managers, business stakeholders, and data scientists.
- Skilled at prioritizing conflicting demands, synthesizing requirements from a diverse group of end-users, and setting expectations to a broad group of internal clients.
- Familiarity with technologies such as SQL, Python, BigQuery, Airflow, spark, and dbt a plus.
- Comfort making decisions in an atmosphere of high ambiguity.
- A strong sense of ownership and bias for action.
Benefits
Competitive compensation packages, including base salary, annual bonus, and equity. Flexible schedule. Work-life balance is ingrained in our culture. Trust and accountability make it work. Donation matching. Tuition assistance. Lifestyle benefit. Travel perks. Employee assistance program. Health benefits.
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