MLL Service Delivery Lead

(Machine Learning Lifecycle preferred from R&D / Manufacturing Labs)

Working model : Hybrid working 2 to 3 days in office location at Tampa FL

Own end-to-end delivery reliability and continuous improvement of IT services that enable R&D innovation across multiple MedTech business units. Ensure secure compliant and resilient operations across lab computing instrument workstations segmented/ICE networks and integrated IT/OT capabilities.

• Bachelor s in information technology Computer Science Engineering or related field; or equivalent experience.
• 5 years in IT service delivery/operations with hands-on supporting scientific/R&D/operational technology environment (instrument PCs controllers data systems) and ITIL aligned ITSM (ServiceNow Jira).
• Strong understanding of segmented/ICE networks firewalls and secure equipment connectivity in regulated settings.
• Proven leadership of multi vendor on site/remote teams with measurable SLA attainment and continual improvement.
• Clear concise communicator across operations quality and technical stakeholders; strong stakeholder management in fast paced settings.

• Cloud/virtualization exposure; knowledge of cybersecurity best practices; familiarity with R&D OT integrations; ITIL v3/v4 certification ISA-95/ NIST
• Experience with GxP/CSV or CSA frameworks (e.g. GAMP 5) audit support and data integrity practices.
• Familiarity with lab data systems (e.g. ELN/LIMS CDS) IoT integrations and monitoring in segmented networks.
• Machine Learning Lifecycle in R&D Labs

• Lead day-to-day IT service delivery for R&D labs working in collaboration with the site based BT and R&D leaders; incident request problem and change management via ITIL/ServiceNow with clear SLAs/OLAs and root-cause eradication and transparent communications to site leadership.
• Act as the site technologist. Translate R&D site strategies into practical secure solutions on the shop floor and in labs; advise on architectures platforms and patterns that accelerate throughput and quality. Understand and document the business goals(s) and how our technology can enable those outcomes
• Serve as domain expert for deployments involving firewalls ICE/segmented networks IT/OT integrations IoT enablement and equipment connectivity (instrument PCs controllers gateways). Document local site capabilities such as asset lists and locally managed applications working with the BT site leader
• Oversee core lab infrastructure (servers networks software baselines backups/DR) and coordinate patching hardening and vulnerability remediation for instrument workstations within regulated constraints. Support audits CAPAs deviations and change control.
• Partner with Lab Operations Quality Engineering Cybersecurity and vendors to translate lab needs into scalable secure solutions; manage vendor performance and on site activities.
• Drive continuous improvement and cost optimization (process simplification automation standardization) maintaining transparency through KPI dashboards and service reviews.
• Ensure compliance with GxP/data integrity expectations (e.g. GAMP 5 ALCOA) and support audits CAPAs deviations and change control for computerized systems.
• Coordinate site readiness for projects (lab moves new instruments integrations) including network segmentation (ISA-95 / NIST) connectivity and qualification/validation impact.
• Maintain cybersecurity and data-integrity expectations; support regulated operations (e.g. GxP) as applicable.
• Maintain robust knowledge articles and runbooks for repeatable high quality operations in MLL contexts.
• Champion reliability and value. Ensure each initiative ties to business outcomes safety quality service cost working closely with Operations Quality Engineering and Cybersecurity.