Senior Manager, Global Digital & Technology Systems Engineering

Accountabilities • Execute assigned systems engineering activities across on-premises, hybrid cloud, vendor-hosted, and multi-tenant SaaS environments in alignment with established architecture and engineering standards.

• Partner with Enterprise IT, cybersecurity, infrastructure, identity, cloud, vendors, and R&D stakeholders to coordinate technical designs, dependencies, environments, access, implementations, and issue resolution.

• Develop and maintain technical documentation, integration designs, deployment plans, environment specifications, runbooks, technical decision records, and platform lifecycle artifacts.

• Coordinate secure integrations connecting third-party platforms, internal applications, scientific workflows, data pipelines, and other R&D technology environments.

• Implement observability and supportability capabilities, including monitoring, telemetry, dashboards, alerting, runbooks, and incident-management processes.

• Support the configuration, deployment, validation readiness, and operational handoff of HPC clusters, containerized environments, storage platforms, data lakes, and pipelines supporting compute-intensive scientific workloads.

• Manage technical lifecycle activities including patch coordination, release preparation, configuration documentation, automated deployment inputs, and transition to steady-state operations.

• Implement approved AI and machine-learning architecture patterns, including RAG pipelines, vector stores, semantic retrieval, embeddings, secure AI gateways, multi-agent orchestration, and multimodal integrations.

• Support infrastructure modernization, cloud migration, integration, and platform-adoption initiatives, including technical impact assessments, cutover plans, release-readiness materials, and support handoffs.

• Apply security, architecture, compliance, data protection, intellectual property, and operational controls to assigned systems and platforms.

• Coordinate with audit, compliance, computer systems validation, cybersecurity, Enterprise IT, and vendor teams to support applicable pharmaceutical, GxP, and internal requirements.

• Identify and escalate technical risks, dependencies, architectural constraints, support gaps, and compliance considerations while providing transparent status and decision updates to leadership.

• Provide day-to-day technical coordination across project contributors, vendor resources, and matrixed teams without direct people-management responsibility.

• Coach colleagues and partners on systems engineering, documentation, integration standards, observability, operational readiness, and compliance practices.

Requirements

• Bachelor’s degree or higher in a relevant technical discipline.

• 7+ years of professional experience in systems engineering, cloud, infrastructure, digital technology, AI, data, integration, platform engineering, or a related technical delivery field; pharmaceutical, biotechnology, or medical-device experience is preferred.

• Demonstrated experience coordinating complex technical work across cross-functional, matrixed, vendor, Enterprise IT, and engineering teams.

• Hands-on experience with externally developed platforms, SaaS solutions, integration architectures, cloud or hybrid infrastructure, observability, and application lifecycle management.

• Strong programming experience with Python and SQL for automation, data integration, API testing, scripting, and technical troubleshooting.

• Working knowledge of JavaScript/TypeScript and scripting technologies such as Bash or PowerShell.

• Practical understanding of REST APIs, event-driven integrations, JSON/XML data exchange, authentication, and secure system-to-system connectivity.

• Experience with AWS and/or Azure cloud environments, including compute, storage, networking, identity, access controls, monitoring, and resource management.

• Familiarity with Docker, Kubernetes, and infrastructure-as-code or configuration-management tools such as Terraform, CloudFormation, or Ansible.

• Experience with Git, CI/CD pipelines, branching strategies, code reviews, automated testing, release management, and environment-promotion practices.

• Technical understanding of HPC, Linux environments, job schedulers, storage layers, and compute-intensive scientific workloads.

• Hands-on exposure to ML, AI, and generative AI implementation and deployment patterns, including RAG, embeddings, vector databases, semantic search, model integration, secure AI gateways, and agentic workflows.

• Ability to implement observability using logs, metrics, traces, telemetry, alerting, dashboards, runbooks, and incident/problem-management processes.

• Understanding of cybersecurity, identity and access management, data protection, intellectual property safeguards, vendor-platform controls, GxP computer systems validation, and 21 CFR Part 11 expectations.

• Experience applying software lifecycle methodologies and delivery practices such as Agile, Scrum, Kanban, Lean, release management, and operational-readiness planning.

• Strong technical analysis, documentation, communication, issue-management, and stakeholder-coordination skills, with the ability to translate technical information into clear risks, decisions, dependencies, and action plans.

• Ability to work effectively with Enterprise IT, cybersecurity, infrastructure, cloud, identity, compliance, audit, vendors, and R&D stakeholders.

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

• Some travel may be required as part of assigned responsibilities.

Benefits

• Base salary range of $136,900–$181,900 annually , with actual compensation determined by relevant qualifications, experience, skills, education, location, and organizational needs.

• Eligibility for an annual bonus program for qualifying non-commercial roles.

• Opportunity for discretionary equity awards and participation in an employee stock purchase plan.

• Medical, dental, and vision coverage.

• 401(k) retirement plan.

• Flexible spending and/or health savings account options.

• Life insurance.

• Paid time off.

• Wellness benefits and resources.

• Remote work opportunity within the United States.

• Opportunities to work with modern cloud, AI, data, HPC, and digital technologies in a regulated R&D environment.

• Exposure to global technology initiatives and cross-functional collaboration across scientific, business, and technology teams.

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