At a Glance
- Tasks: Analyse business processes and optimise enterprise systems with AI solutions.
- Company: Join Qualcomm, a leader in technology innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential in a global environment.
- Why this job: Make a real impact by enhancing business efficiency through cutting-edge AI technologies.
- Qualifications: 5+ years in IT with strong analytical skills and experience in enterprise applications.
The predicted salary is between 56700 - 69300 £ per year.
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.
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 enterprise systems and new capabilities.
- Cross-functional execution and influence: Lead collaboration with systems analysts, application owners, business partners and subject matter experts to document recommendations and drive improvements. Participate in project review sessions to communicate status, discuss complex issues and support prioritisation decisions. May lead cross-functional linked teams to address business or systems issues. Help manage priorities, deadlines and deliverables for assigned initiatives, ensuring work is aligned to business outcomes. Use strong communication, influence, cooperation and diplomacy to resolve challenges across teams and geographies.
Required Qualifications
- IT-relevant work experience with a Bachelor's degree.
- Experience analysing complex business problems and defining system-based solutions.
- Strong understanding of enterprise applications, business processes and automated systems.
- Ability to create functional and system specifications that meet business user requirements.
- Experience working with business stakeholders, technical teams and subject matter experts.
- Strong written and verbal communication skills, including the ability to explain complex topics to audiences with varying levels of technical knowledge.
- Ability to work independently with little supervision and exercise sound judgement on moderately complex or high-impact decisions.
Preferred Qualifications And Experience
- 2+ years of experience leading informal teams or cross-functional initiatives.
- Experience with enterprise platforms such as Oracle, Salesforce, ServiceNow, Workday, Databricks, enterprise data platforms or similar business systems.
- Experience in business process improvement, digital transformation, application adoption or value realisation.
- Experience identifying automation, AI or analytics opportunities within business processes.
- Understanding of generative AI, enterprise copilots, intelligent agents, workflow automation or AI-enabled productivity tools.
- Experience operating in a global organisation and collaborating with distributed delivery teams across multiple regions.
- Experience presenting recommendations, business cases or solution options to senior stakeholders.
Candidate Profile
- A technically credible systems analyst who is comfortable working directly with business teams.
- Curious about how business processes work and how technology can improve them.
- Able to move between strategic discussion, detailed process analysis and practical delivery follow-up.
- Comfortable influencing without formal authority across functions, regions and technical teams.
- Passionate about AI, but pragmatic about where AI adds real business value.
- Clear, structured and outcome-focused in communication and documentation.
References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfil the principal duties of the role and possesses the required competencies.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process.
Enterprise Systems Analyst & AI Enablement - Qualcomm, Cambridge, UK employer: Qualcomm
Qualcomm is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Cambridge. Employees benefit from a strong focus on professional growth, with opportunities to engage in cutting-edge AI projects and enterprise systems optimisation, all while being part of a diverse team that values inclusivity and creativity. The company's commitment to employee well-being and development makes it an ideal place for those seeking meaningful and rewarding careers in technology.
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We think this is how you could land Enterprise Systems Analyst & AI Enablement - Qualcomm, Cambridge, UK
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We think you need these skills to ace Enterprise Systems Analyst & AI Enablement - Qualcomm, Cambridge, UK
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Qualcomm.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Qualcomm and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Qualcomm
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Qualcomm uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.