Senior Director, AI and Analytics

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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

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 modernMLOpspractices

• 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 theMLOpsstack 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 andmaintaindirect relationships with key AI platform partners including Google, Anthropic, Microsoft, and other leading vendors

• Leverage vendor partnerships forearly accessto 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

• MLOpsexperience:
  
  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

• AWSexpertisepreferred

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 recordtranslating business problems into ML solutions with measurable impact

• Matrix organization experience; comfortable with influence over authority

#LI-LN1

U.S. Pay Range

$ - $

The pay range reflects the full-time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on a number of factors including, but not limited to, relevant experience, skills, and education. This role is eligible for an annual short-term incentive award (e.g., bonus or sales incentive) and an annual long-term incentive award (e.g., equity).

Alnylam's robust Total Rewards package is designed to support your overall health and well-being. We offer comprehensive benefits including medical, dental, and vision coverage, life and disability insurance, a lifestyle reimbursement program, flexible spending and health savings accounts and a 401(k) with a generous company match. Eligible employees enjoy paid time off, wellness days, holidays, and two company-wide recharge breaks. We also offer generous family resources and leave.

Our commitment to your well-being reflects our belief that caring for our people fuels the impact we create together.

Learn more about these and additional benefits offered by Alnylam by visiting the Benefits section of the Careers website:

About Alnylam

We are the leader in RNAi therapeutics- a revolutionary approach with the potential to transform the lives of people with rare and common diseases. Built on Nobel Prize-winning science,…