Senior Director, Global Digital & Technology Systems Engineering

About the Role

The Senior Director, Global Digital & Technology Systems Engineering serves as the primary point of contact and strategic bridge to the Global Technology Solutions (Enterprise IT function), ensuring all business-specific systems align with Enterprise infrastructure, security, identity management, and cloud platform standards. This role owns the end-to-end remit for systems engineering for externally developed platforms & solutions, integration engineering, and technical application lifecycles across the organization.

A successful candidate is a dynamic leader with deep end-to-end pharma/biotech domain knowledge and technical expertise in digital & technology systems, systems engineering, data science, analytics, AI, and generative AI. The ideal candidate adapts communication styles to accommodate stakeholders, exercises diplomacy, and builds strong relationships while managing multiple projects in a global, geographically diverse environment.

Responsibilities

• Serve as the single point of contact and strategic bridge to Global Technology Solutions (Enterprise IT), ensuring R&D systems align with global infrastructure, cybersecurity, identity management, and cloud platform standards while advocating for specialized technical requirements.
• Oversee engineering, architecting, and deployment strategies for platforms & systems, balancing on-prem, hybrid cloud, and multi-tenant SaaS environments based on business needs.
• Architect robust, low-latency API layers and data buses to bridge disparate third-party applications, ensuring seamless data interoperability across the organizational pipeline.
• Implement modern observability frameworks, distributed tracing, and real-time telemetry to proactively manage system health, identify bottlenecks, and resolve failures.
• Lead the design, configuration, and deployment of High-Performance Computing (HPC) clusters and containerized environments optimized for compute-heavy, complex processing systems.
• Provide oversight for the engineering and maintenance of underlying storage fabric, data lakes, and pipelines managing the full ingest, storage, and processing lifecycle of datasets for Research.
• Manage systems engineering and product development lifecycle, codebase evolution, patch management, and automated deployments of customized platforms and applications.
• Act as a technical subject matter expert on Retrieval-Augmented Generation (RAG) architecture, engineering vector storage integrations, advanced chunking strategies, and semantic retrieval layers.
• Design and implement agentic AI system patterns, orchestrating multi-agent frameworks for secure, multi-step autonomous workflows.
• Engineer pipelines capable of handling multi-modal AI inputs and outputs, enabling systems to ingest, process, and reason across diverse data types.
• Manage technical change strategy for infrastructure overhauls and cloud migrations in collaboration with Global Technology Solutions (GTS).
• Drive organizational alignment around unified integration standards, guiding teams toward optimized technical architectures.
• Collaborate with Enterprise IT to implement secure, enterprise-grade AI proxy layers and gateways, ensuring proprietary data and intellectual property are sandboxed.
• Lead, mentor, and manage a high-performing GRDTS team focused on Systems Engineering, fostering a culture of innovation and accountability.
• Ensure all systems and platforms adhere to pharmaceutical industry regulations and internal security policies.
• Liaise with vendors, Enterprise IT partners, audit, and compliance teams to coordinate system implementation and change activities.
• Collaborate with R&D functions on standards and best practices to achieve business goals.

Requirements

• 12+ years of professional experience in data, digital & information technology with direct oversight in Systems Engineering within the Pharmaceutical, Biotechnology, and/or Medical Device industries.
• 7+ years of proven leadership experience at a senior level, directing multi-skilled teams.
• Strong experience in ML/AI/genAI methods and technologies from a Systems Engineering perspective.
• Business relationship management acumen and demonstrable success as a change agent in transformational initiatives.
• Strong experience with software lifecycle methodologies, 21 CFR Part 11 compliance, GxP computer systems validation (CSV), and ICH guidelines.
• Proficient in project management disciplines (e.g., Agile, Scrum, Kanban, Lean).
• Bachelor’s degree or higher.

Key Competencies

• Enterprise-to-R&D Infrastructure Bridging: Aligning R&D platforms with Enterprise cybersecurity, identity management, and cloud standards while advocating for specialized Research needs.
• External Platform Technical Assessment: Evaluating and stress-testing externally developed platforms, vendor solutions, and SaaS architectures for scalability, security, and integration readiness.
• Internal & Vendor Platform Integration: Engineering secure, unified integration layers connecting internal applications with third-party platforms.
• Full-Ecosystem Observability & Reliability: Implementing real-time telemetry and monitoring across all applications to maximize uptime and performance.
• Advanced Computer & AI Architecture Scaling: Scalability planning for cloud environments, HPC, and emerging AI frameworks (e.g., enterprise RAG, secure AI gateways).
• Technical Governance & Talent Upskilling: Driving adherence to unified architectural standards and managing reskilling roadmaps for technical staff.
• Objective Technical Due-Diligence: Analytical review of vendor codebases, architecture diagrams, APIs, and SLAs to assess engineering readiness.
• Enterprise & Domain Diplomatic Mindset: Navigating global Enterprise IT processes and translating infrastructure constraints to R&D teams.
• Ecosystem-Level System Thinking: Viewing internal applications, cloud infrastructure, and external vendor platforms as a cohesive, scalable system.
• Enterprise Risk & IP Stewardship: Security-first mindset protecting data and intellectual property across all environments.
• Transformational Change Leadership: Coaching, upskilling staff, and driving unified technical standards across groups.
• Resilient Crisis Management: Providing decisive technical leadership during major upgrades, infrastructure overhauls, or system outages.

Key Deliverables

• R&D Systems Blueprint: Technical reference documentation detailing R&D systems and external vendor platforms.
• Vendor Technical Assessment & Feasibility Reports: Architectural scorecards and technical risk assessments for proposed third-party software.
• Scalable AI/ML Architecture Patterns & Blueprints: Reusable infrastructure configurations, standardized RAG pipeline templates, and multi-agent workflow frameworks.
• Ecosystem Observability & Telemetry Views: Centralized, live monitoring infrastructure for end-to-end health tracking and alert routing.
• Cross-Functional Governance & Technical Alignment Agreements: Formally negotiated architecture and compliance agreements with global Enterprise IT.

Benefits

BeOne is committed to fair and equitable compensation practices.

Pay

Salary Range: $207,800.00 - $277,800.00 annually.

Schedule

• Some travel expected as part of assigned duties.