Data Platforms Product Lead
2 semanas atrás
**Job Title:** Data Platforms Product Lead
We are seeking a seasoned Data Platforms Product Lead to join our team at Tripadvisor LLC. As a key member of our Data Platform Team, you will be responsible for driving the vision, strategy, and roadmap for our data platform tools, data governance, and data infrastructure.
- Drive product vision, strategy, roadmap planning, and execution 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.
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