Senior Technical Support Specialist

Job Summary

The AI Business Analyst plays a critical role in bridging business needs and AI-enabled solutions, ensuring that use cases are well-defined, feasible, and aligned to real business value. This role combines strong analytical capability with an understanding of AI/ML to shape, validate, and deliver impactful solutions.

Key Responsibilities

Key Responsibilities

• Translate business needs into clear, structured requirements for AI and analytics solutions (e.g., decision support, predictive models, recommendations, and GenAI copilots).

• Lead core business analysis activities, including requirements definition, gap analysis, process mapping, and supporting test design and execution.

• Define both functional and non-functional requirements for AI capabilities, including:

• Performance, accuracy, and reliability expectations

• Explainability and transparency requirements

• Auditability, logging, and traceability standards

• Assess feasibility, risks, and data readiness for AI/ML/GenAI use cases.

• Collaborate with data owners, stewards, and architects to identify required data sources, understand data lineage, and evaluate data constraints.

• Work closely with data scientists, engineers, and AI teams to define realistic test scenarios and acceptance criteria, including edge cases and thresholds for “good enough” performance.

• Shape and support experiments and pilots (e.g., MVPs, A/B testing) to validate AI use cases in a controlled and measurable way.

• Analyse the impact of AI solutions on business processes and roles, including identifying opportunities for automation vs. augmentation.

• Ensure AI use cases align with data privacy, security, and regulatory requirements (e.g., GDPR and sector-specific standards).

Skill Requirements

Required Skills & Experience

• Proven experience in identifying, analysing, prioritising, and validating business and user requirements for AI or data-driven solutions.

• Experience conducting options analysis, feasibility assessments, impact analysis, and value estimation to support business case development.

• Strong communication skills, with the ability to produce clear, engaging, and insightful reports and presentations.

• Ability to translate complex business problems into actionable insights for both technical and non-technical stakeholders.

• Strong stakeholder engagement skills, with experience working across business and technology teams.

Other Requirements

Desirable

• Experience within the Energy & Utilities sector.

• Familiarity with AI/ML concepts and lifecycle (e.g., model development, evaluation, deployment, and monitoring).