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4 дня назад

Senior Business Analyst (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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