AI & Automation Analyst (Hybrid)

Residential Management Group

United States

Hybrid

USD 66,000 - 93,000

Full time

40 hours ago
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Benefits offered by this job

27 days holiday
Healthcare cashback plan
Study sponsorship
Pension and life assurance

Job summary

Places for People is seeking an AI Analyst to support the development of the AI roadmap by researching opportunities, analysing business needs and helping to build AI and automation solutions. You will gather requirements, create user stories and acceptance criteria, translating ideas into practical workflows and AI-enabled tools.

You will also assist with backlog management, solution delivery, testing, and continuous improvement, while ensuring governance, data privacy and responsible AI

Qualifications

  • Strong requirements gathering and documentation skills, including user stories and process mapping.
  • Experience with tools such as Jira, Confluence or similar.
  • Excellent communication and stakeholder management skills.

Responsibilities

  • Support the development of our AI roadmap by researching opportunities and analysing business needs.
  • Gather requirements, create user stories and acceptance criteria, and translate ideas into AI-enabled workflows and automations.
  • Support backlog management, solution delivery, testing and continuous improvement activities.
  • Ensure solutions align with governance, data privacy and responsible AI principles, producing documentation, progress updates and insights.

Skills

Requirements gathering
Documentation
Stakeholder management
Communication
Organisational skills
Jira
Confluence
Analytical thinking

Tools

Jira
Confluence

Job description

Places for People is seeking an AI Analyst to support the development of the AI roadmap by researching opportunities, analysing business needs and helping to build AI and automation solutions. You will gather requirements, create user stories and acceptance criteria, translating ideas into practical workflows and AI-enabled tools.

You will also assist with backlog management, solution delivery, testing, and continuous improvement, while ensuring governance, data privacy and responsible AI

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