Technical business analyst (ai) Work, Jobs in Canterbury (with Salaries)

Technical Business Analyst (AI)
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- Full-time
- AI
- Communication skills
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- Mentoring
- Organisational skills
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Technical Business Analyst (AI)

Goaco
Ebbsfleet

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Job details

Full-time | Fixed term contract

Qualifications

Procurement
Business analysis
AI
Communication skills

Full job description

Job Categories: Business Analyst

Job Type : Contract | Full Time

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.

Outside IR35 Contract – 3 months (January – March)

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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