Data Product Manager
Pubblicato il 12-08-2026 - Jobtailor in Trieste
Define the vision, strategy, and prioritized roadmap for growth data products aligned with consumer experience and channel performance goals.
Conduct discovery: identify user needs through partner interviews, usage analysis, and benchmarking.
Prioritize features based on business impact, feasibility, and strategic fit, including AI-powered capabilities.
Scout and evaluate AI solutions embedded into data products to improve user experience and insight delivery.
Lead the end-to-end product lifecycle: ideation, requirements, launch, and iteration.
Write user stories, specifications, and acceptance criteria, including AI-enhanced features; coordinate delivery with Data Intelligence, Platform, D&A;, and DBS teams.
Lead all aspects of UI/UX build for internal tools (e.g., Power BI, conversational BI), ensuring accessibility and self-service.
Act as primary product owner: present roadmaps, demos, and updates; inspire change management (training, documentation, adoption).
Collaborate with growth, activation, and agencies to embed products into workflows, and partner with DBS & D&A; on martech and platform capabilities for scalability.
Own product governance, quality, and compliance; lead and mentor team; define KPIs, handle backlog, and drive continuous improvement.
Define and uphold SLAs, monitoring, and escalation processes to minimize delays and friction in data availability.
Build strong,
trusted partnerships across D&A; and DBS to navigate matrixed dependencies and balance growth urgency with enterprise standardization, cost, and compliance constraints.
Minimum 6+ years in product management, including 3+ years in data/analytics products.
Proven ability to translate product innovation into growth impact in consumer/growth contexts.
Experience in matrixed organizations with centralized platforms and tooling teams.
Deep experience in growth environments (e-commerce, subscriptions, digital products) and exposure to martech, enterprise platforms, and AI/ML features.
Proficiency in frameworks related to product development (discovery, roadmaps, prioritization, agile) and strong user emotional intelligence.
Proficiency in product tools (Jira, Confluence, Figma, analytics tools like Amplitude/Mixpanel).
Deep understanding of data products (dashboards, APIs, self-service, AI features) and visualization tools (Power BI).
Strong grasp of data flows, modelling, APIs, governance, plus basic SQL proficiency.
Excellent communication skills, able to translate business needs into precise technical requirements and provide clear updates to senior leadership.
Expertise in growth use cases (segmentation, personalization, funnels), awareness of AI/ML trends and data privacy with a relevant graduate degree.
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