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Associate Director, Commercial Technology & Data Engineering

Reads like a Data Leadership role: running a data team.

Pay
Pay not listedSimilar roles state $154K–$225K
Work setting
Not stated
Employment
Permanent — employment source
Employment type in the employer’s posting: Permanent
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • 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.
  • 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.

Preferred experience

  • 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.
Qualification wording
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.
Education & alternatives
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.

Posting record

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Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 27, 20268 days ago
Recorded sightings
28
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

Day 8

Similar jobs usually come down between day 7 and day 53.

From 7,854 similar postings that came down. Coming down is not always a hire.

Alnylam Pharmaceuticals is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • dbt
  • Fivetran
  • S3
  • Snowflake
  • Airflow
  • Streamlit
Where the posting names them
- 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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Has Alnylam Pharmaceuticals posted this job before?

Yes. We’ve followed one other Associate Director, Commercial Technology & Data Engineering job there since July 2026. It is still up.

  1. CambridgeStill up after 97 days, first seen Jul 31
  2. This jobUp 8 days so far, first seen Oct 27

About the role

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.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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

  • 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 across 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.

 

Commercial Data Foundation & Data Products

  • 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 that connects Commercial execution systems, digital engagement platforms, analytics tools, and enterprise data assets.
  • Drive simplification and standardization by reducing point-to-point integrations and enabling reusable, scalable data products and services

 

Data Governance & Platform Partnership

  • Scale data governance capabilities across Commercial domains, ensuring strong ownership, data quality, cataloging, lineage, stewardship, and regulatory compliance.
  • Partner closely with the Senior Director, 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 all commercial data and technology solutions meet pharmaceutical regulatory and privacy requirements (GxP where applicable, 21 CFR Part 11, HIPAA, GDPR/CCPA, MLR review) and align with enterprise governance standards (Data Governance, AI Governance Board, and the Microsoft Purview default-deny posture).

 

Commercial Platform & Integration Leadership

  • 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

 

Delivery & People Leadership

  • 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 spanning data engineering, software engineering, platform integration, and business intelligence.

 

Qualifications

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.
  • 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.
  • 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).
  • 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.
  • 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.
  • Working knowledge of pharmaceutical regulatory and privacy requirements (21 CFR Part 11, HIPAA, GDPR/CCPA, MLR) as applied to commercial data and technology.
  • Travel to conferences, vendor sites and other technical providers will be required but infrequent.

Preferred

  • Experience standing up omnichannel engagement and next-best-action capabilities in a regulated pharma commercial environment.
  • Familiarity with Patient Services / 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 (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 (AWS Solutions Architect or equivalent); working knowledge of AWS core services (S3, Lambda).
  • Prior experience in rare disease, specialty pharma, or biotech commercial operations.
  • Track record of recruiting and developing engineering talent from adjacent industries (financial services, technology, consumer digital).

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.  

#LI-LN1

 

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Location & working pattern

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
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