Data & AI Systems Lead

Your Local Window Cleaning
Leeds, UK
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
ÂŁ40,000.0 - ÂŁ50,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Operational Data Store Power BI Standard Sql Powerquery GPT

Job description

We’re a fast-scaling, entrepreneurial business, and increasingly a tech business at heart. We’re looking for someone to own our data backbone (Power BI, dashboards, reporting) and use that as the launchpad to bring practical AI tooling into how we work.

This isn’t a “build a dashboard and move on” role, and it isn’t a “play with ChatGPT” role either. We need someone grounded enough in real data (sales, service, operations) to know what’s actually true, and curious enough about AI to spot where it can save time, cut cost, or sharpen decisions across the business. You’ll be the analytical engine behind leadership’s decisions, and increasingly the person who asks “could AI do this better?” and then goes and proves it.

What you’ll do

Data & reporting

  • Design, build, and maintain Power BI dashboards covering sales quality, data quality, and service quality metrics
  • Regularly audit dashboard outputs against source data to catch broken feeds, drift, or definitional inconsistencies between regions or teams
  • Flag anomalies and investigate them before they surface in a leadership meeting
  • Run ad hoc deep-dives when a metric looks off, going beyond the dashboard to find the root cause
  • Work with Finance’s MI function to keep metrics and definitions aligned across the business

AI & tooling

  • Identify practical opportunities to apply AI across the business, canvassing and sales, customer service, ops, recruitment, reporting, and build working solutions, not just proposals
  • Stay close to what’s genuinely useful in the fast-moving AI tooling landscape, and bring the team relevant, applicable ideas rather than hype
  • Prototype and implement AI-assisted workflows (e.g. automated customer communications, anomaly detection, churn signals) and own them once live
  • Train and support the wider team in using AI tools effectively where it helps their day-to-day work
  • Stay close to upstream changes (system migrations, new regions, process changes) that could affect data or break existing tooling

Requirements

Strong hands-on Power BI experience: data modelling, DAX, Power Query

  • Working SQL knowledge, comfortable going under the hood to interrogate a number rather than taking it at face value
  • Genuine hands-on experience building with AI tools, not just using them casually, but having shipped something (an automation, a workflow, an internal tool) that relied on them
  • A naturally sceptical, detail-oriented mindset, someone who kicks the tyres rather than just delivering what’s asked
  • Experience working with operational data (sales, service, or field operations data is a strong plus)
  • Confidence to challenge stakeholders, including senior leadership, when the data doesn’t support the narrative
  • Comfortable operating in a fast-moving, scaling business where processes and data sources change often

What success looks like

  • Dashboards that leadership trusts without needing to double-check
  • At least one AI-driven tool or workflow live in the business, saving real time or catching real problems
  • Issues caught and flagged before they become visible problems
  • A single, consistent view of “quality” that doesn’t conflict with Finance’s numbers
  • The wider team spending less time firefighting and more time acting on insight

Benefits & conditions

Pulled from the full job description

  • Free parking
  • Company pension
  • On-site parking, Company pension
  • Free parking
  • On-site parking

Pay: ÂŁ40,000.00-ÂŁ50,000.00 per year

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