Senior Product Manager – Data & Analytics Platform

This is a fully remote position, open to applicants in Portugal.

📋 Description

• Take ownership of the product strategy and roadmap for the Data Hub and the foundational shared analytics data.

• Collaborate with Product Managers and Engineering teams across UC/PBX, Contact Center, AI, messaging, and other areas to define and prioritize the roadmap for integrating product data into the Data Hub.

• Establish and promote the adoption of standardized patterns and best practices for product instrumentation, event generation, data contracts, ingestion, and access.

• Work alongside Data and Engineering architects to define and refine common data models for interactions, users, agents, accounts, services, features, and utilization.

• Ensure that data from various products can be consistently connected and analyzed across different domains, channels, and customer journeys.

• Specify requirements for providing trusted data to downstream consumers through APIs, analytics tools, embedded experiences, AI applications, and other access methods.

• Empower product and engineering teams to onboard data and build upon the shared foundation without needing the central analytics team to implement every use case.

• Balance the migration of existing or legacy data flows with new product requirements.

• Identify common needs and prioritize shared platform capabilities that minimize duplicated efforts and expedite analytics delivery.

• Define and monitor success metrics for Data Hub adoption, data availability, quality, timeliness, platform utilization, and reduced effort for new analytics use cases.

• Ensure the data foundation supports AI use cases, including AI Agents, Interaction Insights, prompt-based analytics, and other AI-driven experiences.

• Collaborate with the Principal Product Manager for Product Analytics and the cross-product Analytics SME community to align priorities with customer, partner, and product requirements.

⛳️ Requirements

• Over 5 years of Product Management experience, particularly in data platforms, analytics platforms, developer platforms, or technically complex B2B SaaS products.

• Strong understanding of event-driven architectures, data ingestion and pipelines, data contracts, data modeling, APIs, data quality, and semantic/business models.

• Ability to engage deeply with Data and Engineering teams, grasp technical trade-offs, and question design decisions while concentrating on product and business outcomes.

• Experience in building shared platforms utilized by multiple product or engineering teams.

• Familiarity with platform-as-a-product principles.

• Proven experience in translating needs across multiple product domains into reusable platform capabilities.

• Demonstrated ability to influence and align multiple teams without direct authority and drive the adoption of common standards and practices.

• Strong prioritization skills that balance foundational platform investments, migration/technical debt, and immediate customer-facing needs.

• Excellent written and verbal communication skills.

• Nice to have: Experience with Snowflake or similar modern cloud data platforms.

• Nice to have: Experience with Kafka, EventHub, or other event-driven architectures.

• Nice to have: Experience with Contact Center (CCaaS), Unified Communications (UCaaS), or communications platforms.

• Nice to have: Experience in supporting real-time and historical analytics from a shared data foundation.

• Nice to have: Experience with AI/ML products and data requirements for AI Agents, interaction analytics, or generative AI applications.

• Nice to have: Experience in modernizing legacy analytics/data architectures.

• No educational credential is specified.

🏝️ Benefits

• [Details about benefits can be added here]