Director, Product Engineering & Deployment

Position Overview

The Director, Product Engineering & Deployment, is responsible for leading the development, delivery and lifecycle maintenance of innovative digital solutions that support biotechnology operations. The role exists to ensure scalable, compliant, and business-value–driven data products are built and deployed across manufacturing, quality, supply chain and other organizational use cases. The position provides technical leadership, cross-functional collaboration, and project execution oversight to enable advanced data-driven decision making, operational excellence, and regulatory compliance in end-to-end biotechnology operations. 

Job Description

Key Accountabilities

• Lead end-to-end data product development lifecycle to deliver reliable, scalable, and compliant solutions. (25%)
• Manage and mentor a team of software engineers ensuring skills development, performance management, and alignment to business objectives. (10%)
• Collaborate with cross-functional stakeholders (manufacturing, quality, supply chain, Development, regulatory, and compliance) to translate business needs into digital solutions. (10%)
• Oversee product deployment and integration with enterprise systems (e.g., MES, LIMS, SAP, cloud data platforms), ensuring seamless operation in GxP environments. (10%)
• Ensure adherence to regulatory, cybersecurity, and quality standards (FDA, EMA, GxP, data privacy) throughout software development and deployment. (15%)
• In collaboration with product management, drive agile development practices (scrum, sprint planning, backlog management), fostering rapid iteration and value delivery. (10%)
• In collaboration with platform architects, data and AI engineers, provide technical leadership in modern software architectures (cloud-native, microservices, APIs, AI/ML integration, data pipelines). (5%)
• Provide capabilities to monitor product performance and user adoption, analyzing KPIs and implementing enhancements to maximize value realization. (5%)
• Lead vendor and technology partner engagements, ensuring effective collaboration and alignment with internal standards. (5%)
• And other job duties that may be assigned from time to time. (5%)

Minimum Education and Experience Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Biotechnology Informatics, or a related technical field required.
• 10+ years of professional experience in software development, data platforms, or digital product deployment
• At least 6 years in a leadership or team lead capacity.
• Proven experience in leading cross-functional teams, managing full software product lifecycle (design, development, testing, deployment, and support).
• Strong knowledge of cloud platforms (AWS, Azure), modern software architectures (microservices, APIs, containerization), and data/AI integration.
• Experience working in regulated biotechnology, pharmaceutical, or life sciences environments (GxP, FDA, EMA compliance) highly preferred. 

Preferred Education and Experience:

• Master’s degree in Data Science, Bioinformatics, Biotechnology, or Business/Technology Management preferred. 

Knowledge, Skills and Abilities:

• Technical: Expertise in modern programming languages such as TypeScript, JavaScript, Python, Java, GraphQL, C++, and SQL. Familiarity with frameworks like Spring ORM, Spring Boot, Nuxt.js, Serverless Framework, NestJS, Next.js, Ruby on Rails (RoR), and Redux. Experience with cloud platforms such as AWS and Azure. Competency in libraries/APIs including Node.js, Jenkins Pipeline, React, Vue, Vuex, API Development, Apache Lucene, and Protobuf. Proficient in containerization tools like Docker and Kubernetes. Skilled in paradigms such as Continuous Delivery (CD), Continuous Deployment, Continuous Integration (CI), Microservices, REST, Lambda Architecture, Serverless Architecture, Event-driven Architecture, DevOps, Database Design, Kanban, Concurrent Programming, Agile Software Development, Scrum, and Microservices Architecture.

• Biotech / Domain: Understanding of biotech processes, data standards, and regulatory frameworks (GxP, FDA 21 CFR Part 11, data privacy).

• Leadership: Strong people management, team building, and mentorship skills; ability to lead multidisciplinary teams.

• Analytical: Expertise in data analytics, AI/ML integration, digital twins, and advanced visualization tools.

• Soft Skills: Excellent communication, stakeholder management, problem-solving, and change management capabilities.

• Other: Ability to manage ambiguity, drive innovation, and deliver solutions under tight deadlines in a regulated environment.