Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Reads like a Data Leadership role: running a data team.
Cambridge, MA
Actively hiring, first seen by us 8 days agoEmployment type in the employer’s posting: PermanentFrom the employer’s posting
Own and evolve the commercial data foundation for customer, patient, and territory data
Build and maintain the commercial data spine that connects execution, engagement and analytics systems
Lead delivery of Commercial CRM, Patient Services, and omnichannel engagement capabilities
Run Agile product teams, managing backlog, priorities and cross-team dependencies
Manage, coach and develop a team of about 6 to 12 engineers
Own and evolve the Commercial data foundation, including customer, patient, engagement, territory, and market data assets
Engineer and maintain the Commercial data spine
Oversee delivery of strategic capabilities including Commercial CRM, Patient Services, omnichannel engagement
Lead delivery through Agile product teams, ensuring effective prioritization, backlog management, cross-team coordination
Manage, coach, and develop a multidisciplinary team of approximately 6–12 engineers
10+ years of progressive experience in data, software, or platform engineering, with at least 5 years leading technical teams.
Experience standing up omnichannel engagement and next-best-action capabilities in a regulated pharma commercial environment.
Hands-on expertise with the modern data stack: Snowflake, dbt, Fivetran, and cloud-native orchestration (Astronomer/Airflow) or similar. Express the willingness to keep current and drive for future outcomes via technical capability.
Familiarity with Patient Services / hub operations and specialty data flows.
Experience integrating commercial data sources: syndicated data (IQVIA, Symphony), specialty pharmacy and hub feeds, claims, and HCP/HCO master data or similar.
Experience with identity resolution and privacy-by-design architectures in a regulated industry.
Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field; Master's degree preferred.
4+ years building data pipelines and platform integrations for commercial functions (marketing, sales/field, commercial analytics, patient services, or market access); pharmaceutical or life sciences experience 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.
Required - Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field; Master's degree preferred. - 10+ years of progressive experience in data, software, or platform engineering, with at least 5 years leading technical teams.
Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 8
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- Experience integrating commercial data sources: syndicated data (IQVIA, Symphony), specialty pharmacy and hub feeds, claims, and HCP/HCO master data or similar. - Strong software engineering fundamentals: Python, SQL, Snowflake, REST/GraphQL APIs, CI/CD, and infrastructure-as-code practices. - Demonstrated ability to serve as a trusted technical partner to non-technical business stakeholders, particularly across commercial and marketing functions.
- Experience with multi touch attribution modeling and marketing mix analytics data products. - Cloud certification (AWS Solutions Architect or equivalent); working knowledge of AWS core services (S3, Lambda). - Prior experience in rare disease, specialty pharma, or biotech commercial operations.
- 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 the modern data stack: Snowflake, dbt, Fivetran, and cloud-native orchestration (Astronomer/Airflow) or similar. Express the willingness to keep current and drive for future outcomes via technical capability. - Production experience with Patient Services / CRM platforms (Salesforce Health/Life Sciences Cloud and/or Veeva) and with CDP / activation architectures, with Salesforce Data Cloud strongly preferred (or Adobe Experience Platform / equivalent composable CDP).
- Production experience with Patient Services / CRM platforms (Salesforce Health/Life Sciences Cloud and/or Veeva) and with CDP / activation architectures, with Salesforce Data Cloud strongly preferred (or Adobe Experience Platform / equivalent composable CDP). - Direct experience integrating the Veeva ecosystem (CRM, Vault, Network) into a cloud data platform such as Snowflake, ideally via Fivetran or comparable CDC/ingestion tooling. - Experience integrating commercial data sources: syndicated data (IQVIA, Symphony), specialty pharmacy and hub feeds, claims, and HCP/HCO master data or similar.
- Deep familiarity with the Veeva ecosystem (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.
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Yes. We’ve followed one other Associate Director, Commercial Technology & Data Engineering job there since July 2026. It is still up.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Overview
Alnylam is building an integrated commercial technology, data, and AI ecosystem to support customer engagement, patient services, analytics, and business growth.
The Associate Director, Commercial Technology & Data Engineering serves as the primary engineering leader supporting Alnylam's Commercial organization. This role is responsible for the commercial data and engineering capabilities that enable commercial operations, analytics, digital engagement, and AI-driven insights.
Reporting to the Head of Data, AI & Engineering, the Associate Director partners closely with Commercial Technology leadership, business stakeholders, Platform Engineering, Enterprise Architecture, and Data & AI teams to translate business priorities into scalable technology solutions. The role leads a multidisciplinary team with an expected span of control of 6 to 12 engineers across data engineering, software engineering, platform integration, and BI, and serves as the engineering leader across Alnylam's commercial digital and analytics programs. The role will be re-evaluated as scope, delivery demand, and team size grow.
Hybrid role based in Cambridge, MA, with 3 days/week onsite
Responsibilities
Commercial Data & Engineering Strategy
Commercial Data Foundation & Data Products
Data Governance & Platform Partnership
Commercial Platform & Integration Leadership
Delivery & People Leadership
Qualifications
Required
Preferred
About Alnylam: Alnylam Pharmaceuticals (Nasdaq: ALNY) has led the translation of RNA interference (RNAi) into a whole new class of innovative medicines with the potential to transform the lives of people afflicted with rare and more prevalent diseases. Based on Nobel Prize-winning science, RNAi therapeutics represent a powerful, clinically validated approach to treating diseases at their genetic source by “interfering” with mRNA that cause or contribute to disease. Since our founding in 2002, Alnylam has led the RNAi Revolution and continues to turn scientific possibility into reality.
Our culture: Our people-first culture is guided by our core values: fiercely innovative, open culture, purposeful urgency, passion for excellence, and commitment to people, and these values influence how we work and the business decisions we make. Thanks to feedback from our employees over the years, we’ve been fortunate to be named a top employer around the world. Alnylam is extremely proud to have been recognized as one of Science Magazine’s Top Biopharma Employers, one of America's Most Responsible Companies for 2024 by Newsweek, a Fast Company Best Workplace for Innovators, and a Great Place to Work in Canada, France, Italy, Spain, Switzerland, and UK – among others.
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.
Before applying, please review Alnylam's Candidate Privacy Notice regarding how Alnylam handles Personal Data you provide with your application for employment.
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Cambridge, MA
Reporting to the Head of Data, AI & Engineering, the Associate Director partners closely with Commercial Technology leadership, business stakeholders, Platform Engineering, Enterprise Architecture, and Data & AI teams to translate business priorities into scalable technology solutions. The role leads a multidisciplinary team with an expected span of control of 6 to 12 engineers across data engineering, software engineering, platform integration, and BI, and serves as the engineering leader across Alnylam's commercial digital and analytics programs. The role will be re-evaluated as scope, delivery demand, and team size grow. Hybrid role based in Cambridge, MA, with 3 days/week onsite Responsibilities
No clear work-authorization passage found. Eligibility is unconfirmed.