At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
Business Analyst, AI
So, what’s the role all about?
NiCE is building SPARK, a new internal incubation team that turns great ideas from across CX International into working AI solutions, and then into enterprise-grade tools that roll out to colleagues around the world. Your idea. Our spark.
As Business Analyst in the SPARK team, you will be the bridge between the people who have the ideas and the architects and builders who make them real. You will shape raw ideas into clear, prioritised, buildable use cases, and make sure what we build solves the problem it was meant to solve.
This is a business analysis role with a technical edge. You come from a programming background, so you can read code, query data, test an API, and prototype a quick proof of concept, and you can still run a room full of non-technical stakeholders. You will work closely with the Project Manager, the AI Architects & Builders, and the Change Management & Evangelist.
How will you make an impact?
You will own the front end of the incubation pipeline, from the first conversation about an idea through to accepted, measurable outcomes, working hands-on with business teams, architects, and delivery colleagues across regions.
Discover and Shape Ideas
Run discovery sessions, interviews, and workshops with business teams to understand pain points, current processes, and the outcome they want
Turn ideas into clear use case briefs covering the problem statement, users, expected value, data needs, risks, and success measures
Assess and rank ideas against business value, feasibility, data readiness, effort, and risk, and give the team a clear recommendation on what to build next
Build lightweight business cases, including estimated time saved, quality gains, and cost or revenue impact for presentation to Management and AI steering committee
Define What Gets Built
Map as-is and to-be processes, and identify where an AI agent, an automation, or a human-in-the-loop step fits best
Write user stories, acceptance criteria, and edge cases that architects and builders can build from without guesswork
Specify expected AI behaviour: what the solution should do, what it should never do, when it hands over to a person, and how answers will be checked for quality
Prepare test scenarios and evaluation datasets with the builders to measure accuracy, reliability, and usefulness before launch
Update initiative register
Prototype and Validate
Use SQL, Python, or low-code tools to analyse process data, test assumptions, and build simple prototypes that prove an idea before engineering effort is committed
Review APIs and system documentation to confirm integration feasibility with enterprise platforms such as Salesforce, ServiceNow, Workday, and Microsoft 365
Gather early user feedback on prototypes and turn it into prioritised backlog items
Support Delivery and Adoption
Own and groom the product backlog, and take part in sprint planning, reviews, and retrospectives
Plan and run user acceptance testing with business users, and manage defects and feedback through to closure
Partner with the Change Management & Evangelist and the Support Helpdesk to turn user questions and feedback into clear improvements
Measure and Share Value
Capture baseline metrics before launch and track results afterwards, so every solution can show real impact
Understand the Software Development Lifecylse to review adoption, continuous business iteration and value realization.
Maintain the use case library, requirement templates, and playbooks that make the next idea faster to shape
Have you got what it takes?
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience
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