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Job Post Details

Technical Business Analyst (AI)
Goaco
Ebbsfleet
Permanent, Full-time

Job details

Pay information not provided
Permanent, Full-time
Ebbsfleet

Full job description

Job Categories: Business Analyst

Job Type : Full Time | Permanent

Job Location : Ebbsfleet, Kent, UK

Do you strive to make a difference? Goaco is looking to build a team to continue solving problems using software and technology for our clients. We are developers at heart – and by the mind too. We thrive on challenges and live for logical thinking. Formed over a decade ago, we have built on our successes, all of whom have benefitted from their level-headed software solutions. The team is all like-minded individuals, with a drive to succeed in their own fields.

ROLE OBJECTIVE

The Technical Business Analyst (AI) will bridge procurement domain needs, AI-enabled capability, and platform delivery. The role focuses on translating commercial and operational use cases into clear technical requirements, feasible delivery options, and evidence-based roadmaps, while ensuring alignment with governance, data constraints, and Responsible AI standards.

The role does not design or build AI systems, but enables informed decision-making on what should be built, how, and when.

KEY RESPONSIBILITIES

1. Use Case Analysis & Feasibility
  • Analyse AI use cases across the procurement lifecycle (e.g. GEARS, CDP, workflow automation).
  • Elicit and document functional and non-functional requirements.
  • Assess feasibility across:
    • data availability
    • technical constraints
    • governance and policy
    • user readiness
  • Support prioritisation and scoping decisions.
2. Requirements Definition
  • Translate business needs into:
    • structured requirements
    • interaction flows
    • data requirements
    • acceptance criteria
  • Define clear input/output expectations for AI-assisted workflows.
  • Identify dependencies, assumptions, and constraints early.
3. AI & Data Mapping
  • Work with architects and data specialists to:
    • map data sources
    • understand data quality and limitations
    • identify gaps and risks
  • Support creation of artefacts such as:
    • data opportunity maps
    • AI readiness assessments
    • prototype input/output schemas
4. Options & Roadmap Development
  • Support the development of technical options (e.g. COTS, hybrid, custom).
  • Assess trade-offs between:
    • feasibility
    • cost
    • complexity
    • reuse potential
  • Contribute to:
    • options roadmaps
    • sequencing plans
    • future-phase recommendations.
5. Stakeholder Engagement
  • Work closely with:
    • procurement SMEs
    • AI Working Group members
    • architects and engineers
  • Facilitate workshops and structured discussions.
  • Translate SME insight into actionable artefacts for delivery teams.
6. Governance & Assurance
  • Ensure requirements and options align with:
    • UK Government AI Playbook
    • Responsible AI principles
    • Procurement Act considerations
  • Support identification of:
    • risks
    • mitigations
    • audit and assurance needs
  • Contribute to evaluation and decision packs for senior stakeholders.
Key Deliverables
  • Use case analysis and feasibility assessments
  • Functional and non-functional requirements documentation
  • Data and AI readiness artefacts
  • Options and trade-off analyses
  • Inputs to AI roadmaps and delivery plans
  • Clear documentation to support governance and approvals
Skills & Experience
  • Strong experience as a Business Analyst on digital or platform programmes
  • Understanding of AI concepts (not necessarily model development)
  • Experience working with data-driven systems
  • Ability to assess technical feasibility and delivery options
  • Comfortable working with senior stakeholders and SMEs
  • Familiarity with public sector governance and delivery environments
  • Highly desirable: domain knowledge in procurement and grants .
Working Style
  • Evidence-led and analytical
  • Comfortable operating in ambiguity
  • Strong communicator between technical and non-technical audiences
  • Pragmatic, outcome-focused, and delivery-aware
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