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Business Analyst AI


Job Location:

Manila - Philippines

Monthly Salary: Not provided by the employer
Experience Required: 4-5years
Posted: 31 October 2026 (2 days ago)
Application Deadline: 28 January 2027
Vacancies: 1 Vacancy

Job Summary

This is a remote position.

About the Role

We are looking for a commercially minded analytical and proactive Business Analyst who can understand how businesses operate identify operational inefficiencies and recognise opportunities where AI automation and technology can deliver meaningful improvements.

You will play an important role in our consulting and discovery process engaging with stakeholders to understand their business challenges analysing existing processes and translating findings into clear requirements and actionable recommendations.

Working alongside our AI engineering team you will help bridge the gap between business needs and technical implementation.

This is not simply a documentation or requirements-gathering position. We need someone who can think critically ask the right questions challenge existing processes and understand the underlying problems that technology should solve.

Key Responsibilities
1. Business Analysis & Discovery
  • Engage with business stakeholders to understand operational objectives challenges and pain points.

  • Lead discovery conversations stakeholder interviews and workshops to understand how different business functions operate.

  • Analyse current-state business processes workflows responsibilities and information flows.

  • Identify inefficiencies repetitive activities manual processes and operational bottlenecks.

  • Document business requirements findings dependencies and improvement opportunities.

  • Develop current-state and future-state process maps.

2. AI & Automation Opportunity Identification
  • Identify business processes and activities that could benefit from AI intelligent automation or workflow optimisation.

  • Investigate operational problems and determine where AI-driven solutions may provide practical business value.

  • Develop and document potential AI and automation use cases.

  • Assess opportunities based on business impact complexity feasibility and potential efficiency gains.

  • Work with technical specialists to translate business problems into potential technical solutions.

  • Support the prioritisation of automation opportunities and recommendations.

3. Requirements Analysis & Solution Definition
  • Translate business needs into clear business requirements functional requirements user stories and acceptance criteria.

  • Document business rules process dependencies and solution expectations.

  • Work collaboratively with AI engineers developers and technical specialists.

  • Communicate business context and requirements to technical teams.

  • Participate in solution reviews testing and user acceptance activities.

  • Validate proposed solutions against the original business requirements and intended outcomes.

4. Automation Map Consulting Support
  • Support Maintain Technologys structured Automation Map consulting methodology.

  • Analyse information collected through sponsor intake forms functional questionnaires and discovery sessions.

  • Consolidate findings across 12 business functions and approximately 60 process areas.

  • Identify recurring processes system dependencies manual tasks and potential automation opportunities.

  • Translate discovery findings into structured business analysis outputs and automation recommendations.

  • Support the preparation of client-facing documentation and Automation Map deliverables.

5. Process Improvement & Continuous Improvement
  • Identify opportunities to improve operational efficiency and business processes.

  • Evaluate existing workflows and recommend practical improvements.

  • Develop reusable business analysis frameworks templates and documentation.

  • Maintain accurate records of requirements assumptions findings and decisions.

  • Contribute to improving Maintains consulting methodology and delivery processes.



Requirements
  • Approximately 45 years of relevant professional experience in business analysis business process improvement technology consulting digital transformation or a closely related discipline.

  • Demonstrable experience conducting business discovery stakeholder interviews and requirements-gathering activities.

  • Strong understanding of business processes operational workflows and process improvement methodologies.

  • Experience identifying business problems and translating them into practical technology or process solutions.

  • Ability to document business requirements functional requirements user stories and process maps.

  • Strong stakeholder engagement communication and workshop facilitation skills.

  • Experience collaborating with developers technology teams consultants or implementation specialists.

  • Strong analytical thinking critical thinking and problem-solving capabilities.

  • Ability to communicate complex business problems and findings in a clear and structured manner.

  • Ability to work independently and manage deliverables in a remote working environment.

Preferred Skills & Experience
  • Exposure to Artificial Intelligence (AI) Generative AI and AI-powered business applications.

  • Experience identifying AI and automation opportunities within business processes.

  • Familiarity with workflow automation platforms such as n8n Make or Zapier.

  • Experience supporting ERP CRM or enterprise technology implementations.

  • Familiarity with business process modelling tools such as BPMN Microsoft Visio Lucidchart or equivalent.

  • Understanding of systems integration APIs and technology-driven business transformation.

  • Experience in consulting operational improvement or digital transformation engagements.

  • Experience working with Australian businesses or international stakeholders.



Benefits
  • 100% Remote Work: Work remotely from the Philippines while collaborating with an Australian technology consulting business.

  • Competitive Compensation: Attractive compensation based on experience capabilities and contribution.

  • Build & Own: Help establish and shape a growing business analysis and AI consulting capability.

  • Meaningful Business Impact: Work on real business problems and help organisations discover better ways of operating.

  • Direct Leadership Exposure: Collaborate closely with business leadership and technical specialists.

  • Cross-functional Collaboration: Work alongside AI engineers and contribute directly to solution development.

  • Opportunity to Grow: Develop your expertise at the intersection of business analysis AI automation and digital transformation.




Required Skills:

Required Skills & Experience Minimum 45 years of relevant professional experience in AI engineering automation engineering software development systems integration or a closely related technical discipline. Demonstrable experience designing developing and deploying AI-powered workflows and automation solutions in business environments. Practical experience integrating Large Language Models (LLMs) including OpenAI Claude Gemini or equivalent platforms into business applications and workflows. Experience building multi-step automation workflows involving AI models agents conditional logic data processing and system integrations. Strong understanding of REST APIs webhooks JSON and application integrations. Hands-on experience with automation platforms such as n8n Make Zapier or equivalent. Experience designing structured prompts AI agents and orchestrated workflows. Ability to extract process classify and structure information from documents and business data. Proven ability to independently design build test deploy troubleshoot and maintain technical solutions. Strong analytical problem-solving and solution-design capabilities. Ability to translate business requirements and operational challenges into practical technical solutions. Preferred Skills & Experience Python programming and scripting particularly for data processing integrations and document generation. Experience developing multi-agent AI architectures and agentic workflows. Familiarity with Retrieval-Augmented Generation (RAG) vector databases and AI-powered knowledge bases. Experience integrating AI solutions with CRM ERP Microsoft 365 Google Workspace or other enterprise applications. Experience with automated document processing extraction and generation. Understanding of workflow orchestration monitoring error handling and human-in-the-loop validation. Experience working on business process automation operational improvement or digital transformation projects. Experience deploying and maintaining AI solutions in production environments. Experience Expectations Candidates must have at least 45 years of relevant professional engineering software development systems integration or automation experience. They must also demonstrate practical experience implementing AI/LLM-powered solutions. The 45 years does not need to be exclusively in generative AI provided the candidate can demonstrate relevant hands-on AI implementation capability. We welcome candidates from traditional software engineering intelligent automation systems integration and emerging AI engineering backgrounds. Important: We are looking for an experienced technical builder who can design integrate and deploy practical AI-powered solutionsnot someone whose experience is limited to using AI tools writing prompts or experimenting with generative AI.