Director, Enterprise Insight Platform

Role Summary

We are seeking a strategic product leader to join our organization as the Director, Enterprise Insight Platforms, reporting directly to the Director II, Enterprise Data & Analytics Products. In this pivotal role, you will be the definitive Business Product Owner for Pulse Nexus, AbbVie's flagship enterprise decision intelligence platform. Your mandate is to build and scale the ultimate "marketplace for insights"—a single pane of glass for all commercial data and analytics products. You will transform how insights are discovered, trusted, and consumed from senior leaders, brand teams, analysts, and researchers. By leading a dedicated, cross-functional product pod consisting of BI product owners, semantic leads, AI prototypers, and UX researchers, you will seamlessly integrate executive dashboards, AI solutions, and analytics tools into one intuitive marketplace ecosystem. You will not just build a portal; you will define the enterprise semantic layer and ensure that every insight surfaced through Pulse Nexus is governed, certified, and instantly actionable, empowering U.S. Commercial leaders to make faster, higher-confidence decisions.

Responsibilities

• Platform Vision & Product Leadership: Own the end-to-end strategy, roadmap, and backlog for Pulse Nexus. Serve as the authoritative product leader, evolving the platform into a comprehensive decision intelligence ecosystem that acts as the single pane of glass for all commercial data and analytics products.
• Insight Marketplace Orchestration: Design and scale an intuitive, role-based "marketplace for insights." Ensure that diverse personas (executives, brand leaders, analytics producers) can effortlessly discover, access, and consume the exact data, reports, and AI tools they need without navigating fragmented legacy systems.
• Semantic & Knowledge Layer Ownership: Own the business logic and semantic architecture of the platform. Enforce enterprise data governance at the point of consumption by establishing canonical KPIs, embedded business glossaries, and certified data lineage, ensuring absolute trust in the numbers.
• Executive Delivery & Automation: Direct the automation of manually generated reports and shift the organization to automated, always-current narratives consumed directly within the platform.
• AI-Native Integration: Lead the embedding of next-generation AI into the consumption layer. Partner with Data Science and AI prototyping teams to integrate conversational AI, agentic data retrieval, and intelligent search capabilities directly into the Pulse Nexus user interface.
• Cross-Functional Pod Execution: Direct an agile, cross-functional execution pod. Define the business requirements, UX/UI design, and semantic logic, while partnering seamlessly with Data Foundation (for underlying pipelines) and Advanced Analytics (for algorithmic inputs) under a committed delivery model.
• Adoption & Value Realization: Hold ultimate accountability for platform adoption. Spearhead the organizational change management required to migrate users away from disjointed dashboards and spreadsheets, tracking success through active utilization, time-to-insight, and executive feedback.

Qualifications

• Bachelor's degree in Business, Computer Science, Information Systems, Analytics, or a related discipline; MBA or advanced degree preferred.
• 12+ years of professional experience in product management, business intelligence, decision intelligence, or data strategy, preferably within the Pharmaceutical, Life Sciences, or Tech industries.
• Proven track record of building and scaling enterprise insight platforms, data marketplaces, or highly adopted BI/analytics portals for large, matrixed organizations.
• Deep understanding of the "Platform-as-a-Product" lifecycle, including UI/UX design, persona-based journey mapping, and agile backlog prioritization.
• Strong fluency in modern semantic architectures, data governance, and the integration of AI/LLMs into user-facing enterprise applications.
• Exceptional executive presence and stakeholder management skills; capable of defining acceptance criteria with C-suite/ELT leaders and enforcing standard metric definitions across fiercely independent business units.
• Demonstrated ability to lead cross-functional pods (BI analysts, semantic engineers, UX designers) and partner effectively with foundational data engineering and data science teams.