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.
Job DescriptionThe Associate Director, Data Semantic Governance will shape the strategic direction for how business data is governed and leveraged across the organization, ensuring a trusted, scalable, and AI-ready enterprise foundation. This individual serves as the bridge between business stakeholders, data operations teams (for Commercial and APS), data strategy and BI teams, as well as our BTS (IT) partners.
The candidate will own the governance standards and decision framework for AbbVie’s semantic and logical data landscape that ensures data is consistent, interoperable, compliant, and aligned to enterprise priorities. The ideal candidate will bring deep expertise in data governance, semantic architecture, metadata, master data management, and data quality, along with executive presence and the ability to influence and drive alignment across the organization
Responsibilities:
Strategic Alignment & Semantic Governance
Partner with Data Strategy, Analytics, and BTS (IT) teams to design a Semantic Governance process. Collaborate with BTS to define and approve semantic layer design, ontology mappings, standardize business glossary/terminology, canonical data models, metric definitions, dimensions and hierarchies, entity resolution and master data, data stewardship, metadata, data quality and lineage, search and discovery capabilities “Way of asking AI glossary”, access and governance rules, and consumption interfaces. Use usage patterns, feedback, and issue trends to improve semantic models.
Develop and implement standardized templates for AI agents to promote consistency, scalability, and ease of use. Establish and evolve enterprise data governance frameworks. Serve as the governance liaison between APEX business teams and BTS to align execution with commercial strategy, enterprise transformation goals, privacy & compliance, and AI enablement.
Execution, Data Quality & Optimization
Define and operationalize business-driven data quality rules, anomaly detection, and monitoring protocols to strengthen trust in enterprise data. Partner with data stewards and IT teams to ensure data assets are cataloged, sensitivity-classified, and tagged with end-to-end lineage. Review data health score for completeness, consistency, accuracy, timeliness, and usability. Support quality scorecards, controls, and periodic governance reviews. Drive compliance-by-design across the enterprise data ecosystem and support proof-of-concepts for emerging semantic, metadata, and data governance technologies.
Enterprise Influence & Strategic Enablement
Influence senior stakeholders by clearly articulating how data governance and business architecture drive enterprise value. Represent the data governance function in executive forums, governance councils, and strategic working groups, while fostering cross-functional alignment around shared standards, stewardship expectations, and future-state data capabilities. Provide strategic oversight into initiatives, partners, and vendors supporting enterprise data governance priorities, and support investment decisions by connecting governance capabilities to enterprise outcomes and long-term value creation.
Qualifications- A bachelor’s degree or master’s degree in information systems, Business Analytics, Computer Science, or a related field is required.
- 7+ years of progressive experience in data governance, business data architecture, or data management, acting as the bridge between business strategy and IT execution.
- Deep expertise with data governance and cataloging platforms (e.g., Alation, Collibra) and Master Data Management (MDM) platforms (e.g., Reltio, Informatica).
- Advanced knowledge of conceptual and logical data modeling, business glossaries, data lineage, and semantic layer design.
- Strong proficiency in SQL for data profiling, querying, and quality assessment.
- Solid understanding of cloud data ecosystems (Snowflake, AWS, Azure) to effectively partner with and guide BTS engineering teams.
- Proven ability to author enterprise data standards and drive adherence across diverse business units and analytics users.
- Prior experience in the Pharma/Life Sciences industry is highly preferred.
- Excellent communication and technical translation skills; able to distill complex architectural concepts into clear business value for non-technical stakeholders.
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.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
Skills Required
- Bachelor's or master's degree in information systems, business analytics, computer science, or a related field
- 7+ years of progressive experience in data governance, business data architecture, or data management
- Experience acting as a bridge between business strategy and IT execution
- Expertise with data governance and cataloging platforms such as Alation or Collibra
- Experience with Master Data Management platforms such as Reltio or Informatica
- Advanced knowledge of conceptual and logical data modeling, business glossaries, data lineage, and semantic layer design
- Strong SQL proficiency for data profiling, querying, and quality assessment
- Understanding of cloud data ecosystems including Snowflake, AWS, and Azure
- Ability to author enterprise data standards and drive adherence across business units and analytics users
- Prior experience in the pharmaceutical or life sciences industry
- Excellent communication and technical translation skills for nontechnical stakeholders
AbbVie Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AbbVie and has not been reviewed or approved by AbbVie.
-
Retirement Support — Retirement programs are portrayed as a standout, with a dollar‑for‑dollar 401(k) match up to 6% and an additional annual company contribution based on age and service. Feedback suggests this materially boosts perceived total compensation for many U.S. employees.
-
Parental & Family Support — Paid parental and caregiver leave are emphasized, including up to 12 weeks of fully paid parental leave for all parents and 4 weeks of paid caregiver leave in the U.S. Feedback suggests these policies are a meaningful differentiator for employees balancing family needs.
-
Leave & Time Off Breadth — Time off is described as extensive, with tiered vacation that scales with tenure, 17 company holidays, and two paid volunteer days in the U.S. Feedback suggests the breadth of leave contributes notably to overall benefits satisfaction.
AbbVie Insights
What We Do
AbbVie is a global biopharmaceutical company focused on creating medicines and solutions that put impact first — for patients, communities, and our world. We aim to address complex health issues and enhance people's lives through our core therapeutic areas: immunology, oncology, neuroscience, eye care, aesthetics and other areas of unmet need.








