Senior Data Product Manager

About the role

Connecteam, a platform for managing deskless teams, is looking for an experienced Data Product Manager with a strong Data Science and Analytics background. You will own and lead data-driven solutions that support the Marketing, Growth and Acquisition teams, operating at the intersection of business, analytics, data science and AI. You will turn marketing challenges into scalable data products, clear KPIs and measurement frameworks that improve acquisition efficiency, ROI and revenue growth.

Key responsibilities

• Own the vision, roadmap and delivery of Marketing Data Science and Analytics products, acting as the single owner of marketing-related data, analytics and data science products.
• Define data requirements, metrics and success criteria, and collaborate with Data Engineers and Analytics Engineers on scalable pipelines, data models and semantic layers.
• Define and own the business logic behind marketing KPIs, and lead data science, analytics and AI initiatives that optimize marketing performance.
• Own and evolve core marketing models such as attribution, MMM and LTV prediction, and set measurement frameworks for models, experiments and AI-driven decisions.
• Drive experimentation frameworks (A/B tests, geo-experiments, uplift modeling) and design AI-powered solutions to automate workflows such as budget allocation, campaign optimization and creative testing.
• Translate complex model outputs into clear, trusted insights for business users.

Required profile

• 5+ years in Data Product Management, Data Science Product, Analytics Product or similar roles in a tech or SaaS environment.
• Proven experience owning data and analytics products end-to-end, from problem definition and measurement strategy through to production.
• Hands-on experience working with data scientists, analytics engineers, data engineers and BI/analytics teams.
• Ability to turn business questions into analytical frameworks, metrics, dashboards and experimentation plans.
• Strong communication skills and stakeholder management across technical and non-technical teams.

Required skills

• Business analytics, KPI definition and metrics design, marketing data science, performance marketing and growth analytics.
• Familiarity with attribution, MMM, LTV modeling, experimentation and optimization frameworks.
• Advantage: experience building or productizing AI-powered or agentic systems, a background in performance marketing or growth teams, experience in fast-growing startups, and a strong grasp of experimentation frameworks.