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Alnylam Pharmaceuticals

Develops RNAi-based therapies for genetic diseases

Associate Director - Commercial Technology & Data Engineering

Engineering LeadershipUpdated on Nov 13
Full-timeCambridge, MA, USA$174.8k - $236.6k

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field is required; a master's degree is preferred.
  • At least 10 years of progressive experience in data, software, or platform engineering, including at least 5 years leading technical teams.
  • At least 4 years of experience building data pipelines and platform integrations for commercial functions such as marketing, sales or field operations, commercial analytics, patient services, or market access; pharmaceutical or life sciences experience is strongly preferred.
  • Experience leading engineering teams in an Agile delivery model, including backlog management, sprint planning, dependency management, and delivery execution across multiple Agile pods; experience operating with two or more pods is strongly preferred.
  • Hands-on expertise with Snowflake, dbt, Fivetran, and cloud-native orchestration such as Astronomer or Airflow, or similar tools; willingness to stay current and drive future outcomes through technical capability.
  • Production experience with Patient Services or CRM platforms such as Salesforce Health or Life Sciences Cloud and/or Veeva, and with CDP or activation architectures; Salesforce Data Cloud is strongly preferred, or Adobe Experience Platform or an equivalent composable CDP.
  • Direct experience integrating the Veeva ecosystem, including CRM, Vault, and Network, into a cloud data platform such as Snowflake, ideally using Fivetran or comparable CDC or ingestion tooling.
  • Experience integrating commercial data sources, including syndicated data such as IQVIA and Symphony, specialty pharmacy and hub feeds, claims, and HCP/HCO master data or similar.
  • Strong software engineering fundamentals, including Python, SQL, Snowflake, REST or GraphQL APIs, CI/CD, and infrastructure-as-code practices.
  • Ability to serve as a trusted technical partner to non-technical business stakeholders, particularly in commercial and marketing functions.
  • Working knowledge of pharmaceutical regulatory and privacy requirements, including 21 CFR Part 11, HIPAA, GDPR/CCPA, and MLR, as applied to commercial data and technology.
  • Experience standing up omnichannel engagement and next-best-action capabilities in a regulated pharmaceutical commercial environment.
  • Familiarity with Patient Services or hub operations and specialty data flows.
  • Experience with identity resolution and privacy-by-design architectures in a regulated industry.
  • Deep familiarity with the Veeva ecosystem, including CRM, Vault, Network, and its data integration patterns.
  • Experience with Snowflake Cortex, Streamlit, or equivalent governed, enterprise-grade LLM/AI enablement.
  • Background in real-time personalization engineering, including A/B testing infrastructure and journey orchestration platforms.
  • Experience with multi-touch attribution modeling and marketing mix analytics data products.
  • Cloud certification such as AWS Solutions Architect or equivalent, and working knowledge of AWS core services such as S3 and Lambda.
  • Prior experience in rare disease, specialty pharma, or biotech commercial operations.
  • Track record of recruiting and developing engineering talent from adjacent industries such as financial services, technology, or consumer digital.
  • Infrequent travel to conferences, vendor sites, and other technical providers is required.

Responsibilities

  • Define and execute the roadmap for commercial data and engineering capabilities in partnership with Commercial Technology and business stakeholders.
  • Serve as the primary engineering leader supporting Commercial and own the interface to the IT vertical leader for Commercial, partnering on strategy definition, solution ideation, execution, and delivery.
  • Build scalable data products and technology solutions that support Commercial Operations, Marketing, Patient Services, Market Access, and Insights & Analytics.
  • Own and evolve the Commercial data foundation, including customer, patient, engagement, territory, and market data assets that support analytics, AI, and digital capabilities.
  • Engineer and maintain the Commercial data spine, the standardized integration and modeling layer connecting Commercial execution systems, digital engagement platforms, analytics tools, and enterprise data assets.
  • Reduce point-to-point integrations and enable reusable, scalable data products and services through simplification and standardization.
  • Scale data governance across Commercial domains, ensuring ownership, data quality, cataloging, lineage, stewardship, and regulatory compliance.
  • Partner with the Senior Director of Platform Engineering to build Commercial capabilities on the Alnylam Data Platform while aligning platform services, capacity planning, roadmap priorities, and delivery needs.
  • Partner with Enterprise Architecture, AI & Analytics, and Data Governance leaders to ensure Commercial solutions align with enterprise standards, integration patterns, capabilities, and reference architectures.
  • Ensure commercial data and technology solutions meet pharmaceutical regulatory and privacy requirements, including GxP where applicable, 21 CFR Part 11, HIPAA, GDPR/CCPA, and MLR review, and align with enterprise governance standards, including Data Governance, the AI Governance Board, and the Microsoft Purview default-deny posture.
  • Lead the development and evolution of Commercial data products, integrations, and activation capabilities across the Commercial technology ecosystem.
  • Oversee delivery of strategic capabilities including Commercial CRM, Patient Services, omnichannel engagement, consent and preference management, and governed integration of Commercial platforms into the enterprise data ecosystem.
  • Ensure Commercial data and technology solutions are scalable, secure, compliant, and aligned with enterprise governance standards.
  • Lead delivery through Agile product teams, ensuring effective prioritization, backlog management, cross-team coordination, and predictable execution across Commercial data and engineering initiatives.
  • Manage, coach, and develop a multidisciplinary team of approximately 6–12 engineers across data engineering, software engineering, platform integration, and business intelligence.

About the Company

Alnylam Pharmaceuticals

Develops RNAi-based therapies for genetic diseases

Alnylam Pharmaceuticals develops RNA interference (RNAi) therapeutics to silence disease-causing genes, aiming to treat rare genetic disorders. Its products work by using RNA molecules that block gene expression, reducing the impact of specific genetic diseases. The company differentiates itself by concentrating on RNAi-based drugs for rare diseases and by building a pipeline through large clinical programs and strategic partnerships, such as commercialization deals in the Gulf States and collaborations with investors. Revenue comes from approved drug sales, licensing agreements, strategic collaborations, and related services like genetic testing and counseling. The company’s goal is to advance and commercialize RNAi therapies to improve outcomes for patients with genetic disorders, expanding its portfolio through partnerships and investments.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Cambridge, MA
Founded
2002

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