Senior Principal Data Governance Lead

The Statistical Programming Data Strategy and Governance (DSG) group is accountable for data standards, data governance, and the enablement of transformative clinical trial data initiatives within the Data Intelligence and Programming Science (DIPS) group.

The Senior Principal Data Governance Lead is a Subject Matter Expert in all areas of clinical trial data governance. They are also literate in concepts of data engineering, data standards, data modelling and modern data platforms, to enable close collaboration with associated partner functions.

They are accountable for DIPS’ implementation of the Enterprise Data Governance framework within DIPS, acting as the Data Governance Lead and coordinating other roles in the data governance structure. Through this, they define clear ownership and stewardship of statistical programming data products, they define and enforce policies for data access, use and retention, and they establish data product fitness and quality metrics, to realize the group’s data governance and data strategy goals.

Where appropriate they implement tools and define processes, including data ingress/egress and data anonymization, to enable the framework and monitor compliance.

They enable DIPS team members and cross-functional data consumers to realize the value of statistical programming data products and enable the broader R&D data strategy for advanced analytics, AI and automation, in compliance with the data governance framework, departmental SOPs, data privacy policies, regulatory requirements and information governance. They partner with statistical programming data owners and cross-functional data consumers to define new data use cases and incorporate these into the overall IDASP and R&D data ecosystems.

• Attend department leadership and multi-disciplinary team meetings, representing the DSG function in a senior capacity.
• Lead the DSG strategy for data governance in their area(s) of expertise, demonstrating problem-solving and critical-thinking abilities.
• Implement the Enterprise Data Governance Framework within Statistical Programming.
• Monitor adherence to data governance policies and implementation best practices in the IDASP group through the data governance model.
• Train DIPS group members on domain and technical topics.
• Collaborate with data owners, consumers, and partner functions, on the implementation of data governance.
• Collaborate with partner functions on the implementation of modern data platforms for clinical trial data pipelines, warehousing and cataloguing.
• Provide input on data quality measures for key deliverables when requested by DIPS team members.
• Contribute to department SOPs and guidelines related to clinical programming.
• Oversee work of internal contract programmers and external vendors. Participate in vendor qualification and selection.
• Provide time and resource estimates for activity planning.

• Minimum of 7 years of experience across a combination of clinical trial data governance and clinical statistical programming.
• Minimum of 3 years experience in a governance leadership and implementation role.
• Expert knowledge of clinical trial data privacy and information governance guidelines and best practices.
• Good knowledge of the drug development process and the regulatory submission process including NDAs/BLAs.
• Literate in concepts of data engineering, data standards, data modelling, and modern data platforms such as Snowflake.
• Solid verbal and written communication skills.

• Bachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences or other relevant scientific fields.

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