Senior Principal Data Governance Lead

Jazz Pharmaceuticals•Philadelphia, PA
•Remote

About The Position

The Senior Principal Data Governance Lead is a subject matter expert in clinical trial data governance within the Statistical Programming Data Strategy and Governance (DSG) group, part of Data Intelligence and Programming Science (DIPS). The role leads implementation of the Enterprise Data Governance framework within Statistical Programming and coordinates other roles in the data governance structure. It defines ownership and stewardship of statistical programming data products, policies for data access, use and retention, and data-product fitness and quality metrics. The lead may implement tools and processes, including data ingress and egress and data anonymization, to support the framework and monitor compliance. The role enables DIPS team members and cross-functional data consumers to use statistical programming data products and support the broader R&D data strategy for advanced analytics, AI and automation. This work must comply with the data governance framework, departmental SOPs, data privacy policies, regulatory requirements and information governance. The lead partners with data owners and consumers to define data use cases and incorporate them into the IDASP and R&D data ecosystems, and collaborates on modern data platforms for clinical trial data pipelines, warehousing and cataloguing. The position represents DSG in leadership and multidisciplinary meetings, trains DIPS team members, contributes to clinical programming SOPs and guidelines, and oversees internal contract programmers and external vendors. The role also participates in vendor qualification and selection and provides time and resource estimates for planning.

Requirements

  • At least 7 years of experience across a combination of clinical trial data governance and clinical statistical programming.
  • At least 3 years of 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 regulatory submission process, including NDAs and BLAs.
  • Literacy 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 another relevant scientific field.

Responsibilities

  • Represent the DSG function in a senior capacity at department leadership and multidisciplinary team meetings.
  • Lead the DSG data governance strategy in areas of expertise, using problem-solving and critical-thinking skills.
  • 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 data governance implementation.
  • Collaborate with partner functions on 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 internal contract programmers and external vendors.
  • Participate in vendor qualification and selection.
  • Provide time and resource estimates for activity planning.
  • Define ownership and stewardship of statistical programming data products, data access/use/retention policies, and data-product fitness and quality metrics.
  • Where appropriate, implement tools and processes, including data ingress/egress and data anonymization, to support the governance framework and monitor compliance.
  • Partner with data owners and cross-functional consumers to define data use cases and incorporate them into the IDASP and R&D data ecosystems.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) retirement savings plan
  • Flexible paid vacation
  • May be eligible for a discretionary annual cash bonus or incentive compensation, depending on the role
  • May be eligible for discretionary equity grants
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