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Salary
$166k – $224k per year
Location
Hybrid (Cambridge, United States)
Seniority
Architect · 9+ years exp
Visa
H-1B filings in 12 months: 36 · for this role: 2 · green card filings: 9

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Sep 14, 2026.

Overview
Company
Impact
Profile match
Alnylam Pharmaceuticals is a biopharmaceutical company headquartered in Cambridge, Massachusetts, that develops and commercialises RNA interference therapeutics for rare and common diseases, including ATTR amyloidosis and acute hepatic porphyria. Founded in Cambridge in 2002 and listed on the Nasdaq, it has six approved medicines available in more than 70 countries, a manufacturing site in Norton, Massachusetts, a European base in Maidenhead and an affiliate in Tokyo. It hires research and biology scientists, quality control analysts, clinical science and regulatory affairs staff, field reimbursement and key account managers, and IT, cyber defense and HR technology leaders.

Overview 

Join the Alnylam Commercial Data and Analytics team and help build a product-driven engine that turns data-driven insights into deployed decisions with measurable business impact. As part of Customer Experience and Innovation, you will work cross-functionally with technical and business partners to accelerate commercial outcomes by standardizing what we build, how we build it, and how we deliver it through the tools and workflows business users rely on every day.

As Associate Director, Data Steward, you will contribute to prioritized Value Teams across the commercial organization: Business Performance & Drivers, Customer & Account Growth, Omnichannel & Media Optimization, Patient Pull-Through & Outcomes, and Evaluation & Learning. Value Teams collaborate fluidly to deliver and manage decision products that enable specific business outcomes, driving competitive foresight and actioning for the commercial organization through predictive and prescriptive analytics.

In this role, you will bring product thinking to commercial data foundations by designing the gold-level models and governed metrics that make decision products reusable, trusted, and scalable. You will enforce single source of truth standards while enabling fast delivery through clear documentation, testing, and predictable data products. You will work within and across multiple Value Teams, balancing standards and stewardship with practical enablement so teams can move faster without breaking trust.

The position will be based in Cambridge, MA.

Key Responsibilities

  • Work within and across multiple Value Teams, aligning to transparent priorities and delivering governed data products that scale across franchises and markets.
  • Own gold-level data modeling and architecture for key commercial domains, including conformed entities and reusable dimensional models that support analytics and platforms.
  • Establish and maintain single source of truth metrics, including canonical definitions, lineage, documentation, and version history with disciplined change control.
  • Own analytics engineering standards for the gold layer, including dbt model architecture, modular design, testing, documentation, and performance considerations.
  • Operate data quality management, including automated tests, monitoring, incident triage, root-cause analysis, and remediation coordination with engineering partners.
  • Define and deliver reliable data products with SLAs for freshness and availability that support decision products and self-serve insight surfaces.
  • Partner with Advanced Analytics to ensure metrics reflect decision intent and are fit for measurement and learning loops, and partner with AI and ML Engineering to ensure feature inputs are stable and traceable through approved versioned pathways.
  • Use AI tooling to increase efficiency and throughput for documentation, profiling, and issue investigation; operate in agile delivery rhythms using Jira and GitHub-based version control for dbt projects, definitions, and related technical artifacts.

Qualifications

  • BS degree in Data Engineering, Information Systems, Computer Science, Analytics, or related field, or equivalent experience.
  • 9 plus years in data engineering, data architecture, analytics engineering, or data governance, ideally in healthcare or life sciences.
  • Deep experience with gold-layer data modeling and architecture, including dimensional modeling and conformed dimensions.
  • Advanced proficiency in SQL and strong hands-on experience with dbt, including modular design, testing, documentation, and code review practices.
  • Experience defining and governing metrics, including lineage, metadata, access controls, stewardship workflows, and change management.
  • Experience using AI tooling to improve throughput and quality while maintaining accuracy, security, and governance discipline.
  • Strong ability to partner across functions, communicate standards clearly, and enable reuse across multiple Value Teams.
  • Experience working in Jira and collaborating using git-based version control in GitHub.

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, Alnylam has delivered the breakthroughs that made RNAi therapeutics possible and are just at the beginning of what’s possible. Our deep pipeline, late-stage programs, and bold vision reflect our core values: fierce innovation, passion for excellence, purposeful urgency, open culture and commitment to people. We're proud to be a globally recognized top employer, where an authentic, inclusive culture and breakthrough thinking fuel one another.

At Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. Qualified applicants will receive consideration for employment without regard to their sex, gender or gender identity, sexual orientation, race, color, ethnicity, national origin, ancestry, citizenship, religion, creed, physical or mental disability, pregnancy status or related conditions, genetic information, veteran or military status, marital or familial status, political affiliation, age, or any other factor protected by federal, state, or local law. Alnylam is an E-Verify Employer.

Before applying, please review Alnylam's Candidate  Privacy Notice  regarding how Alnylam handles Personal Data you provide with your application for employment.

The pay range below 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:  https://www.alnylam.com/careers

U.S. Pay Range

$165,800—$224,200 USD

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