Enterprise Systems Analyst & AI Enablement - Qualcomm, Cambridge, UK
Qualcomm
- Location
- Cambridge, United Kingdom
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 22 approvals (FY2023)
- Posted
- Aug 20, 2026
Skills
About this role
Company: Qualcomm Technologies International Ltd Job Area: Information Technology Group, Information Technology Group > Systems Analysis General Summary: Qualcomm is seeking a Staff-level Systems Analyst to join the EMEA IT organisation in a business-facing, technically grounded role focused on enterprise systems, process optimisation and AI enablement. The role will help business teams maximise the value of Qualcomm enterprise applications by understanding how work is done today, identifying opportunities for improvement, and translating business needs into clear requirements and recommendations for global IT delivery teams. This is not a traditional application support role. It is a consultative technical role that combines enterprise systems analysis, business process understanding, AI opportunity identification and stakeholder influence across EMEA. Background: Qualcomm business teams rely on enterprise systems to execute critical processes across functions such as finance, sales, operations, HR, supply chain, engineering support and corporate services. As AI capabilities become embedded into enterprise applications and business workflows, IT needs strong regional business partners who can identify practical, value-driven use cases. EMEA requires a role that can understand regional business realities, ensure enterprise platforms are being used effectively, and represent business needs clearly to global application and delivery teams. The successful candidate will help bridge business intent, system capability, process adoption and technical execution. Minimum Qualifications: • 5+ years of IT-relevant work experience with a Bachelor's degree. OR 7+ years of IT-relevant work experience without a Bachelor’s degree. *Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of work experience.
Key Responsibilities
Enterprise systems analysis and optimisation Analyse complex business problems and identify how automated systems, enterprise applications and AI-enabled capabilities can help solve them. Assess existing business processes and system usage to identify opportunities for simplification, standardisation, automation and improved adoption. Provide technical expertise in evaluating, defining and improving systems and procedures that are cost effective and meet user requirements. Create and review functional and system specifications that translate business needs into actionable requirements for application owners and delivery teams. Support configuration analysis, user acceptance planning and validation of delivered changes where appropriate. AI enablement and business process innovation Identify opportunities to apply AI, generative AI, intelligent agents, workflow automation and enterprise data capabilities to improve business efficiency and decision-making. Partner with business stakeholders to define practical AI use cases, expected outcomes, adoption considerations and measurable value. Promote responsible and effective use of Qualcomm-approved AI capabilities within enterprise business processes. Help business teams understand where AI can augment existing enterprise applications and where AI-specific solutions may deliver new efficiency or insight. Represent business problems and AI opportunities to technical teams in a clear, structured and prioritised way. Business engagement and regional partnership Build trusted relationships with EMEA business leaders, functional teams and key users to understand priorities, pain points and operating models. Act as a regional IT advisor for enterprise business systems and AI-enabled process improvement opportunities. Facilitate workshops, discovery sessions and process reviews with business and technical stakeholders. Ensure EMEA business requirements are represented effectively to global IT delivery teams. Support change adoption by helping business teams understand, use and realise value from