Director, Enterprise Insight Platform

AbbVie•Mettawa, IL

5h•$160,500 - $305,000

About The Position

AbbVie is seeking a strategic product leader to serve as the Business Product Owner for Pulse Nexus, its flagship enterprise decision intelligence platform. Reporting directly to the Director II, Enterprise Data & Analytics Products, this role will shape and scale Pulse Nexus into a single marketplace for commercial data and analytics products, enabling senior leaders, brand teams, analysts, and researchers to discover, trust, and use insights.

Requirements

Bachelor’s degree in Business, Computer Science, Information Systems, Analytics, or a related discipline.
12 or more years of professional experience in product management, business intelligence, decision intelligence, or data strategy.
Experience building and scaling enterprise insight platforms, data marketplaces, or widely adopted BI/analytics portals in 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 integrating AI/LLMs into user-facing enterprise applications.
Strong executive presence and stakeholder-management skills, including defining acceptance criteria with C-suite/ELT leaders and establishing standard metric definitions across business units.
Demonstrated ability to lead cross-functional teams and partner with data engineering and data science teams.

Nice To Haves

MBA or advanced degree.
Experience in the Pharmaceutical, Life Sciences, or Tech industries.

Responsibilities

Own the end-to-end strategy, roadmap, and backlog for Pulse Nexus, developing it into an enterprise decision intelligence ecosystem.
Design and scale a role-based marketplace where users can discover, access, and consume data, reports, and AI tools.
Own the platform’s business logic and semantic architecture; establish canonical KPIs, business glossaries, and certified data lineage to support governance and trust.
Direct automation of manually generated reports and shift users toward automated, current narratives within the platform.
Lead integration of conversational AI, agentic data retrieval, and intelligent search into the platform in partnership with Data Science and AI prototyping teams.
Direct an agile, cross-functional product pod; define business requirements, UX/UI design, and semantic logic, collaborating with Data Foundation and Advanced Analytics teams.
Drive organizational change and migration from fragmented dashboards and spreadsheets, and measure adoption through utilization, time-to-insight, and executive feedback.