4 дня назад
Senior Business Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Business Analyst (AI/Salesforce): Identifying and delivering AI innovation opportunities across Salesforce Agentforce, Data Cloud, and MCP-based integrations with an accent on process modelling, data readiness, and responsible agent workflow design. Focus on translating business needs into user stories, acceptance criteria, guardrails, and scalable AI-enabled processes.
Location: Oxford Nielsen House, United Kingdom
Company
provides information, analytics, data, and technology solutions supporting science, research, healthcare, education, and clinical practice.
What you will do
- Identify AI agent, automation, and data-unification opportunities across Salesforce and adjacent platforms.
- Document current-state processes and design future-state processes using Salesforce Agentforce, Data Cloud, and MCP-based integrations.
- Define business requirements, user stories, acceptance criteria, agent actions, guardrails, escalation paths, and human-in-the-loop checkpoints.
- Assess data quality, identity resolution, harmonisation, and readiness for AI use cases with data engineering teams.
- Facilitate cross-functional workshops, evaluate feasibility, and align stakeholders on priorities and sequencing.
- Support development, QA, change management, user adoption, documentation, and enablement for AI-driven process changes.
Requirements
- Experience with BPMN process modelling, 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 Agentforce and Data Cloud.
- Familiarity with prompt engineering, retrieval-augmented generation, tool or function calling, and Model Context Protocol.
- Understanding of data unification, identity resolution, data quality, software development methodologies, and the full software development lifecycle.
- Experience facilitating workshops and working in Agile, Scrum, or Kanban environments.
- Experience with Lead-to-Cash processes, data-driven decision-making, and tools such as Jira, Confluence, Slack, Microsoft Office, and Microsoft Teams.
Nice to have
- Exposure to Salesforce Einstein, Copilot Studio, or comparable generative AI features.
- Basic SQL or Python skills for exploring datasets and validating AI or data outputs.
- Awareness of responsible AI principles, including bias, privacy, explainability, and human oversight.
- Salesforce certifications such as AI Associate or Agentforce Specialist.
Culture & Benefits
- Flexible working hours to support individual productivity.
- Focus on work-life balance and employee wellbeing.
- Wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.
- Country-specific benefits and an accessible hiring process with accommodation support.
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