AI / Data Business Analyst – Strategy, Problem Solving & Analytics | Global Truck

We are looking for an AI / Data Business Analyst to accelerate the practical use of AI, advanced analytics and intelligent automation across the T6 vehicle programme.

The role will turn complex market, customer, competitor, commercial and operational data into clear, evidence-based decisions, scenarios and actions , shortening the path from data to action.

Combining commercial judgement, structured problem-solving and hands-on AI capability, the specialist will support the T6 Director and cross-functional teams with clear insights, profit improvement opportunities and more efficient workflows .

This is a hands-on business role, not reporting or technology theory. Success means faster, clearer decisions, reduced delivery friction and measurable business outcomes .

Minimum Qualifications

- Bachelor's degree or equivalent professional experience in Business, Engineering, Economics, Finance, Computer Science, Data Analytics, Marketing or a related discipline.
- Strong practical understanding of Generative AI, AI assistants or agents, prompt/context design and AI-enabled analytical workflows.
- Advanced competence in Microsoft Excel and PowerPoint, including analytical modelling and executive-level visual storytelling.
- Strong written and verbal communication for senior-management audiences, with the ability to operate independently across competing priorities.

Preferred Qualifications

- Experience in automotive product development, programme management, product planning, strategy, finance, marketing, sales, research, defence or commercial operations.
- Hands-on experience developing AI agents, enterprise assistants, Generative AI solutions or automated business workflows.
- Experience with Microsoft 365 Copilot, Copilot agents, Ford-approved LLM platforms, Power BI, Power Automate or comparable tools.
- Experience with Six Sigma, Black Belt, human-centred design or comparable structured problem-solving methods and analytical dashboards.

What You'll Bring

Time to clarity / Delivery acceleration: Turn ambiguity and information overload into a decision-ready evidence position quickly, without hiding uncertainty and shorten the path from decision to execution.

Think strategically: Move from data to insight, recommendation, decision and action with a clear focus on business results

Build, not just use, AI: Create practical agents, workflows, decision tools and reusable methods.

Evidence discipline: Know what is verified, assumed, missing and what proof would reverse the recommendation.

Constructive challenge: Expose contradictions, weak dependencies and KPI conflicts without creating unproductive friction.