Senior Director, Data and AI Engineer

🕒 June 29

🇺🇸 United States – Remote

💵 $230.7k - $345k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Otsuka Pharmaceutical Companies (U.S.)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💊 Pharmaceuticals

🏥 Healthcare

🧬 Biotechnology

Pharmaceuticals • Healthcare • Biotechnology

Otsuka Pharmaceutical Companies (U. S. ) is a prominent player in the pharmaceutical manufacturing industry, dedicated to creating innovative products for better health worldwide. The company comprises two main entities: Otsuka America Pharmaceutical, Inc. (OAPI), which is focused on commercializing Otsuka-discovered and in-licensed products in North America, and Otsuka Pharmaceutical Development & Commercialization, Inc. (OPDC), which specializes in the clinical development and global registration of innovative healthcare solutions, particularly in the field of neuroscience.

📋 Description

• Define and drive the strategic vision and roadmap for data engineering, AI, and Gen AI capabilities within R&D, aligning with overall business objectives and scientific priorities. • Serve as a key thought leader and trusted advisor to senior R&D leadership on opportunities and risks related to AI and data technologies. • Evaluate and adopt emerging data and AI technologies, balancing new opportunities with the need for scalability, reliability, and regulatory compliance. • Deliver leading edge engineering approaches, effective enterprise data strategy (specifically clinical, operational, and real-world data), robust and responsible AI/ML model development. • 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. • Oversee implementation of AI and Gen AI use cases from ideation to production deployment, and application life cycle management. • 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Comprehensive medical, dental, vision, prescription drug coverage • Company provided basic life, accidental death & dismemberment • Short-term and long-term disability insurance • Tuition reimbursement • Student loan assistance • A generous 401(k) match • Flexible time off • Paid holidays • Paid leave programs as well as other company provided benefits