
Chief Data Governance Architect
5 days ago
You will play a pivotal part in the implementation and adoption of a data governance framework, modernizing the organization's data ecosystem. This position leverages cutting-edge technologies, including Generative AI, Machine Learning, and integrated data, positioning the company as a leader in biopharma innovation.
- Responsible for the data governance and management framework implementation for the Development domain of the biopharma lifecycle.
- Contribute to the operationalization of the Enterprise data governance framework and align broader stakeholder communities with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication, and change management.
- Work closely with Enterprise MDM and Reference Data teams to enforce standards and data reusability.
- Contribute to cross-functional alignment in domains of expertise to ensure adherence to data governance principles.
- Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains.
- Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for assigned domains.
- Jointly define specifications shaping development and implementation of data foundations with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.).
- Build strong relationships with key business leaders and partners to ensure their needs are met.
Technical skills with knowledge of pharma processes, specializing in the Development domain of the biopharma lifecycle.
- General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc.
- Experience with data products development life cycle, including enablement of data dictionaries and business glossary to increase data products reusability and data literacy.
- Customer-focused with excellent written and verbal communication skills who can confidently work with internal stakeholders and external service partners on business process and technology topics.
- Experience working with or supporting systems used to data governance frameworks (e.g., Collibra, Alation).
- Excellent problem-solving skills and committed attention to detail in finding solutions.
Experience with Agile software development methodologies (Scrum) and proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS).
Qualifications- Bachelor's degree and 3 to 5 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR Diploma and 7 to 9 years of Life Science / Biotechnology / Pharmacology / Information Systems experience.
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