Posted: 16 June
The role
Job title: Staff AI Business Analyst
Duration: 6 months
Location: Cambridge
Office requirements: 2 days on site
Job Overview:
We are looking for a skilled and innovative Staff AI Business Analyst to become part of our Enterprise IT group. This position will guide business analysis efforts passionate about Artificial Intelligence (AI), Generative AI, Agentic AI, automation, and data-driven transformation projects that deliver quantifiable business impact throughout Arm.
Positioned where business, technology, data, and AI converge, you will engage with senior leaders, product teams, architects, AI engineers, data scientists, and delivery groups. Together, you will explore opportunities, specify business goals, and build AI-enabled solutions. You will play a key role in aligning AI features with business aims, maintaining strong governance, and focusing on user adoption and ethical AI use.
As a skilled participant in the Business Analysis community, you will promote advancements in analysis approaches for AI-supported delivery. You will support fellow Business Analysts and impact the manner in which business requirements, scenarios, and AI functions are described across the organisation.
Responsibilities:
Take charge of planning and directing business analysis tasks for various critical initiatives, addressing any competing priorities that emergeWork at pace in a high-performing environment, collaborating with top executives and C-suite to develop priorities, drive decisions, and deliver business outcomes.Own the business and functional requirements, working closely with technical team leads and senior level collaborators to prioritise and refine backlogs based off business roadmapsInvestigate business needs end-to-end, working with people around Arm to find efficient solutions and analysing the impact of changeWork alongside testers to ensure full coverage of testing scenarios and support change delivery through to releaseCollaborate with enterprise architects and technical leads to assist in the development of solution roadmapsKnowledge of ServiceNow ticketing, workflow, and service management processes, alongside experience analysing and improving HR/People processes and employee lifecycle journeys.Required Skills and Experience:
Extensive experience leading projects within complex business and AI transformation programmes, capable of independently delivering results.Identify business opportunities, assess the applicability of AI solutions, and translate strategic objectives into measurable business outcomes.Experience in defining business scenarios, user journeys, and acceptance criteria to support AI-enabled solution building, validation, and implementation.Ability to work closely with senior business partners, product managers, architects, and AI engineers, to develop solutions and encourage informed decision-making.Good understanding of Artificial Intelligence processes and concepts such as Generative AI, Large Language Models (LLMs), and Human-in-the-Loop.Experience defining AI-specific requirements, operational guardrails, governance controls, and business validation approaches that support scalable AI adoption.Knowledge of data governance, privacy, security, and Responsible AI principles, including the ability to identify and handle business risks associated.Superb communication, and facilitation skills, with demonstrable experience working effectively across executive, business, and technical audiences in complex organisational environments.Desired Skills and Experience:
Experience delivering AI, Generative AI, or automation initiatives within a large enterprise environment.Experience working with AI platforms and technologies such as Microsoft Copilot, OpenAI, Azure AI Services, Salesforce Agentforce, ServiceNow AI, or similar solutions.Familiarity with business architecture, capability modelling, and operating model development.Experience defining AI evaluation frameworks, timely testing approaches, or AI adoption metrics.BCS Business Analysis Diploma, CBAP, AAC (Agile Analysis Certification), or equivalent qualifications.Experience working within globally distributed teams and complex collaborator environments.,
