Director IT Engineering

Role Summary

The Director of IT Engineering will play a pivotal role in establishing the Digital Automation and Integration solutions within the Digital DevOps Function. The role requires a highly skilled Solution Architect with deep expertise in Application Development, Intelligent Automation, Agentic AI Automation, and Application Integration, with experience delivering automation solutions in Life Sciences/ Biotechnology and a strong understanding of infrastructure domains such as AWS Cloud, Security, Networks, Platforms and various applications (e.g., Oracle EBS, Veeva, Salesforce). The candidate should collaborate across cross-functional teams and articulate automation challenges to stakeholders while contributing to technical documentation.

Responsibilities

• Create Solution Architecture and Design to implement scalable, robust, and secure solutions for applications using BPM technologies and Automation tools.
• Work with Automation Architects, Application Architects, Integration Architects, Security Architects, Infrastructure, Platform and Enterprise Architects to lead the development of process and task automation solutions leveraging tools such as UiPath, Power Automate, and Agentic AI platforms.
• Build AI-driven solutions using Agentic AI for intelligent automation and decision-making processes.
• Develop and implement digital automation strategies tailored to Life Sciences industry needs, ensuring compliance with standards and regulations.
• Identify opportunities for process improvement and task automation, delivering measurable efficiency gains.
• Stay updated on emerging trends in automation and AI technologies to drive innovation.
• Ensure solution designs align with infrastructure, security, and compliance requirements in collaboration with Infrastructure, Platform, and Security Architects.
• Collaborate with Application Architects and Development Teams to implement end-to-end solutions meeting business and technical goals.
• Communicate technical concepts effectively to technical and non-technical stakeholders.
• Create comprehensive technical documentation, including architecture diagrams, design specifications, and operational guidelines.
• Prepare and deliver presentations to stakeholders, articulating automation challenges, capabilities, and proposed solutions.
• Ensure solutions are optimized for AWS Cloud and other infrastructure platforms, considering scalability, performance, and cost efficiency.
• Address security and compliance requirements in collaboration with Information Security teams.
• Track and analyze KPIs to measure the success and effectiveness of the solutions built.
• Participate in leadership meetings to provide updates on progress, challenges, and outcomes of initiatives.
• Work with Quality to respond to regulatory non-compliance and related CAPA.

Qualifications

• Required: 15+ years of experience in Solution Architecture with a focus on Digital Application Development, Automation, AI, and Integration.
• Required: Strong understanding of AWS Cloud, including infrastructure design, scalability, and cost optimization.
• Required: Knowledge of security, networking, and platforms, with ability to collaborate with domain experts.
• Required: Proficiency in technical writing and creating architecture documentation.
• Required: Proven expertise in BPM technologies such as Appian, Camunda, UiPath Apps, Power Automate, AI/ML, RPA and Intelligent Automation tools, Agentic AI, and integration platforms such as Boomi; messaging platforms such as Amazon MQ, ActiveMQ, RabbitMQ, IBM MQ.
• Required: Demonstrated success in implementing process and task automation in the Life Sciences Industry.
• Required: Excellent communication and interpersonal skills to engage with diverse stakeholders.
• Required: Strong analytical and problem-solving abilities.
• Required: Ability to manage multiple projects and prioritize tasks effectively.
• Required: Good understanding of AWS Infrastructure services and Cloud Architecture.
• Required: Good understanding of SSDLC and Observability frameworks.
• Required: Prior experience working in Life Science regulatory environment.
• Required: Good understanding and experience of GxP Qualification and Validation activities.

Education

• Required: Master’s degree in information technology or computer science.