Data Foundation Manager

Role Summary

Data Foundation Manager within the OUS Commercial division, focusing on Ontology, Analytics solutions and Master Data Management. Defines and refines the core principles of AbbVie's Data Strategy, with emphasis on data requirements, utilization, and alignment with enterprise data strategy.

Responsibilities

• Provide expert business input, requirements and advice to the Business Technology Solutions (BTS) department on data modelling and representation to reflect business expectations and visualization
• Produce progress reports and maintain stakeholder communication regarding the data governance framework
• Review business processes and workflows to enhance data management with a focused view on usability of the data and business priorities
• Participate in designing the Ontology layer of AbbVie International data offering providing the business perspectives underpinning the data solutions and the demands reported
• Ideate, design and coordinate governance model to orchestrate technology and business needs
• Define demand prioritization model and clearly communicate with primary stakeholders and requestors
• Inform releases‚Äô scope and roadmaps of products assigned (Ontology, Reporting Layer, MDM instances and NGA platform) acting as Business Owner
• Ensure full and smooth cooperation with BTS colleagues establishing transparent and trustful relationship partnering with them on product management
• Support the issue and problem solving processes on need, e.g. anytime a business and/or functional input is required
• Be the primary point of contact and trusted reference for affiliates, areas and international stakeholders with regards to AbbVie data environment in their scope of responsibility
• Capture requirements and business needs and help technology partners translating them into functional designs
• Assure data processes are documented, understood and communicated effectively to international and local stakeholders
• Define standards for entities and relationships within various business fields (e.g. customers, products, business structure)
• As a global data steward, define processes and governance for maintaining reference values of business entities
• Enhance role of MDM, increase the ecosystem heading expansion of MDM interconnected processes and systems, empower perception of centrality and relevance on MDM in all stakeholders
• Support implementation and success of main commercial reporting solutions and use cases with adequate data structure and reporting features
• Collaborate with primary stakeholders in affiliates, areas and global teams to identify business data needs and translate them into formal business requirements and user stories
• Establish, reinforce and optimize the Data Foundations and its principal features across all affiliates and stakeholders

Qualifications

• Required: A minimum of 10 years of experience in data operations, quality and governance preferably in Pharma industry
• Expert knowledge in devising strategies, systems, processes, controls, and capabilities necessary to manage data quality
• Extensive experience delivering data-based initiatives and the necessary business transformations to achieve and sustain them
• Proven competence interfacing with stakeholders across affiliates, areas, and global teams, translating business needs into formal requirements and stories
• A degree in Computer Science, Engineering, Data Science, or equivalent; a PhD or master‚Äôs degree in Big Data, Data Science, or Information Technology preferred
• Experience with Master Data Management systems, development, processes, and operations
• Former experience working with CRM and sales data
• Strong numeracy and statistical skills; analytical mindset with strong attention to detail
• Familiarity with Ontology modelling, Metadata management, Data Architecture and Infrastructure
• Proficiency in data visualization tools such as Foundry, Power BI and QlikSense
• Ability to read Python, R, SQL/T-SQL and PySpark code
• Foundry platform knowledge preferred
• Excellent communication skills in English; superior problem-solving capabilities

• Successful Candidate Requirements: A strong data quality culture background; experience collaborating with geographically dispersed, cross-functional teams; demonstrated track record of implementing industry best practices to drive continuous improvement; proven ability in leading and managing high-performance teams for continuous improvement; experience engaging with multiple stakeholders; ability to simplify complex concepts and effectively communicate with Senior Leadership about Data and Analytics

Skills

• Data governance
• Data modelling
• MDM (Master Data Management)
• Ontology modelling
• Metadata management
• Data visualization (Foundry, Power BI, QlikSense)
• Python, R, SQL/T-SQL, PySpark
• Foundry platform knowledge
• Stakeholder management and communication

Education

• Degree in Computer Science, Engineering, Data Science, or equivalent; advanced degree (PhD or MS) in Big Data, Data Science, or Information Technology preferred