Associate Director, Commercial Data Strategy
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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.
The Associate Director, Commercial Data Strategy plays a critical role in shaping and advancing AbbVie's commercial data strategy, data products, and analytics enablement capabilities. Operating at the intersection of business strategy, analytics, and technology, this leader is responsible for driving the development of scalable, governed, and reusable data assets that accelerate decision-making, support advanced analytics, and enable AI-driven business capabilities.
This individual will partner closely with APEX Enterprise, BTS (IT), Data Engineering, Analytics, and business stakeholders to define data priorities, align enterprise investments, and ensure commercial data assets are easy to discover, understand, access, and activate. Operating with a strong product management mindset, the Associate Director balances strategic vision with execution to establish reusable semantic models, governed metrics, business metadata standards, and enterprise-ready data products that increase speed-to-insight across the U.S. Commercial organization.
Responsibilities:
Commercial Data Strategy: Define and advance the roadmap for commercial data capabilities that support reporting, analytics, operational decision-making, and AI initiatives.
Domain Data Onboarding & Integration: Lead the end-to-end onboarding of new data sources, vendor assets, and commercial platforms within assigned data domains. Develop scalable playbooks and frameworks that drastically reduce time-to-value for new acquisitions.
Data Product Strategy: Act as the business product owner for domain data. Partner with BTS and Data Engineering to define data requirements, transformation logic, and roadmaps, turning raw data into marketplace-ready, fit-for-purpose data products.
Cross-Functional Orchestration: Manage complex integration programs across highly matrixed teams (Business, APEX Enterprise, BTS, Legal, and Compliance). Facilitate prioritization, align competing business needs, and oversee source-to-target mapping and UAT readiness.
Embedded Governance & Quality: Partner with Data Governance teams to ensure all onboarding processes adhere to enterprise standards. Drive the implementation of metadata management, business rules, and data quality controls directly into the onboarding lifecycle.
Vendor & Ecosystem Management: Evaluate external vendor capabilities and manage ongoing relationships with data providers and implementation partners, ensuring operational readiness and optimized cost structures.
Enablement, Support, & Adoption: Define the operational support models for onboarded data products. Drive enablement strategies that improve the discoverability, usability, and cross-functional adoption of domain data assets for reporting, analytics, and AI use cases.
Bachelor’s degree in Business, Analytics, Information Systems, Computer Science, Engineering, or a related discipline.
10+ years of experience in data strategy, data product management, analytics, business intelligence, or technology transformation.
Demonstrated experience defining and executing enterprise data strategies, data products, or commercial analytics capabilities.
Strong understanding of data governance, metadata management, semantic models, business metrics, and data quality principles.
Proven ability to lead complex cross-functional initiatives and influence senior stakeholders across business and technology organizations.
Experience with modern cloud data platforms (e.g., Snowflake), self-service analytics, governed data products, and AI-ready data ecosystems.
Experience within the Pharmaceutical, Biotechnology, Healthcare, or other highly regulated industries preferred.
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, 5% of the Time
Pay Range: $
141500 - 268500 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.