Director II, Enterprise Data and Analytics Products
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Mettawa, IL
- Commercial
- Hybrid
- Full-time
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Role Summary: The Director II, Enterprise Data and Analytics Products plays a critical role in shaping how U.S. Commercial Therapeutics converts investments in data, analytics, and AI into scalable solutions that deliver measurable value. Serving as the strategic "front door" to the APEX Business Units for all Data and Analytics products, this leader will lead the newly formed enterprise data and analytics product organization.
This individual owns enterprise demand, portfolio-level prioritization, and the 3-year capability roadmap. By leading a team of dedicated Product Owners managing flagship assets (e.g., Customer Engagement, Marketing Mix, Insights Marketplace, and business-facing data products), this leader ensures that capability development is driven by business value rather than fragmented functional requests. This role partners deeply with the Data Science and Data Management teams via a committed, cross-functional pod model—owning what gets built, for whom, and in what order, while technical partners own how it is built. Ultimately, this leader is measured not by delivery volume, but by commercial adoption, seamless integration into BU workflows, and business impact.
Responsibilities:
- Enterprise Portfolio & Demand Management: Lead enterprise portfolio prioritization across data and analytics products, establishing a rigorous intake and decision framework that aligns demand, capacity, technical feasibility, and commercial value.
- Product Organization Leadership: Direct a team of dedicated Product Owners who hold end-to-end accountability for data and analytics products. Guide AI-enabled capabilities through the full product lifecycle, utilizing rapid experimentation and evidence-based iteration from concept through launch, enhancement, and eventual retirement.
- Data Product and Semantic Strategy: Lead the product strategy for business-facing data products, semantic capabilities, and insight-delivery platforms. Establish clear ownership of business definitions, product requirements, and fit-for-purpose data needs to enable trusted, reusable, and AI-ready commercial capabilities.
- AI Workflow & Autonomy Design: Design commercial workflows for AI-enabled capabilities. Establish clear autonomy boundaries, decision rights, oversight mechanisms, and escalation paths. Partner with Data Science and BTS leaders to define product-level safety and evaluation requirements, ensuring strict alignment with enterprise Responsible AI standards.
- Cross-Functional Pod Orchestration: Partner with Data Science, Data Management, and BTS to secure the technical capacity required to execute each roadmap. Product teams own what is built, for whom, and how it is delivered to users; technical partners own how the underlying data, models, platforms, and operations are engineered and sustained.
- Value Origination & Business Casing: Deeply understand U.S. Commercial strategic priorities and translate them into a forward-looking capability roadmap. Define the financial business cases for new capabilities, clearly articulating how proposed solutions will generate revenue and competitive advantage.
- Strategic BU & BTS Liaison: Establish a consistent engagement model for APEX Business Units across the data and analytics product portfolio, reducing fragmented request routing and creating clear visibility into product roadmaps, priorities, and delivery tradeoffs.
- Drive Change & Adoption: Lead adoption and value-realization strategies for the product portfolio, partnering with APEX Business Units and functional capability leaders to embed new platforms, AI-enabled solutions, and insights into commercial workflows and decision-making.
- External Strategy & Consulting Innovation: Identify and selectively engage external consultancies, technology partners, and specialized experts to accelerate strategic capability design, bring outside-in perspective, and test emerging approaches where internal capabilities or experience are limited.
- Bachelor's degree in a quantitative discipline, business, economics, or related field; MBA or advanced degree strongly preferred.
- 15+ years of related professional experience, with a 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 operating 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 (APEX Business Units) and technology teams (BTS) without direct authority.
- Deep fluency in modern data strategy, omnichannel execution, and advanced analytics, enabling effective translation between highly technical data science teams and commercial brand leadership.
- Strategic leader capable of navigating ambiguity, managing complex cross-functional initiatives, and driving scalable innovation to address evolving business needs.
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our long-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
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- Yes, 10% of the Time
Pay Range:
182000 - 346000 USD
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USD
Where We Work
Role is primarily site- or office-based but can occasionally be performed remotely. Employees who are site/office-based and can occasionally perform their role virtually work both in the office and remotely*, following the policies and regulations in place at their location. US Employees must be in the office on Tuesday, Wednesday, and Thursday with flexibility to work remotely on Mondays and Fridays. Three days in the office is the minimum; some individuals or teams may require more in-office days due to meetings, business/project needs or their role.