כניסההרשמה
חזרה

Senior Data Product Manager

Connecteam
שכר לא צויןTel Aviv District, Israel, היברידיסניורמשרה מלאה
משרה חיצונית, ההגשה באתר החברהאושר שהמשרה פתוחה לפני 11 שעות

Own the vision and delivery of data and analytics products for Marketing, Growth, and Acquisition. Work with business and technical teams to build measurement frameworks and data-driven solutions that improve marketing performance and support revenue growth.

מה תעשו

  • Own the vision, roadmap, and delivery of Marketing Data Science and Analytics products.
  • Define marketing data requirements, KPIs, metrics, and success criteria.
  • Partner with Data Engineers and Analytics Engineers on data pipelines, data models, and semantic layers.
  • Lead analytics, data science, and AI initiatives to improve marketing performance.
  • Own and evolve attribution, MMM, and LTV models.
  • Design measurement frameworks and experiments, including A/B tests, geo-experiments, and uplift modeling.

דרישות

  • 5+ years of experience in Data Product Management, Data Science Product, Analytics Product, or similar roles in a tech or SaaS environment.
  • Experience owning data and analytics products end to end, from problem definition and measurement strategy through development and production.
  • Strong understanding of business analytics, KPI definition, metrics design, marketing data science, performance marketing, and growth analytics.
  • Hands-on experience working with data scientists, analytics engineers, data engineers, and BI or analytics teams.
  • Strong communication and stakeholder management skills across technical and non-technical teams.

יתרון

  • Experience building or productizing AI-powered or agentic systems.
  • Background in performance marketing, growth teams, or marketing platforms.
  • Experience in fast-growing or high-scale startups.
  • Strong understanding of experimentation frameworks.

תנאי סף

  • 5+ years of experience in Data Product Management, Data Science Product, Analytics Product, or a similar role

הטבות

  • Training and professional development
  • Weekly happy hours and holiday parties
  • Inclusive and supportive work environment
Data Product ManagementMarketing AnalyticsKPI DesignAttribution ModelingMarketing Mix Modeling (MMM)LTV ModelingExperimentationAI