Senior product manager - data & analytics platform

Sobre a vaga

We're looking for a Senior Product Manager to lead the evolution of our shared data foundation for customer-facing analytics and AI experiences. You will focus on our Data Hub, the platform that brings together data from products and systems across Intermedia and makes it consistently available.

O que vais fazer

• Own the product strategy and roadmap for the Data Hub and shared analytics data foundation, aligned with the broader Product Analytics strategy
• Partner with PMs 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 key concepts such as 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 rather than remaining in product-specific silos
• Define requirements for how trusted data is exposed to downstream consumers through APIs, analytics tools, embedded experiences, AI applications, and other access patterns
• Make it progressively easier for 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/legacy data flows with new product requirements, identifying where existing data can be leveraged and where investment in the target architecture is required
• Identify common needs across product teams and prioritize shared platform capabilities that reduce duplicated effort and accelerate analytics delivery across the company
• Define and track success measures for Data Hub adoption, data availability, quality, timeliness, platform utilization, and reduction of time and effort required to enable new analytics use cases
• Ensure the data foundation supports emerging AI use cases, including AI Agents, Interaction Insights, prompt-based analytics, and other AI-driven experiences
• Work closely with the Principal Product Manager for Product Analytics and the cross-product Analytics SME community to ensure Data Hub priorities are driven by customer, partner, and product needs

O que é pedido

• 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 modern data concepts, including 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—understanding technical trade-offs and challenging design decisions—while maintaining a strong focus on product and business outcomes
• Experience building shared platforms used by multiple product or engineering teams, with an understanding of platform-as-a-product principles
• Experience translating needs across multiple product domains into reusable platform capabilities rather than one-off solutions
• Proven ability to influence and align multiple teams without direct authority and to drive adoption of common standards and practices
• Strong prioritization skills and the ability to balance foundational platform investments, migration/technical debt, and immediate customer-facing needs
• Excellent written and verbal communication skills, with the ability to translate complex data architecture and platform concepts into clear product and business narratives

Valorizado

• Experience with Snowflake or similar modern cloud data platforms
• Experience with Kafka, EventHub, or other event-driven architectures
• Experience with Contact Center (CCaaS), Unified Communications (UCaaS), or communications platforms, particularly interaction, agent, call, messaging, or utilization data
• Experience supporting both real-time and historical analytics from a shared data foundation
• Experience with AI/ML products and the data requirements associated with AI Agents, interaction analytics, or generative AI applications
• Experience modernizing legacy analytics/data architectures while continuing to support existing customer-facing capabilities

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.

Investimento de tempo

Quanto paga este cargo

✸ Valores e cultura (8)

• Ambiente internacional
• Equipa com senioridade elevada
• Full remote
• Igualdade de género
• Igualdade racial
• Incentivo à criatividade & inovação
• Membros impressionantes na equipa
• Tecnologias de ponta