Data Platform Senior Manager
3 semanas atrás
Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. With 300,000+ travel experiences to explore, making memories that will last a lifetime has never been easier.
Job SummaryWe are seeking a Senior Product Manager to serve as an advocate for our data; someone to help the Data Platform Team optimize the reach and impact of data, analytics, and reporting at Viator. The ideal candidate is experienced with supporting multiple products and various stakeholders, both technical and non-technical.
Responsibilities- 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.
- 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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