Associate Director, Digital Strategy Lead Biologics

Responsibilities

• Establish and lead a Center of Excellence (COE) for digital transformation within PDS&T Biologics.
• Serve as the single point of contact for PDS&T biologics in partnering with IR, BTS, and other enterprise teams to develop key data and digital systems capabilities.
• Develop and execute a digital transformation strategy for capturing, retrieving, and connecting critical data related to PDS&T biologics workflows, promoting reusability and advanced analytics.
• Partner with scientists to develop and implement data analytics and modeling tools that support data visualization and predictive modeling.
• Collaborate with AI and digital science teams to revolutionize daily operations through transformative programs.
• Define KPIs/dashboards and communicate progress on initiatives to stakeholders.
• Influence leadership and cross-functional stakeholders for investments aligning digital transformation with PDS&T biologics business priorities.
• Represent scientists' needs and advocate for the work processes and culture needed for digital transformation.
• Benchmark internally and externally to ensure an industry-leading data and digital strategy for biologics process and analytics development.
• Build and develop leadership and technical skills in a diverse group of scientists equipped with advanced data analytics for the future.
• PhD degree in life sciences or science-based informatics with 10+ years of pharmaceutical industry experience.
• Minimum of 8 years of experience in a relevant R&D or Operations function within the pharmaceutical/biotechnology industry.
• Proven experience in enabling new digital or data management capabilities beyond incremental improvements or routine data system implementations.
• Technical expertise including knowledge in programming languages (e.g., Python, R) and cloud platforms (e.g., AWS, GCP).
• Familiarity with AI/ML platforms and tools (such as TensorFlow, PyTorch, or similar) that are relevant to biologics CMC workflows.
• Demonstrated ability to leverage AI and ML techniques for biologics CMC development to optimize processes, improve data analysis, and enhance predictive modeling capabilities.
• Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
• This job is eligible to participate in our short-term incentive programs.
• AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
• US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
• US & Puerto Rico applicants seeking a reasonabl

Benefits

Additional Information

The primary goal of this position is to lead the digital transformation effort for PDS&T Biologics. The selected individual will be responsible for designing, developing, and implementing a comprehensive data and digital strategy. This role involves establishing and leading a Center of Excellence (COE) for digital transformation and ML/AI capabilities within PDS&T biologics. The COE, which includes representatives from each functional group, will cater to the needs of scientists and work to develop a data systems architecture foundational for knowledge management, advanced data analytics, and predictive modeling. This leader will shape the vision for AI and digital strategy, influencing and driving end-to-end digital integration within Biologics CMC. This leader will collaborate closely with IT partners to evaluate and optimize data systems that enable seamless capture and connectivity of biologics process and analytical data, and establish business and data governance in partnership with other divisions within PDS&T, Dev Sci, Manufacturing, and the Quality organizations. The leader will prioritize use cases and workflow applications to enhance digital maturity and deliver measurable value to scientists

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