Senior Product Manager – Data & Analytics Platform

🔥 0 minutes ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 11%

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Intermedia Cloud Communications

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

⚖️ Legal

💰 Venture Round on 2017-02

Consulting • Healthcare • Legal

Intermedia Cloud Communications is a leading provider of cloud-based communication solutions, specializing in unified communications, video conferencing, and various productivity tools. Their platform, Intermedia Unite, integrates voice, video, chat, and file management into a seamless user experience, enabling businesses to communicate and collaborate effectively from anywhere. With a focus on security and compliance, Intermedia serves a range of industries including healthcare, legal services, and financial services, helping organizations enhance productivity and customer care with advanced technology and support.

📋 Description

• Own the product strategy and roadmap for the Data Hub and shared analytics data foundation • Partner with Product Managers and Engineering teams across UC/PBX, Contact Center, AI, messaging, and other domains to define and prioritize the roadmap for bringing product data into the Data Hub • Establish and drive adoption of common patterns and best practices for product instrumentation, event generation, data contracts, ingestion, and access • Partner with Data and Engineering architects to define and evolve common data models for interactions, users, agents, accounts, services, features, and utilization • Ensure data from different products can be consistently connected and analyzed across domains, channels, and customer journeys • Define requirements for exposing trusted data to downstream consumers through APIs, analytics tools, embedded experiences, AI applications, and other access patterns • Enable product and engineering teams to onboard data and build on the shared foundation without requiring the central analytics team to implement every use case • Balance migration of existing or legacy data flows with new product requirements • Identify common needs and prioritize shared platform capabilities that reduce duplicated effort and accelerate analytics delivery • Define and track success measures 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 • Work with the Principal Product Manager for Product Analytics and the cross-product Analytics SME community to align priorities with customer, partner, and product needs

🎯 Requirements

• 5+ years of Product Management experience with meaningful experience 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, understand technical trade-offs, and challenge design decisions while focusing on product and business outcomes • Experience building shared platforms used by multiple product or engineering teams • Understanding of platform-as-a-product principles • Experience translating needs across multiple product domains into reusable platform capabilities • Proven ability to influence and align multiple teams without direct authority and drive adoption of common standards and practices • Strong prioritization skills balancing 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 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 modernizing legacy analytics/data architectures • No educational credential is specified