Remote Senior Director, Data & AI Engineering

Otsuka America Pharmaceutical Inc.

Topeka (KS)

Remote

USD 231,000 - 345,000

Full time

14 days+
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Benefits offered by this job

Comprehensive benefits
401(k) match
Paid time off

Job summary

Otsuka America Pharmaceutical Inc. seeks a Senior Director, Data and AI Engineering to define and lead the data and AI strategy across R&D. You will manage a high-performing team delivering scalable data foundations, Gen AI solutions, and compliant data governance in a regulated pharma environment.

You will partner with IT, data science, and business leaders to translate complex scientific challenges into actionable data products, driving innovation at scale.

Qualifications

  • Expertise in real-world data assets and generating scientific evidence.
  • Deep expertise across data engineering, AI/ML, Gen AI.
  • Strong leadership and cross-functional collaboration.
  • 12+ years of progressive leadership in data/AI with senior roles.
  • Experience in pharmaceutical R&D and regulated environments.
  • Proven Gen AI/LLM deployments in production.
  • Creative problem solving with responsible technology.

Responsibilities

  • Define and drive data engineering and Gen AI strategy for R&D.
  • Lead design and deployment of scalable AI data pipelines.
  • Oversee AI/Gen AI use cases from ideation to production.
  • Champion governance, privacy, and responsible AI practices.
  • Manage budget, resources, and timelines for the portfolio.
  • Collaborate with IT and external partners.

Skills

Data engineering
AI/ML
Gen AI
Team leadership
Regulatory compliance
Pharma domain
Strategic vision

Education

Masters degree
PhD preferred

Job description

Otsuka America Pharmaceutical Inc. seeks a Senior Director, Data and AI Engineering to define and lead the data and AI strategy across R&D. You will manage a high-performing team delivering scalable data foundations, Gen AI solutions, and compliant data governance in a regulated pharma environment.

You will partner with IT, data science, and business leaders to translate complex scientific challenges into actionable data products, driving innovation at scale.

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