Director, Data Engineering & Management TOQ & ReDev
Alnylam Pharmaceuticals
4 months ago
Remote friendly (Cambridge, MA)
United States
IT
Responsibilities:
- Own delivery of data engineering and data management solutions for TOQ and R&D, ensuring reliable, scalable, and GxP-compliant data platforms that support manufacturing, quality, clinical, and research decision-making
- Architect and implement end-to-end data pipelines and data products on the Alnylam Lakehouse, integrating manufacturing, laboratory, quality, clinical, and research systems using modern data engineering practices
- Lead adoption of modern data movement and integration patterns, transitioning away from legacy batch and point-to-point integrations toward managed ingestion, streaming, and governed data sharing
- Serve as the primary data engineering partner to TOQ/ReDev business and technology leaders in an embedded “two-in-a-box” model to co-design and deliver next-generation capabilities
- Provide hands-on technical leadership for complex integration, data quality, and performance challenges; set engineering standards and best practices
- Support evaluation and implementation of new manufacturing and supply chain platforms by defining data integration requirements and aligning with data architecture standards
- Build, lead, and develop a high-performing team of data engineers and data management professionals; ensure accountability for delivery across full-time and variable resources
Qualifications:
Required:
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
- 8+ years in data engineering or data platform development; 3+ years in a people-leadership role
- Strong hands-on experience with modern data platforms/architectures, including cloud data services and Snowflake-based lakehouse environments
- Experience designing/delivering data integrations in regulated (GxP) environments; solid understanding of data integrity and validation principles
- Proven ability to partner with business stakeholders and translate complex requirements into scalable, compliant solutions
Preferred:
- Experience in biotechnology/pharmaceutical/life sciences
- Familiarity with manufacturing/laboratory/quality/clinical systems (e.g., MES, LIMS, ELN, QMS, clinical data platforms)
- Experience working in agile or product-oriented delivery models
Benefits:
- Eligible for annual short-term incentive award and annual long-term incentive award (e.g., bonus or equity)
- Medical, dental, and vision; life and disability insurance; lifestyle reimbursement; flexible spending/health savings accounts; 401(k) with company match; paid time off, wellness days, holidays, and two company-wide recharge breaks
- Own delivery of data engineering and data management solutions for TOQ and R&D, ensuring reliable, scalable, and GxP-compliant data platforms that support manufacturing, quality, clinical, and research decision-making
- Architect and implement end-to-end data pipelines and data products on the Alnylam Lakehouse, integrating manufacturing, laboratory, quality, clinical, and research systems using modern data engineering practices
- Lead adoption of modern data movement and integration patterns, transitioning away from legacy batch and point-to-point integrations toward managed ingestion, streaming, and governed data sharing
- Serve as the primary data engineering partner to TOQ/ReDev business and technology leaders in an embedded “two-in-a-box” model to co-design and deliver next-generation capabilities
- Provide hands-on technical leadership for complex integration, data quality, and performance challenges; set engineering standards and best practices
- Support evaluation and implementation of new manufacturing and supply chain platforms by defining data integration requirements and aligning with data architecture standards
- Build, lead, and develop a high-performing team of data engineers and data management professionals; ensure accountability for delivery across full-time and variable resources
Qualifications:
Required:
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
- 8+ years in data engineering or data platform development; 3+ years in a people-leadership role
- Strong hands-on experience with modern data platforms/architectures, including cloud data services and Snowflake-based lakehouse environments
- Experience designing/delivering data integrations in regulated (GxP) environments; solid understanding of data integrity and validation principles
- Proven ability to partner with business stakeholders and translate complex requirements into scalable, compliant solutions
Preferred:
- Experience in biotechnology/pharmaceutical/life sciences
- Familiarity with manufacturing/laboratory/quality/clinical systems (e.g., MES, LIMS, ELN, QMS, clinical data platforms)
- Experience working in agile or product-oriented delivery models
Benefits:
- Eligible for annual short-term incentive award and annual long-term incentive award (e.g., bonus or equity)
- Medical, dental, and vision; life and disability insurance; lifestyle reimbursement; flexible spending/health savings accounts; 401(k) with company match; paid time off, wellness days, holidays, and two company-wide recharge breaks