Senior Director, AI and Analytics

Alnylam Pharmaceuticals-posted 1 day ago

Full-time • Director

Onsite

1,001-5,000 employees

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We are seeking a Senior Director, AI and Analytics with a passion for architecting solutions, building systems, and delivering real business impact through hands-on contribution. As Senior Director, you will own the enterprise AI capability, leading a small, high-caliber team while staying actively engaged in solving our most complex technical challenges. This role blends strategic leadership with meaningful hands-on work, with approximately 10–20% of your time dedicated to building, reviewing, and advancing production-grade AI/ML systems.This is a role for a deeply technical leader who enjoys staying close to the work. You’ll thrive here if you’re excited to design and deploy modern ML solutions, collaborate closely with engineers, and regularly engage with Python and frameworks like PyTorch as part of your day-to-day leadership.

Define and execute enterprise AI strategy across R&D, clinical, manufacturing, and commercial
Architect end-to-end AI/ML solutions from ideation through production
Establish technical standards and governance for regulated environments
Lead evaluation of emerging AI technologies (LLMs, generative AI, foundation models)
Architect and implement production ML systems using modern MLOps practices
Write production Python code for ML pipelines, model training, and inference
Build/deploy models using PyTorch, TensorFlow, scikit-learn on AWS SageMaker or Databricks ML
Own the MLOps stack and tackle complex technical challenges directly
Build and mentor 1-3 highly skilled AI engineers
Foster experimentation, scientific rigor, and continuous learning
Recruit world-class talent; lead from the front on hardest problems
Partner with R&D, Clinical Ops, Manufacturing, and Commercial to translate challenges into AI solutions
Communicate AI concepts and trade-offs to executive stakeholders
Drive adoption and measurable ROI across the organization
Lead AI education initiatives across the organization—democratizing AI knowledge at all levels
Regularly explore and demo new AI capabilities and technologies to keep the broader community engaged and skills sharp
Foster a culture of AI literacy and experimentation enterprise-wide
Build and maintain direct relationships with key AI platform partners including Google, Anthropic, Microsoft, and other leading vendors
Leverage vendor partnerships for early access to capabilities, technical support, and strategic roadmap alignment
Serve as primary technical liaison for AI vendor engagements and evaluations

10+ years building production AI/ML systems; 5+ years in leadership
Deep ML expertise: supervised/unsupervised learning, deep learning, NLP, computer vision, time series, causal inference
Expert Python with PyTorch, TensorFlow, scikit-learn, XGBoost
MLOps experience: MLflow, Kubeflow, SageMaker, Databricks ML
Strong software engineering: Git, CI/CD, Docker/Kubernetes, API development
LLM/generative AI experience (GPT, Claude, Llama)
Modern data platforms: Snowflake, Databricks, Airflow, dbt, Spark
AWS expertise preferred
5+ years in biotech, pharma, or data-intensive industry applying AI at scale
AI domain knowledge in at least one area: drug discovery, clinical trials, manufacturing optimization, or commercial analytics
Experience in regulated environments
5+ years leading AI/ML teams with hands-on technical mentorship
Track record translating business problems into ML solutions with measurable impact
Matrix organization experience; comfortable with influence over authority

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