Description

Who We Are

For more than two decades, going our own way has led to countless breakthroughs, bettering the lives of those suffering from rare genetic disease.  In 1997 we were founded to make a big difference in small patient populations. Now we seek to make an even greater impact by applying the same science-driven, patient-forward approach that propelled our last 25 years of drug development to larger genetic disorders, as well as genetic subsets of more common conditions. Through our unparalleled expertise in genetics and molecular biology, we will continue to develop targeted therapies that address the root cause of the conditions we seek to treat. Applying our knowledge to make a transformative impact is not just a calling, but an obligation to those who will benefit most. The end goal has always been better lives and now we can reach more.

And the more people we reach, the more our impact can grow. We transform lives through genetic discovery.

Our Culture

Our desire to make a positive impact on our patients extends to our employees and BioMarin is committed to fostering an inclusive environment where every person feels seen, valued, and heard – so employees can thrive in all areas of their lives, in and outside of work. We seek to provide an open, flexible, and friendly work environment to empower people and to provide them with the ability to develop their long-term careers. Ultimately, we want to be an organization where people enjoy coming to work and take pride in our efforts to help patients.

SUMMARY

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. 

• Overseeing data management, data analytics, data governance, data quality
• Spearheading Business data and information strategy,
• Creating and maintaining policies and standards,
• Implementing best practices for data provisioning and consumption, data integration, enterprise data modelling and design.

• Implement data analytics effectively into business processes as part of the ERP Program.
• Establish mechanisms that ensure the trustworthiness of data (Including Master Data), reporting and analytics.
• Improve user access to data while ensuring data protection and privacy.
• Liberate siloed data that hinders cross functional business and process initiatives, minimizing redundant data setup and operations.
• Improve the Organization, Storage and Analysis of strategic, operational and production data.
• Management and implementation of strategy for ERP data management & governance aligned with best in class data management processes
• Working with the ERP and Business team to define Information and master data Solution Architecture
• Recommend improvements and platform development to meet strategic objectives of the business (e.g. workflow mgmt. applications, data cleansing, auditing, etc.)
• Analyze Gaps in current business systems, master data applications to target state
• Create functional specifications for system and configuration changes due to application modifications
• Understand of existing business applications and legacy systems landscape to support information and solution architecture

• Oversee the management and flow of business data throughout its lifecycle
• Develop and Manage data governance strategies, practices and requirements
• 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.
• Establishing corporate practices that comply with data retention, data protection and privacy regulations
• Support ERP team in establishing a robust data governance framework engaging data owners, data steward, Architects and data custodians.
• 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 data (including master data) business processes, ensuring that we collect and maintain accurate information and not proliferate redundant data.
• Advise on the development of BAU master data processes and organization (i.e. Operationalize)
• Prioritizing data quality initiatives that ensure accurate business outcomes
• 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.
• Promote responsible data democratization, data literacy and a DataOps culture enterprise wide
• 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

• 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

• 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 business context of data, 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 

• 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

*This role is remote but will require 25% travel.  Travel is both to HQ in San Rafael, CA and to Shanbally, Ireland. 

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.