Remote Senior Director, Data, AI & Gen AI Engineering

Otsuka America Pharmaceutical Inc.; Hartford (CT); Remote; USD 231,000 - 345,000; Full time

Benefits offered by this job

Medical benefits

401(k) match

Paid time off

Job summary

Otsuka America Pharmaceutical Inc. is seeking a Senior Director of Data and AI Engineering to define and execute an enterprise data and AI strategy for R&D, with emphasis on Gen AI and compliant data foundations.

You will lead a high-performing team of data engineers and AI specialists in a regulated pharmaceutical setting. The role requires deep experience in AI/ML, strong leadership, and the ability to translate complex scientific challenges into scalable data and AI solutions that enable drug

Qualifications

• Expertise in real-world data assets and using them to generate scientific evidence and operational insights.
• Deep expertise across data engineering, AI/ML, and Gen AI use cases.
• Strong leadership and collaboration across cross-functional teams.
• Experience in regulated/pharma environments is highly desirable.

Responsibilities

• Define the strategic vision and roadmap for data engineering, AI, and Gen AI in R&D.
• Lead design, development, and deployment of scalable data pipelines and AI foundations.
• Oversee AI/Gen AI use cases from ideation to production deployment and lifecycle management.
• Drive MLOps maturity and governance across the portfolio.
• Ensure compliance with data privacy, GxP, and responsible AI principles.
• Partner with IT, platform teams, and external vendors to deliver data/AI solutions.

Skills

Real-world data

Gen AI

AI/ML leadership

Regulatory compliance

Education

Masters in Mathematical, Engineering, or Scientific disciplines

Job description

Otsuka America Pharmaceutical Inc. is seeking a Senior Director of Data and AI Engineering to define and execute an enterprise data and AI strategy for R&D, with emphasis on Gen AI and compliant data foundations.

You will lead a high-performing team of data engineers and AI specialists in a regulated pharmaceutical setting. The role requires deep experience in AI/ML, strong leadership, and the ability to translate complex scientific challenges into scalable data and AI solutions that enable drug