Senior Director, AI and Analytics

Overview

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.

What You’ll Do p>Senior Director will own the enterprise AI capability, leading the enterprise AI strategy, designing alignment, and overseeing the AI strategy across R&D, clinical, manufacturing, and commercial.

You’ll dedicate 10‑20% of your time to building, reviewing, and advancing production‑grade AI/ML systems, ensuring that the most complex technical challenges are solved. You’ll be a deeply technical leader who enjoys staying close to the work, designing and deploying modern ML solutions, collaborating closely with engineers, and regularly engaging with Python and frameworks like PyTorch as part of your day‑to‑day leadership.

AI

Strategy & Technical 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)

Hands‑On Engineering

• 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, Tensor Flow, scikit‑learn on AWS Sage Maker or Databricks ML
• Own the MLOps stack and tackle complex technical challenges directly

Team Leadership

• 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

Business Partnership

• 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

AI Education & Community

• 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

Strategic Vendor Partnerships

• Build and maintain indirect 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

Requirements

• 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, Tensor Flow, scikit‑learn, XGBoost
• MLOps experience: MLflow, Kubeflow, Sage Maker, 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

Business & Leadership (Required)

• 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

At Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. We are dedicated to building an environment where employees can feel that they belong, can bring their authentic selves to work, and achieve to their full potential. By empowering employees to embrace their unique differences at work, our business grows stronger with advanced and original thinking, allowing us to bring groundbreaking medicines to patients.

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