Senior Director, Data and AI Engineer

* Lead and deliver the design, development, and deployment of extensible and scalable data engineering for complex R&D Data, pipelines, and architecture for AI applications to support all R&D data AI needs, including structured, unstructured (text, imaging, and data from sensors, medical devices, and digital apps), and real-time data.
* Oversee the implementation of AI and Gen AI use cases from ideation to production deployment, and application life cycle management. Hands on experience in architecting engineering foundation for a diverse set of AI solutions.
* Lead and deliver data processing, representations, and AI engineering in R&D for applications ranging across: clinical trial optimization, patient recruitment, content authoring automation, asset management, pharmacovigilance, quality, regulatory, and enterprise functions, Real-World Data, sensor and medical device data, omics data, .
* Champion engineering best practices, review AI solution architectures, and data & AI observability to ensure technical consistency, scalability, and effective governance of AI engineering across the portfolio of oversight.
* Architect and scale MLOps practices for in house applications to support the entire model lifecycle—from experimentation and deployment to monitoring and retraining—while ensuring automation and reproducibility.
* Drive awareness of AI/ML applications and the importance of strong Data and AI engineering foundation across the organization
* Provide technical and engineering support for Data and Information Governance, quality, and FAIR data
* Expertise in real-world data assets and using them to generate scientific evidence and guide operational effectiveness and efficiencies.
* Deep expertise across data engineering, representation, Gen AI, AI and machine learning techniques and experience in architecting and delivering AI/ML use cases.
* Strong team leadership, internal and cross-functional collaboration, project management skills with a focus on delivering impactful initiatives.
* 12+ years of progressive leadership experience in data engineering, AI/ML, and Gen AI with at least 5 years in senior technical leadership or management roles.
* Strong and demonstrated experience in architecting, building and maintaining large-scale data and AI solutions in a scientific, regulated, or research-heavy environment.
* Strong experience working within the pharmaceutical, biotech, or life sciences industry, particularly within R&D, is highly desirable along with a deep understanding of AI and Machine Learning and its applications in Pharma.
* Proven track record of implementing and deploying Gen AI and large language model (LLM) applications in production environments.
* Creative problem solving using responsible use of technology.
** Competencies*
* ** Accountability for Results
- ** Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.  
** Strategic Thinking & Problem Solving
- ** Make decisions considering the long-term impact to customers, patients, employees, and the business.  
** Patient & Customer Centricity
- ** Maintain an ongoing focus on the needs of our customers and/or key stakeholders.  
** Impactful Communication
- ** Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.  
** Respectful Collaboration
- ** Seek and value others’ perspectives and strive for diverse partnerships to enhance work toward common goals.  
** Empowered Development
- ** Play an active role in professional development as a business imperative.

This job description is intended to describe the general nature and level of the work being performed by the people assigned to this position.…