Director II, Enterprise Data and Analytics Products

AbbVie•Mettawa, IL

3h•$182,000 - $346,000

About The Position

The Director II, Enterprise Data and Analytics Products leads AbbVie’s newly formed enterprise data and analytics product organization, serving as the strategic front door to the APEX Business Units for data and analytics products. The role shapes how U.S. Commercial Therapeutics turns investments in data, analytics, and AI into scalable solutions that deliver measurable commercial value. The position owns enterprise demand, portfolio-level prioritization, and the three-year capability roadmap. It leads dedicated Product Owners responsible for flagship products such as Customer Engagement, Marketing Mix, Insights Marketplace, and business-facing data products. The leader ensures capability development is driven by business value rather than fragmented functional requests, and partners with Data Science and Data Management teams through a cross-functional pod model. Product teams determine what is built, for whom, and in what order, while technical partners determine how it is engineered and sustained. Success is measured by commercial adoption, integration into Business Unit workflows, and business impact—not delivery volume. The role also leads product strategy for data and semantic capabilities, designs workflows and governance for AI-enabled capabilities, develops financial business cases, and drives adoption and value realization across the product portfolio.

Requirements

Bachelor's degree in a quantitative discipline, business, economics, or a related field.
15+ years of related professional experience.
Strong background in commercial strategy, enterprise product management, data strategy, or analytics translation within the Pharmaceutical/Life Sciences industry.
Proven track record of connecting data, analytics, and AI capabilities to measurable commercial revenue and business value generation.
Experience leading data, analytics, digital, or AI product portfolios, including demand management, product roadmapping, adoption, and value realization.
Experience leading enterprise product management organizations, portfolio prioritization, or working within an agile, cross-functional delivery model.
Exceptional executive presence and collaboration skills, with the ability to influence and align senior stakeholders across matrixed business units and technology teams without direct authority.
Deep fluency in modern data strategy, omnichannel execution, and advanced analytics, with the ability to translate between technical data science teams and commercial brand leadership.
Strategic leadership capability to navigate ambiguity, manage complex cross-functional initiatives, and drive scalable innovation.

Nice To Haves

MBA or advanced degree.

Responsibilities

Lead enterprise portfolio prioritization across data and analytics products, establishing an intake and decision framework that aligns demand, capacity, technical feasibility, and commercial value.
Direct a team of dedicated Product Owners with end-to-end accountability for data and analytics products, guiding AI-enabled capabilities through concept, experimentation, launch, enhancement, and retirement.
Lead product strategy for business-facing data products, semantic capabilities, and insight-delivery platforms; establish ownership of business definitions, product requirements, and fit-for-purpose data needs.
Design commercial workflows for AI-enabled capabilities and establish autonomy boundaries, decision rights, oversight mechanisms, and escalation paths.
Partner with Data Science and BTS leaders to define product-level safety and evaluation requirements aligned with enterprise Responsible AI standards.
Coordinate with Data Science, Data Management, and BTS to secure the technical capacity needed to execute the roadmap and clarify product-team and technical-partner responsibilities.
Understand U.S. Commercial strategic priorities and translate them into a forward-looking capability roadmap.
Define financial business cases for new capabilities, articulating how proposed solutions can generate revenue and competitive advantage.
Establish a consistent engagement model for APEX Business Units across the data and analytics product portfolio, improving visibility into roadmaps, priorities, and delivery tradeoffs.
Lead adoption and value-realization strategies, partnering with APEX Business Units and functional capability leaders to embed platforms, AI-enabled solutions, and insights into commercial workflows and decision-making.
Identify and selectively engage external consultancies, technology partners, and specialized experts to accelerate capability design, provide outside-in perspectives, and test emerging approaches.