Director, Feasibility & Start-up Analytics, Data Science & Analytics

Company Description

Abb Vie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at  Follow @abbvie on X, Facebook, Instagram, You Tube, Linked In, and Tik Tok.

Data Science and Analytics is an ambitious team of Data Scientists and Data Engineers with a unique blend of Business, Scientific, and Machine Learning expertise that seeks to unleash the full potential of Abb Vie’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose solutions. The Director, Data Science and Analytics is a leadership role and is responsible for driving vision, strategy, talent management and operations delivery of key planning, feasibility and real‑world data products and insights across Abb Vie’s portfolio.

Identifies new capabilities and opportunities to drive analytics innovation and value creation. Fosters a culture of experimentation to enable data‑driven insights for complex business problems. Influences cross‑functional leaders to unleash the full potential of data and advanced analytics techniques like Machine Learning and Artificial Intelligence. Co‑creates strategies with cross‑functional stakeholders for next‑generation analytics solutions in anticipation of future Clinical Development and R&D needs.

• Manages line‑level people managers and guru data scientists to execute on the Data Science and Analytics strategy.
• Leads next‑generation technology and process to enable enterprise data analytics on pace with emerging integrated data sources (operational data, real‑world data, clinical trial data, and other public data sources); monitors emerging trends across the external technology and analytics environment. Assesses impacts to current and future strategies.
• Responsible for coaching, mentoring and performance management of direct reports; develops future leaders in alignment with R&D business needs.
• Identifies new capabilities and opportunities to drive analytics innovation and value creation for the responsible business areas (Clinical Trial Feasibility and Start‑up). Forms cross‑functional teams to implement new capabilities; is responsible for crafting functional area strategies while ensuring alignment with the cross‑functional stakeholder groups.
• Influences cross‑functional stakeholders and Sr. Executives to identify opportunities to unleash the full potential of data and analytics, including advanced ML techniques and Artificial Intelligence.
• Influences Abb Vie’s enterprise data governance as a steward of clinical trials data and other sources that are utilized and analyzed by the team. Influences data owners from across R&D as well as areas that collaborate with R&D.
• Translates R&D strategy into functional area plans. Works with cross‑functional leaders to gain alignment on project prioritization and timelines.
• Fosters innovation and entrepreneurial culture within the team that attracts and retains top talent; creates an environment of continuous learning.
• Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, Abb Vie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development.

• Bachelor’s degree in statistics, analytics, bioinformatics, data science or equivalent field (Master’s degree preferred).
• 8–10+ years of experience enabling novel analytics capabilities across business areas with 5–6 years of experience leading a team or cross‑functional initiatives.
• Advanced domain knowledge in clinical trial planning, feasibility, start‑up, and relevant data sources.
• Expertise in current and emerging technologies (e.g., Data Visualizations, Big Data, AI,…