Business Analyst/Project Manager - AI

Vertus Partners; Manchester; Hybrid; GBP 55,000 - 90,000; Full time

Benefits offered by this job

Hybrid work arrangement

Ownership of governance

Job summary

Vertus Partners is seeking a Business Analyst/Project Manager to shape how information is organised, governed and used across a major AI-enabled transformation programme. You will operate at the intersection of knowledge management, business analysis and AI adoption.

You will work with senior stakeholders to improve data quality, discoverability and the effectiveness of enterprise data, while helping assess and optimise AI-driven user experiences.

Qualifications

• Strong background in delivering enterprise transformation projects with BA and PM skillsets.
• Experience designing user/customer journeys and rolling out new product features.
• Ability to engage senior stakeholders and translate business requirements into practical solutions.
• Experience assessing data, content quality or knowledge assets within complex organisations.
• Exposure to AI, enterprise search, knowledge retrieval or digital transformation initiatives.
• Familiarity with UAT, evaluation frameworks or user-focused assessment methodologies.

Responsibilities

• Reviewing and onboarding information sources that support AI, search and knowledge-driven services.
• Developing taxonomy, classification and information architecture frameworks for knowledge assets.
• Collaborating with stakeholders to understand requirements and improve knowledge discovery and retrieval capabilities.
• Identifying content gaps, duplication and quality issues across knowledge assets and driving remediation.
• Leading evaluation and user testing activities to assess AI-powered solutions and user outcomes.
• Producing insights and recommendations that improve knowledge quality and AI performance.

Skills

Business analysis

Project management

Stakeholder engagement

Data quality assessment

AI familiarity

User journey design

Job description

AI Adoption | Enterprise Delivery | Business Analysis | Information Architecture | Metadata

The Role

We're looking for a Business Analyst/Project Manager to help shape how information is organised, governed and used across a major AI-enabled transformation programme.

This role sits at the intersection of knowledge management, business analysis and AI adoption. You'll work with stakeholders across the business to improve the quality, discoverability and effectiveness of enterprise data, while helping assess and optimise AI-driven user experiences.

What You Will Be Doing

• Reviewing and onboarding information sources that support AI, search and knowledge-driven services.
• Developing taxonomy, classification and information architecture frameworks that make business knowledge easier to find and use.
• Working with stakeholders to understand requirements and improve knowledge discovery and retrieval capabilities.
• Identifying content gaps, duplication and quality issues across knowledge assets, then driving remediation activities.
• Leading evaluation and user testing activities to assess the effectiveness of AI-powered solutions and user outcomes.
• Producing insights and recommendations that improve knowledge quality, user adoption and AI performance.

What You Bring

• A strong background in the delivery of enterprise transformation projects, bringing Business Analyst and Project Management skillsets.
• Experience in the design of user/customer journeys and rolling out of new product features.
• The ability to engage senior stakeholders and translate business requirements into practical solutions.
• Experience assessing data, content quality or knowledge assets within complex organisations.
• Exposure to AI, enterprise search, knowledge retrieval or digital transformation initiatives.
• Familiarity with UAT, evaluation frameworks or user-focused assessment methodologies.

The Package

• Hybrid working arrangement.
• Opportunity to influence a large-scale AI and knowledge transformation programme.
• Broad stakeholder exposure across technology and business teams.
• Significant ownership in shaping governance, adoption and knowledge quality practices.