SNOW

About the Role

This role leads Hardware Asset Management (HAM) and Software Asset Management (SAM) across GSK Technology. The role sets the enterprise practice, standards, controls, data-quality expectations, and delivery discipline required to maintain trusted asset and configuration information across a largely outsourced, multi-sourced ecosystem. It establishes clear accountabilities, governs adherence, and assures that internal teams and delivery partners maintain complete, accurate, and timely records throughout the lifecycle. Working through ServiceNow and integrated discovery, inventory, procurement, and supplier data sources, the role enables service operations, cyber security, change, incident, problem, resilience, and technology lifecycle decisions. It also drives proportionate automation and responsible AI-enabled productivity, with security, compliance, data quality, human review, and governance guardrails embedded by design.

Key Responsibilities

• Practice Leadership & Governance
• Define and maintain the enterprise IT Asset and Configuration Management practice covering HAM and SAM, aligned to GSK standards, regulatory requirements, and the Technology operating model.
• Input to policies, standards; set control objectives, lifecycle rules, data ownership, and RACI expectations; ensure accountabilities are clear across internal teams, strategic partners, managed service providers, and specialist suppliers.
• Hardware & Software Asset Management
• Establish reliable asset inventories, ownership, evidence, and compliance reporting, including alignment between asset records and related Configuration Items.
• For SAM, assure entitlement, deployment, and consumption data and support license compliance, audit, and optimization decisions.
• ServiceNow, Data & Integration
• Act as the senior functional authority for IT Asset and Configuration Management capabilities in ServiceNow, shaping requirements, backlog priorities, controls, data models, and acceptance criteria with the platform team.
• Govern integrations with discovery, endpoint, cloud, procurement, identity, security, and supplier data sources, including reconciliation, exception handling, and authoritative-source decisions.
• Define dashboards and management information that make control performance, risk, data quality, and remediation progress transparent.
• Automation, Responsible AI & Modern Engineering
• Partner with the Automation Acceleration team and relevant platform or engineering teams to identify and prioritize automation opportunities across discovery, normalization, reconciliation, attestation, exception triage, and reporting.
• Promote responsible use of AI-enabled analysis and productivity tools to identify anomalies and improve decision support, with approved data use, security, and compliance controls, explainability where appropriate, human review, and auditable outcomes.

Requirements & Tech Stack

• ServiceNow Platform
• Hardware Asset Management (HAM)
• Software Asset Management (SAM)
• CMDB
• Responsible AI

Qualifications

• Degree in IT, Computer Science, Engineering, Business Information Systems, or related field, or equivalent experience.
• ITIL Foundation required; ITIL Managing Professional, IT/Software Asset Management, or ServiceNow certification desirable.
• Asset-management certification desirable.

Job Experience

• Significant experience leading IT Asset and Software Asset or a related practice in a large, complex organisation.
• Proven experience setting or inputting to standards, controls, and governance for HAM and SAM, not just administering records.
• Experience assuring outcomes in outsourced and multi-sourced environments.
• Hands-on functional experience of ServiceNow HAM/SAM, integrations, and reporting.
• Understanding of CMDB CI classes and data models for effective leadership of HAM/SAM.
• Experience supporting software compliance/audits with Procurement, Commercial, and Finance stakeholders.
• Experience in a regulated global enterprise, ideally pharma, life sciences, or healthcare, including leading audit readiness and response.
• Balances control, compliance, data quality, and operational practicality.
• Strong governance design, policy writing, and process documentation capability.
• Analytical mindset, able to define metrics and prioritize remediation.
• Strong influencing skills, securing action from teams that don't report to the role.
• Commercial awareness to support licensing/asset decisions while owners retain contract/supplier accountability.
• Translates technical and licensing detail into clear risk and decision language for senior stakeholders.
• Makes proportionate, risk-based decisions across a federated technology estate.
• Committed to responsible automation and AI adoption with human oversight.