Head Technology Integration & Standards

Job Description Summary

The Global Head Technology Integration & Tech Standards is accountable for the end-to-end definition, development and continual improvement of the Clinical Trials Technology ecosystem, faultlessly navigating the organization from the current ‘STRIDE’ systems landscape into the next generation of platforms for clinical trial operations. Responsible for collaborating with internal (domain platforms, business leaders etc.) and external (e.g. DEVELOPMENT (DEV), DDIT, Veeva executives etc.) partners to progress GCO’s holistic technology strategy in advance of industry trends and pace.

A crucial facet of this role will be to own and manage the Data Strategy for the ClinOps Data Domain in GCO, and the effort to build and exercise a cross-functional data governance framework in alignment with the DEV Enterprise Data Management Strategy. He/She is accountable for the execution of Novartis’ ambition within GCO to turn data into strategic assets to drive actionable insights across the organization. The Global Head Technology Integration & Tech Standards will manage the responsible use of FAIR data, while maximizing value creation across GCO. This ambition is one of key pillars in the broader digital transformation happening at Novartis to be a ‘medicines and data science company. Furthermore, Global Head Technology Integration & Tech Standards will lead a team of Global Managers that collectively will exercise the ClinOps Data Governance framework.

 

Job Description

Major accountabilities:

• Accountable for end-to-end ownership of the Novartis Clinical Trials technology ecosystem
• Responsible for high-impact, cross-functional, critical technology strategy and program identification and coordinated deployment
• Responsible for transformation of Novartis Clinical Trials technology ecosystem, and strategy in advance of industry trends and pace
• Business counterpart to Head DDIT GCO IT, and key interface for Audit & Inspection activities
• Responsible for the successful execution of the ClinOps Data Strategy centered around the following key pillars
  • Identification and Harmonization of Critical Data Elements for critical Business Processes, assess data quality levels and drive data quality improvements for CDEs with low data quality
  • Master & Reference Data Management and adoption of Novartis Enterprise Data Management tools and practices
  • Maintenance and continuous improvement of a harmonized E2E Operational Data Model & Data Architecture to ensure data lineage between source systems, data consuming systems, reporting and analytics tools to eliminate systemic Data Quality issues
  • Data Quality Management and the further adoption of automated DQM tools, such as Dr. Agent or Attacama, to drive down Data Quality issues caused by users of Data Source Systems
  • Data Security & Access Management and the roll out of robust tools and practices to manage internal and external access to systems and data
• Accountable for the successful outcome of Inspections and Internal Audits related to ClinOps Data Integrity
• Standing member of the Development Data Leadership Team.

Key performance indicators:

• On-time and on-budget delivery of compliant value-added technology tools and analytical applications
• Managed IT Portfolio with appropriate service levels, problem resolutions, compliance, audit readiness and retirements
• Cost effective management of budget and resources.
• Elimination of systemic Data Quality issues after full roll-out of Data Governance Framework
• Significant improvements in level of user related Data Quality issues covered by Dr. Agent
• Low level of Data Flow and Data Quality issues after launch of new technology platforms 
• Up-to-date repository of Business Process & Data Architecture diagrams and related information for GCO Business Domains, including integrations to other DEV and Novartis Business Domains
• Excellent communication with operational and project teams

Minimum Requirements:

• Advanced degree in science, engineering, business or mathematics/statistics preferred
• Strong understanding of Drug Development processes and IT related systems with proven Development and IT experience (10-15 years)
• Proven experience in managing large scale, cross functional projects and organizations (10-15 years) Experience in large scale Master & Reference Data Management activities
• Ability to interact with all organizational levels in DEV from Senior Management to Project and System level associates as well as External partners Senior Executives
• Expertise in organization dynamics and culture, ability to gain trust and confidence at all levels in the organization, ability to take strong decisions. Excellent analytical skills

 

Skills Desired

Clinical Trials, Data Architecture, Data Governance, Data Integration, Data Management, Data Products, Data Quality, Data Science, Data Strategy, Drug Development, Leadership, Operations, Strategy Execution