Enterprise Data Leader, ERP

JOB DESCRIPTION  

Background 
BioMarin has experienced substantial growth organically since its inception, primarily over the last decade.  While this steady growth in both cost structure and staff was essential to BioMarin’s emergence as a leading, fully integrated global biopharma with approximately $2 billion in revenues from over 75 countries, a robust R&D pipeline, operating profits, and world-class technical capabilities through its 3,000 employees; BioMarin leadership desires to optimize the efficiency of its operations for the future through its next phase of growth. 

BioMarin launched its “Enterprise Resource Planning” (ERP) enterprise-wide operational initiative in Q1 2022. The implementation of a new Enterprise Resource Planning (ERP) system is critical for supporting that tomorrow for our patients and our people. An effective ERP will support bridging our planning, transactional processes, and information to meet the needs of a maturing and growing organization.?? ??? 
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Implementing a new ERP impacts the entire company – putting this system in place is equally complex and transformational. The Enterprise Data leader is responsible both the Business and Master Data for all aspects of ERP data governance developing the overall data architecture strategy, creating and maintaining standards and best practices for data provisioning and data integration, enterprise data modelling and design. 
This Data management role will be a key member of the ERP leadership team and will require a demonstrated capacity to lead, organize, deliver, monitor, evaluate, adjust in a collaborative way to bring BMRN’s ERP vision to life.  
  
Key Responsibilities 
The position acts as a subject matter expert and facilitator and can liaise with technical staff and business stakeholders at all levels to ensure data goals and objectives are met. This includes:
Platform

• Management and implementation of strategy for ERP data management & governance
• Working with the ERP and Business team to define Information and master data Solution Architecture
• Recommendations for improvements and platform development to meet strategic objectives of the business (e.g. workflow mgmt. applications, data cleansing, auditing, etc.)
• Gap analysis of current business systems, master data applications to target state
• Create functional specifications for system and configuration changes due to application modifications
• Understanding of existing business applications and legacy systems landscape to support information and solution architecture

Process

• Support ERP team in establishing a robust data governance framework
• Maintain the data governance framework and data policies documentation
• Develop and Own Data Risk & Impact Analysis Process, to help prioritization of the Data Governance Framework. 
• Facilitate the establishment of change management processes to govern data input and maintenance, data stewardship and access control
• Work with key stakeholders across the business to develop and manage key master data business processes, ensuring that we collect and maintain accurate information
• Advise on the development of BAU master data processes and organization (i.e. Operationalize)
• Develop and own process for evaluating and auditing data quality (establish data quality KPIs, etc.) and providing direction to the business for improvement
• Set up and review of data standards, classifications, mappings, cross-referencing and metadata.
• Develop the overall data migration plan in conjunction with the functional and technical leads.
• Lead a team of data analysts (both internal and 3rd party) responsible for the overall extraction, cleansing, transforming, and loading of data into SAP. 
• Designing appropriate data migration solutions including, where required, transformation routines.
• Overseeing the build, test, validation, execution, and data migration utilizing tools such as SAP LSMW or SAP Data Services solutions.
• Advise on the development of BAU master data processes and organization / Provide advisory services to the business to understand their data management issues and appropriate data management strategies and techniques.
• Maintaining a solid understanding of workflows, data dependencies and translating business, data and reporting requirements into logical data structures

People

• Proactively managing all stakeholders
• Participation in business led data governance structures
• Tireless promotion of data governance and management education among all stakeholders, colleagues and the wider business
• Build partnerships and collaborate with global, functional, and regional teams on analytical, operational and planning initiatives. Work cross functionally to ensure global perspective and requirements are represented in globally centralized initiatives

Knowledge, Experience and Technical Skills

• Degree in Computer Science, Software Engineering or similar Analytical discipline or equivalent experience
• Minimum 5 years' relevant experience
• Experience in SAP S4/HANA ERP data management and governance, preferably setting up, leading or transforming a Data Management/ Governance initiative in complex business environments

• Experience with cutover planning and preparation of data migration runbooks.
• Excellent understanding of data concepts and experience in data management capabilities including data definitions, data quality management and data integration
• Experience in Data/ Information Architecture/Modelling, ETL, Data Quality and MDM or data integration tools and strategies
• Understanding of legislation and how it impacts data management (GDPR, GxP, FDA, etc.)
• Experience working with, manipulating and transforming large data sets from disparate sources across complex business processes and functions
• Knowledge and experience of data analysis, profiling, matching and enhancement
• Great collaborator
• Effective communication, persuasion and influencing skills at all levels 

Desirable

• Include work experience in a similar ERP deployment project and preferrable SAP’s S4 HANA application suite in a Bio-Pharma Context
• Ability to determine long term directions, industry trends and how they interrelate to the organizational needs
• Experience of the Life Sciences, Pharma or Biotech sectors and/or products