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

AbbVie•North Chicago, IL

11h

About The Position

AbbVie'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, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn 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 AbbVie’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 AbbVie’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 for future Clinical Development and R&D needs.

Requirements

Bachelor’s degree statistics, analytics, bioinformatics, data science or equivalent field. Master’s degree preferred
Must have 8-10+ years of experience with 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, Machine Learning, NLP/NLG, Cognitive Analytics etc.) preferred
Intermediate proficiency with visualization tools like Spotfire, Tableau or equivalent
Track record with building high-performing Analytics and Data Science teams
Ability to attract, challenge, develop and retain specialized talent with expertise in clinical development.
Experience with Machine Learning and other advanced analytics techniques preferred
Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman’s terms
Demonstrated problem-solving and analytical skills.
Track record with scaling multiple data science and analytics capabilities across the function/enterprise
Demonstrated history of leading in a fast-paced environment and delivering meaningful impact on business outcomes
Demonstrated ability to influence Sr. Executives and cross-functional leaders
Good understanding of clinical development functional areas and related processes is preferred
Proven track-record with leading complex cross-functional initiatives and change management efforts

Responsibilities

Manages line-level people managers and guru data scientists to execute on the Data Science and Analytics strategy
Lead 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. Assess 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
Responsible for crafting functional area strategies while ensuring alignment with the cross-functional stakeholder groups
Influences the 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 AbbVie’s enterprise data governance as a steward of clinical trials data and other sources that are utilized and analyzed by the team. Influence data owners from across R&D as well as areas that collaborate with R&D
Translate 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, AbbVie 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