Senior Director, Global Digital & Technology Systems Engineering

Job Summary

Required Qualifications

• •12+ years of professional experience in data, digital & information technology with direct oversight and experience in the Systems Engineering area in the Pharmaceutical, Biotechnology, and/or Medical Device industries
• •7+ years of proven leadership experience at a senior level, directing a team of multi-skilled direct reports and associate-level team members
• •Strong experience in ML/AI/genAI methods and technologies from a Systems Engineering angle
• •Business relationship management acumen and demonstrable success as a change agent leading or contributing to significant transformational initiatives in organizations
• •Strong experience with software lifecycle methodologies, 21CFR Part 11 compliance, and GxP computer systems validation (CSV), ICH guidelines
• •Accomplished in building and development of people and teams, comfortable working with a broad cross section of people in direct and matrixed relationships
• •Proficient in various project management disciplines (i.e., Agile, Scrum, Kanban, Lean etc.)
• •Bachelor or above
• •Some travel expected as part of assigned duties

Desired Qualifications

• •Ability to manage multiple projects across different sub-functions in a global, geographically diverse environment
• •Building and sustaining teams in times of ambiguity
• •Adapt communication cadences and problem-solving skills to accommodate stakeholders, partners, and team members
• •Exercise diplomacy and effective influence to reach consensus
• •Build strong relationships
• •Deep end-to-end pharma / biotech domain knowledge
• •Technical expertise related to digital & technology systems, systems engineering, processes, data science, analytics, AI, & genAI
• •Designing, configuring, and deploying high-performance computing (HPC) clusters and containerized environments
• •Implementing modern system observability frameworks and robust data pipeline integration architectures
• •Acting as a deep technical subject matter expert who advises on and engineers foundational AI architecture and systems engineering patterns, including advanced RAG pipelines, agentic AI frameworks & multi-modal integration patterns
• •Acting as the primary point of contact and strategic bridge to Global Technology Solutions (Enterprise IT function)
• •Ensuring all business-specific systems align with Enterprise infrastructure, security, identity management, and cloud platform standards
• •Overseeing the engineering, architecting, and deployment strategies for platforms & systems, balancing on-prem, hybrid cloud, and multi-tenant SaaS environments
• •Architecting robust, low-latency API layers and data buses to bridge disparate third-party applications
• •Implementing modern observability frameworks, distributed tracing, and real-time telemetry across infrastructure and applications
• •Leading the design, configuration, and deployment of High-Performance Computing (HPC) clusters and containerized environments
• •Providing oversight for the engineering and maintenance of the underlying storage fabric, data lakes, and pipelines
• •Managing the systems engineering and product development lifecycle, codebase evolution, patch management, and automated deployments
• •Acting as the technical SME & overseeing the design of Retrieval-Augmented Generation (RAG) architecture
• •Engineering vector storage integrations, advanced chunking strategies, and semantic retrieval layers
• •Designing and implementing agentic AI system patterns, orchestrating multi-agent frameworks
• •Engineering pipelines capable of handling multi-modal AI inputs and outputs
• •Managing the technical change strategy for foundational infrastructure overhauls and cloud migrations
• •Driving organizational alignment around unified integration standards
• •Collaborating with Global Technology Solutions (Enterprise IT) in the technical implementation of secure, enterprise-grade AI proxy layers and gateways
• •Leading, mentoring, and managing a high-performing GRDTS team focused on Systems Engineering
• •Fostering a culture of innovation, accountability and drive professional development
• •Ensuring all systems and platforms adhere to relevant pharmaceutical industry regulations and internal security policies
• •Liaising with vendors, Enterprise IT partners, audit, and compliance to coordinate system implementation and change activities
• •Ensuring the team is trained in and embeds CSV, compliance, and health authority requirements into operational activities
• •Collaborating with R&D functions and teams on standards and best practices to attain business goals
• •Engaging with peers to define, sponsor, and execute continuous improvements
• •Acting as the primary liaison to global Enterprise IT, aligning R&D platforms with Enterprise cybersecurity, identity management, and cloud standards
• •Technically evaluating and stress-testing externally developed platforms, vendor solutions, and SaaS architectures
• •Engineering secure, unified integration layers that connect internal applications seamlessly with externally developed third-party platforms
• •Implementing real-time telemetry and monitoring across all internal and vendor-hosted applications
• •Scalability planning for cloud environments, high-performance computing, and emerging AI frameworks (e.g., enterprise RAG, secure AI gateways)
• •Driving adherence to unified architectural standards across internal teams and vendors while managing the reskilling roadmap for technical staff
• •A highly analytical approach to reviewing vendor codebases, architecture diagrams, APIs, and SLAs to separate marketing claims from true engineering readiness
• •The ability to navigate global Enterprise IT processes, translate core infrastructure constraints to the R&D team, and effectively negotiate exceptions for specialized scientific technical stacks
• •Viewing internal applications, cloud infrastructure, and external vendor platforms as a singular, cohesive, and scalable system
• •A security-first mindset committed to protecting Enterprise data and intellectual property across all internal and vendor-hosted environments
• •The ability to coach, upskill staff, and drive unified technical standards across groups
• •Providing decisive technical leadership during major platform upgrades, infrastructure overhauls, or critical system outages
• •Technical reference documentation detailing R&D systems and external vendor platforms
• •Formal architectural scorecards and technical risk assessments reviewing the scalability, code health, integration viability, and security posture of proposed third-party software
• •Reusable infrastructure configurations, standardized RAG pipeline templates, and multi-agent workflow frameworks engineered to rapidly accelerate and scale projects
• •A centralized, live monitoring infrastructure providing end-to-end health tracking and alert routing across all external systems and platforms
• •Formally negotiated architecture and compliance agreements co-authored with global Enterprise IT to approve R&D systems
• •Fosters Teamwork
• •Provides and Solicits Honest and Actionable Feedback
• •Self-Awareness
• •Acts Inclusively
• •Demonstrates Initiative
• •Entrepreneurial Mindset
• •Continuous Learning
• •Embraces Change
• •Results-Oriented
• •Analytical Thinking/Data Analysis
• •Financial Excellence
• •Communicates with Clarity