Senior Data & AI Analytics Leader — Enterprise Impact

RES

East Carleton

On-site

GBP 120,000 - 180,000

Full time

8 days ago
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Job summary

RES is accelerating its data, analytics and AI capabilities to empower decision-making across the business. The Senior Lead will own the delivery of scalable data and AI products, champion governance, and drive real-time insights for senior leaders.

You will lead global teams, partner with IT and business stakeholders, and shape the strategy for modern data platforms and responsible AI. The role combines hands-on analytics, architecture leadership and an emphasis on enterprise-scale data

Qualifications

  • Degree in data science, data analytics, or computer science.
  • Experience leading data/AI initiatives at scale across enterprise.
  • Proven ability to translate business problems into data-driven solutions.
  • Strong Python, SQL and data modelling skills.

Responsibilities

  • Own the delivery of analytics and AI products, ensuring scalable data platforms.
  • Lead and coach global teams; collaborate with IT, security and vendors.
  • Define target-state architecture for reporting, analytics and AI.
  • Develop semantic data models and governance for enterprise use of AI.
  • Apply ML/AI to business problems with rigorous validation for bias and reliability.
  • Lead UAT and business validation for analytics outputs and AI products.

Skills

Data leadership
Python
SQL
Power BI
Azure/Azure Fabric
LLMs / Generative AI
Stakeholder management
Data modelling

Education

Degree in data science / data analytics / computer science

Tools

Power Platform
Power Automate
SQL

Job description

RES is accelerating its data, analytics and AI capabilities to empower decision-making across the business. The Senior Lead will own the delivery of scalable data and AI products, champion governance, and drive real-time insights for senior leaders.

You will lead global teams, partner with IT and business stakeholders, and shape the strategy for modern data platforms and responsible AI. The role combines hands-on analytics, architecture leadership and an emphasis on enterprise-scale data

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