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- Tasks: Bridge tech and business to deliver innovative AIOps solutions.
- Company: Join CGI, a top-rated employer known for its inclusive culture.
- Benefits: Competitive salary, pension, private healthcare, and share scheme.
- Why this job: Make a real impact in IT operations with cutting-edge technology.
- Qualifications: Experience in IT Operations or DevOps, strong communication skills.
- Other info: Hybrid role with excellent career growth and training opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Join to apply for the Business Analyst – AIOps role at CGI.
Position Description: At CGI, we help clients achieve operational excellence by shaping the future of IT operations with intelligent, automated solutions. As a Business Analyst within our growing AIOps team, you will bridge technology and business, ensuring our clients harness observability, automation, and AI-driven insights at scale. You will engage stakeholders, drive roadmaps, and enable integration across complex tooling ecosystems to deliver solutions that empower proactive incident response and smarter decision-making. This role offers ownership of outcomes and opportunities to transform processes in a collaborative environment that values innovation.
CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK Best Employer by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching). We are committed to inclusivity and building a diverse community of tech talent, with recognition for supporting the Armed Forces Corporate Covenant. Join us to be part of an open, friendly community of experts. We’ll train and support you in growing your career.
Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to obtain it. This is a hybrid position.
Your future duties and responsibilities
In this role, you will act as the key liaison between technical teams, business units, and stakeholders, ensuring AIOps initiatives are well-defined, aligned, and delivered. You will translate complex operational and technical needs into actionable requirements, manage roadmaps, and support project delivery through effective governance and Agile practices.
You will work across a diverse ecosystem of observability, monitoring, and automation tools, identifying opportunities to improve incident response, data insights, and operational outcomes. With strong stakeholder engagement and project management, you’ll help shape strategies that drive innovation, reduce complexity, and deliver measurable value for our clients and their operations.
Key responsibilities
- Engage & Translate: Lead workshops, elicit requirements, and turn technical needs into clear deliverables.
- Drive & Deliver: Manage backlogs, dependencies, and project artefacts using Azure DevOps.
- Analyse & Align: Map tooling usage, identify integration opportunities, and define KPIs.
- Innovate & Improve: Support AI/ML-driven use cases such as anomaly detection and root cause analysis.
- Govern & Enable: Ensure alignment with enterprise standards, compliance, and change management processes.
- Collaborate & Influence: Build strong relationships across service lines, platform teams, and senior stakeholders.
Qualifications
- Required Qualifications To be successful, you should have proven experience as a Business Analyst in IT Operations, DevOps, or Platform Engineering, with strong stakeholder engagement and a track record of delivering complex initiatives. Hands-on knowledge of observability tools, Agile practices, and Azure DevOps is key, along with clear communication and change management.
- Proven Business Analysis experience in IT Operations, DevOps, SRE, or Platform Engineering
- Strong stakeholder engagement and communication skills
- Hands-on experience with Azure DevOps (backlogs, dashboards, Agile collaboration)
- Knowledge of observability/monitoring tools (e.g., Prometheus, Grafana, ELK, OpenTelemetry)
- Demonstrable Project Management Skills With Agile Delivery Experience Familiarity with AIOps concepts such as event correlation, anomaly detection, and predictive analytics.
Preferred qualifications
- Familiarity with ITSM platforms (e.g., ServiceNow, BMC)
- Understanding of cloud-native environments (AWS, Azure, Kubernetes)
- Experience with machine learning or analytics projects
- Project management or business analysis certifications (e.g., Prince2, PMP, CBAP)
- ITIL Foundation certification or equivalent
About CGI
Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging, with opportunities to grow your career and access global capabilities. We value your health and well-being and support ongoing development. Come join one of the largest IT and business consulting services firms in the world.
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Business Analyst - AIOps employer: CGI
Contact Detail:
CGI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst - AIOps
✨Tip Number 1
Network like a pro! Reach out to current employees at CGI or in the AIOps field on LinkedIn. Ask them about their experiences and any tips they might have for landing the role. Personal connections can make all the difference!
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of observability tools and Agile practices. Be ready to discuss how you've used these in past projects. Show us you can translate complex needs into actionable insights!
✨Tip Number 3
Practice your stakeholder engagement skills! Think of examples where you've successfully collaborated with different teams. We want to see how you can build strong relationships and drive innovation in a collaborative environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our friendly community at CGI.
We think you need these skills to ace Business Analyst - AIOps
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Business Analyst role. Highlight your experience with AIOps, Agile practices, and any relevant tools like Azure DevOps. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AIOps and how you can contribute to our team. Be sure to mention specific projects or experiences that showcase your stakeholder engagement skills.
Showcase Your Problem-Solving Skills: In your application, don’t just list your responsibilities; share examples of how you’ve tackled complex challenges in past roles. We love seeing how you’ve turned technical needs into actionable solutions!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at CGI
✨Know Your AIOps Inside Out
Make sure you understand the fundamentals of AIOps and how it integrates with IT operations. Brush up on observability tools like Prometheus and Grafana, as well as Azure DevOps. Being able to discuss these topics confidently will show your potential employer that you're ready to hit the ground running.
✨Engage Stakeholders Like a Pro
Prepare to demonstrate your stakeholder engagement skills. Think of examples where you've successfully led workshops or translated complex requirements into actionable tasks. This is crucial for the role, so have a few stories ready that highlight your ability to communicate effectively across teams.
✨Show Off Your Project Management Skills
Familiarise yourself with Agile practices and be ready to discuss how you've managed backlogs and dependencies in past projects. If you have experience with project management tools, especially Azure DevOps, make sure to mention it. This will help illustrate your capability to drive and deliver results.
✨Be Ready to Innovate
Think about how you've contributed to innovation in previous roles. Prepare to discuss any AI/ML-driven projects you've been involved in, particularly those related to anomaly detection or predictive analytics. Showing your passion for continuous improvement will resonate well with the interviewers.
