Data Foundation Manager

Role Summary

Data Foundation Manager within the OUS Commercial division, focusing on Ontology, Analytics solutions, and Master Data Management. You will define and refine the core principles of AbbVie’s Data Strategy, govern data processes and systems, and ensure alignment with business needs across affiliates and international teams. The role requires strong data expertise and the ability to communicate effectively across organizational levels.

Responsibilities

• Provide expert business input, requirements and advice to the Business Technology Solutions department on data modelling and representation to reflect business expectations and visualization
• Lead governance of MDM platforms, particularly Product MDM, defining universal structures and harmonized master values across the organization
• Lead data-related enhancement programs and coordinate with multifunctional teams and contractors globally
• Communicate persuasively across all organizational levels to ensure alignment with data strategy and program goals
• Collaborate with affiliates, areas and global teams to identify business data needs and translate them into formal requirements and user stories
• Establish, reinforce and optimize the Data Foundations and its principal features across all stakeholders

Qualifications

• Required: A minimum of 10 years of experience in data operations, quality and governance, preferably in pharma
• Required: Expertise in devising strategies, systems, processes, controls, and capabilities to manage data quality
• Required: Experience delivering data-based initiatives and business transformations; proven ability to translate business needs into formal requirements and stories
• Required: Bachelor's degree in Computer Science or Engineering; Master’s degree in Big Data, Data Science, or IT preferred
• Required: Experience with Master Data Management systems, development, processes, and operations
• Required: Experience with CRM and sales data
• Required: Strong numeracy and statistical skills; analytical mindset with attention to detail
• Required: Familiarity with Ontology modelling, Metadata management, Data Architecture and Infrastructure
• Required: Proficiency in data visualization tools (Foundry, Power BI, QlikSense)
• Required: Ability to read Python, R, SQL/T-SQL and PySpark code; Foundry platform knowledge preferred
• Required: Excellent English communication skills; strong problem-solving capabilities
• Successful Candidate: Strong data quality culture; experience collaborating with geographically dispersed teams; track record of implementing industry best practices; leadership of high-performance teams; ability to engage multiple stakeholders; ability to simplify complex concepts for Senior Leadership

Education

• Bachelor’s degree in Computer Science or Engineering; Master’s preferred

Skills

• Data governance and master data management
• Ontology modelling and metadata management
• Data architecture and infrastructure
• Data visualization (Foundry, Power BI, QlikSense)
• SQL, Python, R, PySpark
• Stakeholder management and cross-functional collaboration