Associate Director, Clinical Data Strategy and Insights

SUMMARY/JOB PURPOSE (Basic purpose of the job):

The Associate Director of Clinical Data Strategy and Insights supports the development of the Clinical, Operational, CPPM, and Translational Data acquisition, standardization, and analytics strategy while focusing on corporate and Development priorities. The Associate Director of Clinical Data Strategy and Insights provides key cross-functional liaison services and technical alignment to the on-time delivery of pivotal initiatives that involve significant business, technical, and process improvements across the organization. This role supports and influences the strategic direction and priorities of the function and partners closely with the Development organization, which is directly supported.

DUTIES/RESPONSIBILITIES:

• Provides problem-solving ability to resolve conflict and deal with a wide range of complex problems independently and through others.
• Provides mindset, ability to think beyond traditional working methods, influence and inspire change.
• Effectively contributes highly developed analytical skills, conceptual thinking, and integrative vision required to drive customer needs, business performance, and risk management.
• Strong ability to explain technical concepts to non-technical members of the organization.
• Displays knowledge of clinical development process, industry standards, and resources needed to manage trials of differing complexities.
• Tried ability to influence relevant stakeholders and global teams.
• Leads change with a positive approach for the self, team, and the business. Sees change as an opportunity to improve performance and contribute to the business.
• Demonstrates global and inclusive line management, development, and mentorship of others, identifying and providing opportunities to improve other people's capabilities.
• Demonstrated ability to set and handle priorities, resources, performance targets, and project initiatives in a global environment.
• Excellent collaboration skills and proven ability to effectively work in a cross-functional/matrix environment
• Uses broad expertise or unique knowledge and skills to contribute to development of company objectives and principles and to achieve goals in creative and effective ways.
• Identifies and implements methods, techniques, procedures, and evaluation criteria to achieve results.
• Develops technical and/or business solutions to complex problems.
• Performs other duties as assigned.

SUPERVISORY RESPONSIBILITIES:

• Capable of leading or managing the work of others by providing guidance to subordinates based on organizational goals and company policy, with responsibility for results, including costs, methods, and staffing.

EDUCATION/EXPERIENCE/KNOWLEDGE & SKILLS:

Education:

Bachelor’s degree in computer sciences, Data in a related field (e.g., Information Services, Data Science) or equivalent and a minimum of eleven years of related experience; or,

Master’s degree in computer sciences, Data in a related field (e.g., Information Services, Data Science) or equivalent and a minimum of nine years of related experience; or,

Equivalent combination of education and experience.

Experience:

• Same as above – Minimum of eleven years of Related Experience with a Bachleor’s Degree, or a minimum of nine years of related experience with a Masters, or equivalent combination of education and experience.

Knowledge, Skills and Abilities:

• Intermediate Skills in configuration and management of Databricks UC
• Intermediate Skills in programming languages including R and Python.
• Intermediate Knowledge and enterprise experience leading data acquisition, analytics, and AI-based capabilities across multiple Clinical domains.
• Intermediate Knowledge of Delta Lake, Data Modelling Best Practices and Data Lakehouse architecture.
• Intermediate Knowledge of Metadata Management and Data Lineage Tracking in Unity Catalogue
• Intermediate Knowledge of Enterprise Data Governance Methodologies and Data Cataloguing Tools (e.g. Atlan, Colibra, Reltio)

• Advanced Skills developing and administrating BI Platforms including Spotfire, Tableau, PowerBI.
• Advanced Technical Expertise in SaaS AWS Cloud Infrastructure including SE, EC2, Lambda, Glue, Redshift
• Intermediate Skills with CI/CD Tooling and Version Control as part Data Pipeline and Data Integration Strategies.
• Intermediate Abilities in Data Modeling and Warehouse Infrastructure Architecture
• Advanced Knowledge and Abilities in Data Modeling, Data Integration Development, Dev Ops and Data Gov