Senior Manager, Global Digital & Technology Systems Engineering

BeiGene

4d•$136,900 - $181,900

About The Position

The Senior Manager, Global Digital & Technology Systems Engineering is a hands-on technical delivery role within the Systems Engineering capability area, reporting to the Senior Director, Global Digital & Technology Systems Engineering. This role is responsible for executing assigned systems engineering activities across R&D systems, externally developed platforms, integrations, and foundational ML, AI, genAI patterns. The role translates defined technical standards, architecture direction, implementation plans, and operational expectations into reliable delivery across assigned systems and workstreams. The Senior Manager partners with Global Technology Solutions (Enterprise IT), vendors, R&D stakeholders, and GRDTS peers to ensure solutions align with enterprise infrastructure, cybersecurity, identity management, cloud, operational, and compliance standards. The Senior Manager contributes practical systems engineering expertise across hybrid cloud, SaaS, high-performance computing (HPC), containerized environments, data pipeline integration, platform observability, and emerging AI architecture patterns including Retrieval-Augmented Generation (RAG), secure AI gateway patterns, agentic workflow orchestration, and multi-modal integration patterns. The role focuses on delivery quality, documentation, issue resolution, operational readiness, and sustained technical supportability. A successful candidate brings strong technical execution skills, pharmaceutical / biotechnology domain awareness, disciplined delivery practices, and the ability to coordinate day-to-day work across business, vendor, Enterprise IT, and technical contributors. The Senior Manager is expected to raise risks and dependencies early, provide transparent execution updates, and help ensure assigned systems engineering work is scalable, secure, compliant, and fit for R&D scientific and business use. As ours is a growing team, candidates may be evaluated for other suitable levels.

Requirements

Hands-on programming experience with Python and SQL for automation, data pipeline integration, API testing, platform scripting, and technical troubleshooting.
Working knowledge of JavaScript / TypeScript for web application integration, workflow automation, and lightweight front-end or API-driven solution delivery.
Experience with scripting and automation using Bash, PowerShell, or equivalent tools for deployment support, environment configuration, log analysis, and operational runbooks.
Practical understanding of REST APIs, event-driven integration, JSON / XML data exchange, authentication patterns, and secure system-to-system connectivity.
Experience with cloud and platform engineering practices across AWS and/or Azure, including compute, storage, networking, identity, access controls, monitoring, and cost-aware resource usage.
Working knowledge of containers and orchestration technologies such as Docker and Kubernetes, plus infrastructure-as-code or configuration automation tools such as Terraform, CloudFormation, Ansible, or similar.
Familiarity with DevOps and release practices, including Git, branching strategies, pull request reviews, CI/CD pipelines, deployment documentation, automated testing inputs, and environment promotion controls.
Technical awareness of high-performance computing (HPC), Linux environments, job schedulers, storage layers, and workload patterns supporting compute-intensive scientific use cases.
Applied knowledge of ML / AI / genAI implementation patterns, including retrieval-augmented generation (RAG), embeddings, vector databases, semantic search, model integration, prompt / response controls, secure AI gateways, and agentic workflow orchestration.
Ability to implement observability and supportability practices using logs, metrics, traces, telemetry, alerting, dashboards, runbooks, and incident / problem management workflows.
Understanding of cybersecurity, identity and access management, data protection, intellectual property safeguards, vendor-hosted platform controls, GxP computer systems validation, and 21 CFR Part 11 expectations in regulated R&D environments.
Bachelor's degree or above
3+ years of professional experience in data, digital, information technology, AI, systems engineering, cloud, infrastructure, integration, platform engineering, or related technical delivery roles, preferably in Pharmaceutical, Biotechnology, and/or Medical Device industries.
Experience coordinating technical work across cross-functional, matrixed, vendor, Enterprise IT, or engineering teams through system design, implementation, supportability, and operationalization activities.
Practical experience with systems engineering for externally developed platforms, SaaS solutions, integration architectures, observability practices, cloud / hybrid infrastructure, and technical application lifecycle activities.
Hands-on experience with ML/AI/genAI end-to-end development & deployment from a systems engineering perspective, including RAG, vector stores, AI gateways, agentic workflows, and secure integration patterns.
Ability to partner with Enterprise IT, cybersecurity, infrastructure, cloud, identity management, compliance, audit, vendors, and R&D stakeholders to execute technically sound and compliant solutions.
Working knowledge of software lifecycle methodologies, GxP computer systems validation (CSV), 21 CFR Part 11 expectations, and pharmaceutical industry compliance considerations.
Strong communication, documentation, technical analysis, issue management, and stakeholder coordination skills, with the ability to translate technical details into clear decisions, risks, dependencies, and action plans.
Proficient in project and delivery practices such as Agile, Scrum, Kanban, Lean, release management, and operational readiness planning.

Nice To Haves

Familiarity with R for scientific, statistical, or analytics workflows is preferred; exposure to Java, C#, or similar enterprise application languages is a plus.

Responsibilities

Execute assigned tasks within the Enterprise IT engagement model, coordinating with Global Technology Solutions to align R&D solutions with infrastructure, cybersecurity, identity management, cloud platform, and operational standards.
Support technical design reviews, implementation dependency tracking, access / environment coordination, and issue resolution with Enterprise IT, vendors, and R&D stakeholders.
Document specialized R&D technical needs, constraints, risks, and exceptions for review by the Associate Director and Senior Director.
Manage assigned systems engineering activities across on-premises, hybrid cloud, vendor-hosted, and multi-tenant SaaS environments, applying standards established for the Systems Engineering capability area.
Develop and maintain technical documentation, integration designs, deployment plans, environment details, runbooks, and platform lifecycle artifacts for assigned systems or workstreams.
Coordinate secure data, digital, and technology integration activities that connect third-party platforms, internal systems, and scientific data flows across defined R&D processes.
Implement observability, telemetry, monitoring, alerting, and supportability practices for assigned systems to improve reliability, performance, and operational readiness.
Support configuration, deployment, validation readiness, and operational handoff activities for high-performance computing clusters, containerized environments, storage layers, data lakes, and pipelines supporting compute-heavy R&D use cases.
Track and execute technical lifecycle activities for assigned systems, including patch coordination, release preparation, codebase / configuration documentation, automated deployment inputs, and transition to steady-state support.
Implement assigned components of RAG architectures, vector store integrations, semantic retrieval layers, chunking strategies, and AI-enabled systems under the direction of the Associate Director and Senior Director.
Support reusable implementation patterns for agentic AI workflows, secure AI gateway integrations, multi-agent orchestration, and integration controls consistent with enterprise security and intellectual property protections.
Assist in engineering integration patterns that allow systems to ingest, process, and reason across diverse data types and multi-modal inputs and outputs while maintaining appropriate controls and compliance expectations.
Execute technical change activities for assigned infrastructure modernization, cloud migration, integration, and platform adoption workstreams in collaboration with Global Technology Solutions and R&D stakeholders.
Prepare and maintain technical impact assessments, adoption inputs, cutover checklists, support handoff materials, and release readiness documentation for leadership review.
Help teams apply consistent integration standards, system documentation practices, and operational readiness expectations across assigned technology workstreams.
Apply architecture, security, compliance, and operational controls for assigned systems, including data protection expectations, secure AI gateway patterns, sandboxing requirements, and vendor risk inputs.
Identify, document, and escalate technical risks, architectural constraints, support gaps, compliance considerations, and execution dependencies to the Associate Director and Senior Director.
Coordinate with audit, compliance, CSV, cybersecurity, Enterprise IT, and vendor partners to support applicable pharmaceutical industry, GxP, computer systems validation, and internal policy requirements.
Maintain disciplined use of engineering documentation, technical decision records, risk logs, implementation checklists, support artifacts, and operational handoff materials for assigned work.
Ensure assigned systems and platforms are implemented and operated in line with relevant pharmaceutical regulations, internal policies, security standards, and validation expectations.
Collaborate with R&D functional teams, Enterprise IT, vendors, and GRDTS peers to execute workstream objectives and improve delivery quality.
Provide clear status, issue, dependency, and decision updates to the Associate Director and Senior Director to support transparency and timely leadership action.
Coaches team members and partners on systems engineering practices, technical documentation, integration standards, observability, operational readiness, and compliance expectations.