Associate Director, Data Engineering and Automation

Role Summary

Associate Director, Data Engineering and Automation, based in Cambridge, MA. Responsible for enabling and managing future data engineering and automation platforms, overseeing day-to-day development, and aligning delivery to the strategic vision. Focuses on emerging technology and cloud-based solutions to transform data engineering and automation across the portfolio.

Responsibilities

• Lead the analysis, design, development, and implementation of advanced data engineering and automation platforms to enable data-driven workflows and intelligent solutions.
• Oversee data engineering ecosystem design, plan projects, establish and monitor progress, and ensure initiatives are completed on time, within budget, and effectively integrated with other systems.
• Implement pipelines that scale to process large data volumes with robustness, reliability, and high performance for big data workloads.
• Collaborate with enterprise strategy and architecture teams to assess capabilities, identify gaps, and drive innovative solutions for future needs.
• Work with business partnering teams, domain end users, and scientists to understand complex data requirements and opportunities for improvement.
• Support and advance data engineering needs for automation and integration across functional areas with scalable infrastructure solutions.
• Direct the development and configuration of data engineering platforms and automation frameworks from concept to production stabilization.
• Oversee testing, debugging, and documentation of data engineering workflows and system automation solutions.
• Lead activities related to implementation, enhancement, and ongoing maintenance of data engineering and automation platforms.
• Oversee service requests and perform critical support and maintenance to ensure system uptime and reliability.
• Establish requirements management processes to identify, verify, and document business, functional, and technical requirements to support robust, technology-led solutions.
• Collaborate with IT Architects to define business solutions aligned with strategies, priorities, and anticipated benefits.
• Stay informed on emerging technologies, overseeing research into new tools, frameworks, and methodologies to support data engineering and automation needs.
• Drive experimentation and proof-of-concept initiatives to explore innovative features, automation techniques, and platform enhancements.
• Provide leadership for evaluating and recommending advanced frameworks, platforms, and tools for efficient data engineering and automation solutions.

Qualifications

• Required: A Bachelor's Degree in Computer Science. Master’s Degree preferred.
• Required: Minimum of 8 years of experience in a technology-focused software development and data engineering role.
• Required: Experience developing and deploying technology and process changes, preferably in the pharmaceutical or biotech industry.
• Required: Excellent leadership and communication skills, with the ability to articulate complex data concepts to non-technical stakeholders.
• Required: Demonstrated ability to drive projects to completion in a timely and efficient manner.
• Required: Meticulous attention to detail, enhancing quality and precision across projects.
• Required: Direct experience in the pharmaceutical industry or related field.
• Preferred: Experience leading a medium to large organization and influencing senior-level management and key stakeholders.
• Preferred: Track record of leading business process transformation and delivering complex programs; experience managing large, globally dispersed teams.
• Preferred: Healthcare business acumen with understanding of the pharmaceutical industry.

Skills

• Strategic thinking and ability to align data engineering initiatives with organizational goals
• Strong leadership and talent development capabilities
• Excellent stakeholder management and communication
• Proven ability to drive cross-functional collaboration
• Analytical mindset with attention to detail and quality

Education

• Bachelor’s Degree in Computer Science (required)
• Master’s Degree in a related field (preferred)

Additional Requirements

• Hybrid work arrangement (in accordance with policy)