About Our Team
Digital 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 Role
The 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.
Responsibilities
- Partner with business and product teams to identify opportunities where AI agents, automation, and data unification can remove friction, reduce cost, or improve customer/employee experience
- Document current-state business processes and design future-state processes that incorporate Salesforce Agentforce agents, Data Cloud (Data 360), and MCP-based integrations
- Gather business requirements, high-level user stories, and acceptance criteria for AI agent workflows — including agent actions, guardrails, escalation paths, and human-in-the-loop checkpoints
- Assess data readiness for AI use cases (data quality, identity resolution, harmonisation) in partnership with data engineering teams supporting Data 360
- Plan and facilitate workshops to scope AI/agentic use cases, evaluate feasibility, and align stakeholders on priority and sequencing
- Work 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 integrations
- Maintain stakeholder expectations, communicate trade-offs of AI-driven solutions (accuracy, latency, cost, risk), and raise issues to project/product managers as needed
- Develop "trusted advisor" relationships with senior stakeholders through effective communication about AI capabilities, limitations, and responsible use
- Perform analysis on existing systems and processes to identify where AI/agentic solutions are technically and commercially viable versus where traditional automation is a better fit
- Track the evolving Agentforce, Data Cloud, and MCP/agentic-AI landscape, and translate relevant developments into concrete opportunities for the business
- Support change management and user adoption for AI-driven process changes, including documentation and enablement materials
Requirements
- Proven experience in process modelling (BPMN standard), eliciting business requirements, and translating them into clear user stories and acceptance criteria
- Hands-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 requirements
- Understanding of data architecture fundamentals (data unification, identity resolution, data quality) as they relate to grounding AI agents on trustworthy data
- Solid understanding of software development methodologies, platforms, and tools, including how AI/agentic components fit into standard SDLC
- Demonstrated ability to plan and facilitate small to medium-sized workshops, including cross-functional AI use-case discovery sessions
- Strong verbal and written communication skills, with the ability to translate complex AI/technical concepts for non-technical stakeholders and vice versa
- Hands-on experience working in agile environments using recognised delivery frameworks such as Agile, Scrum, and Kanban
- Experience performing the Business Analyst role across the full software development lifecycle
- Experience with Lead-to-Cash processes and Salesforce
- Exposure to data analytics and data-driven decision-making, and familiarity with tools such as Jira, Confluence, Slack, Microsoft Office, and Microsoft Teams
- A genuine curiosity about AI and a habit of continuous learning — this space moves fast, and the role requires staying current
- Exposure to Salesforce Einstein, Copilot Studio, or comparable generative AI platform features
- Basic SQL or Python skills for exploring data sets and validating AI/data outputs
- Awareness of responsible AI principles (bias, privacy, explainability, human oversight)
- Salesforce certifications (e.g., AI Associate, Agentforce Specialist) or equivalent demonstrated learning
Work in a Way That Works for You
We 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 Pattern
Working 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 Business
A 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 1-855-833-5120.
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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.
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Skills Required
- Experience with BPMN process modeling, business requirements elicitation, user stories, and acceptance criteria
- Hands-on Salesforce experience, including Sales Cloud or Service Cloud
- Working knowledge of or strong interest in Salesforce Agentforce and Data Cloud Data 360
- Familiarity with prompt engineering, retrieval-augmented generation, tool or function calling, and Model Context Protocol
- Understanding of data unification, identity resolution, and data quality fundamentals
- Understanding of software development methodologies, platforms, tools, and SDLC integration of AI components
- Experience planning and facilitating cross-functional workshops
- Strong verbal and written communication skills for technical and non-technical stakeholders
- Experience working in Agile, Scrum, or Kanban environments
- Business Analyst experience across the full software development lifecycle
- Experience with Lead-to-Cash processes and Salesforce
- Exposure to data analytics and data-driven decision-making
- Familiarity with Jira, Confluence, Slack, Microsoft Office, and Microsoft Teams
- Curiosity about AI and commitment to continuous learning
- Exposure to Salesforce Einstein, Copilot Studio, or comparable generative AI features
- Basic SQL or Python skills for data exploration and AI or data-output validation
- Awareness of responsible AI principles, including bias, privacy, explainability, and human oversight
- Salesforce certifications such as AI Associate or Agentforce Specialist, or equivalent learning
Elsevier Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Elsevier and has not been reviewed or approved by Elsevier.
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Leave & Time Off Breadth — Feedback suggests paid time off spans vacation, holidays, sick days, bereavement, military leave, and volunteer time. Family-related leave options are also emphasized as part of the package.
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Healthcare Strength — Feedback suggests medical, dental, vision, life insurance, wellness initiatives, and an EAP form a comprehensive health offering. Gym support and wellbeing hubs reinforce an ongoing health and wellness focus.
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Retirement Support — Feedback suggests retirement programs include a 401(k)/retirement plan and pension options, with long-term savings vehicles such as an employee stock purchase plan also available. These elements contribute to a sense of financial security beyond base pay.
Elsevier Insights
What We Do
Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, and deliver better care. Because informed decisions lead to better outcomes, Elsevier is a leader in information and analytics for customers across the global research and health ecosystems. Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems.








