Senior Business Analyst – AI InnovationAbout Our TeamDigital Business Solutions (DBS) delivers innovation and solves customer and business problems by leveraging the power of technology, data, and — increasingly — AI. Within DBS, the AI Innovation team focuses specifically on identifying and delivering agentic and generative AI capabilities across our Salesforce ecosystem and adjacent platforms. We partner with customers, authors, editors, and Elsevier colleagues to drive intelligent automation, frictionless personalised experiences, and streamlined processes that support cost optimisation and growth. We provide the expertise to understand business challenges and translate them into practical, responsible AI-enabled solutions.About the RoleThe Senior Business Analyst will work with business units and technology teams to identify, scope, and deliver AI innovation opportunities across our Salesforce platform landscape — including Salesforce Agentforce, Data Cloud (Data 360), and Model Context Protocol (MCP)-based integrations, as well as adjacent AI tooling. The role focuses on hunting for value opportunities for sales teams; understanding the data and process foundations required to ground AI agents; and defining requirements and functional specifications that bridge business needs with emerging AI capabilities.ResponsibilitiesPartner with business and product teams to identify opportunities where AI agents, automation, and data unification can remove friction, reduce cost, or improve customer/employee experienceDocument current-state business processes and design future-state processes that incorporate Salesforce Agentforce agents, Data Cloud (Data 360), and MCP-based integrationsGather business requirements, high-level user stories, and acceptance criteria for AI agent workflows — including agent actions, guardrails, escalation paths, and human-in-the-loop checkpointsAssess data readiness for AI use cases (data quality, identity resolution, harmonisation) in partnership with data engineering teams supporting Data 360Plan and facilitate workshops to scope AI/agentic use cases, evaluate feasibility, and align stakeholders on priority and sequencingWork with technology teams (Salesforce, data engineering, AI/ML engineers) to produce detailed user stories and acceptance criteria that support development and QA, including for Agentforce agent builds and MCP server/tool integrationsMaintain stakeholder expectations, communicate trade-offs of AI-driven solutions (accuracy, latency, cost, risk), and raise issues to project/product managers as neededDevelop "trusted advisor" relationships with senior stakeholders through effective communication about AI capabilities, limitations, and responsible usePerform analysis on existing systems and processes to identify where AI/agentic solutions are technically and commercially viable versus where traditional automation is a better fitTrack the evolving Agentforce, Data Cloud, and MCP/agentic-AI landscape, and translate relevant developments into concrete opportunities for the businessSupport change management and user adoption for AI-driven process changes, including documentation and enablement materialsRequirementsProven experience in process modelling (BPMN standard), eliciting business requirements, and translating them into clear user stories and acceptance criteriaHands-on experience with the Salesforce platform (Sales Cloud / Service Cloud); working knowledge of, or strong interest in, Salesforce Agentforce and Data Cloud (Data 360)Working familiarity with core AI/agentic concepts — prompt engineering, retrieval-augmented generation (RAG), tool/function calling, and Model Context Protocol (MCP) — sufficient to translate business needs into technical requirementsUnderstanding of data architecture fundamentals (data unification, identity resolution, data quality) as they relate to grounding AI agents on trustworthy dataSolid understanding of software development methodologies, platforms, and tools, including how AI/agentic components fit into standard SDLCDemonstrated ability to plan and facilitate small to medium-sized workshops, including cross-functional AI use-case discovery sessionsStrong verbal and written communication skills, with the ability to translate complex AI/technical concepts for non-technical stakeholders and vice versaHands-on experience working in agile environments using recognised delivery frameworks such as Agile, Scrum, and KanbanExperience performing the Business Analyst role across the full software development lifecycleExperience with Lead-to-Cash processes and SalesforceExposure to data analytics and data-driven decision-making, and familiarity with tools such as Jira, Confluence, Slack, Microsoft Office, and Microsoft TeamsA genuine curiosity about AI and a habit of continuous learning — this space moves fast, and the role requires staying currentNice to HaveExposure to Salesforce Einstein, Copilot Studio, or comparable generative AI platform featuresBasic SQL or Python skills for exploring data sets and validating AI/data outputsAwareness of responsible AI principles (bias, privacy, explainability, human oversight)Salesforce certifications (e.g., AI Associate, Agentforce Specialist) or equivalent demonstrated learningWork in a Way That Works for YouWe promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.Working PatternWorking flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.About the BusinessA global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.USA Job Seekers:EEO Know Your Rights.SummaryLocation: Oxford Nielsen House; London WallType: Full time
Senior Salesforce Business Analyst in London employer: Elsevier
At Elsevier, we pride ourselves on being an excellent employer, particularly for our Java Software Engineer role in Oxford. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth is evident through continuous learning opportunities and flexible working arrangements that promote a healthy work-life balance. Join us to be part of a team that values your contributions and supports your professional journey in the exciting field of scientific knowledge sharing.
