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:
- 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:
- understand data quality and limitations
- identify gaps and risks
- Support creation of artefacts such as:
- data opportunity maps
- AI readiness assessments
4. Options & Roadmap Development
- Support the development of technical options (e.g. COTS, hybrid, custom).
- Assess trade-offs between:
- feasibility
- cost
- complexity
- Contribute to:
- options roadmaps
- future-phase recommendations.
5. Stakeholder Engagement
- Work closely with:
- 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
- Procurement Act considerations
- Support identification of:
- risks
- mitigations
- audit and assurance needs
- Contribute to evaluation and decision packs for senior stakeholders.
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
Strong communicator between technical and non-technical audiences
Pragmatic, outcome-focused, and delivery-aware
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