Microsoft AI Copilot Lead

London
2 weeks ago
Create job alert

Microsoft AI Copilot Lead

Location: London / Remote

Job Summary:

We are seeking a visionary and experienced Microsoft AI Co-pilot Lead with a strong background in Microsoft Power Platform to spearhead our clients' AI initiatives. The ideal candidate will be responsible for building and leading the AI Co-pilot practice, driving the development and implementation of AI-driven solutions to transform business processes and deliver strategic value.

Key Responsibilities:

  • Build and Lead the Microsoft AI Co-pilot Practice: Establish and lead the AI Co-pilot practice within the organization, setting the vision, strategy, and roadmap for AI initiatives.

  • Strategic Planning: Develop and execute a comprehensive strategy for AI integration, aligning with business goals and driving digital transformation.

  • Team Leadership: Recruit, manage, and mentor a team of AI developers, data scientists, and other professionals, fostering a culture of innovation and collaboration.

  • Stakeholder Collaboration: Partner with cross-functional teams, including IT, operations, and business units, to identify opportunities for AI-driven improvements and ensure successful project delivery.

  • Solution Development: Oversee the design, development, and deployment of AI models and algorithms using Microsoft Power Platform (Power Apps, Power Automate, Power BI, Power Virtual Agents) and AI Copilot technologies.

  • Training and Support: Provide training and support to end-users, ensuring they can effectively utilize AI Co-pilot solutions and Power Platform tools.

  • Continuous Improvement: Stay updated with the latest advancements in AI, AI Co-pilot, and Power Platform, continuously improving solutions and processes.

  • Thought Leadership: Represent the organization as a thought leader in AI and AI Co-pilot, participating in industry events, conferences, and forums.

    Qualifications:

  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.

  • Experience: Minimum of 7 years of experience in AI development, with at least 3 years in a leadership role.

  • Technical Skills:

  • Proficiency in Microsoft Power Platform (Power Apps, Power Automate, Power BI, Power Virtual Agents).

  • Strong programming skills in languages such as Python, R, or JavaScript.

  • Experience with AI/ML frameworks like TensorFlow, PyTorch, or similar.

  • Knowledge of AI Co-pilot technologies and their applications.

  • Knowledge of data integration and ETL processes.

  • Soft Skills:

  • Excellent leadership and team management skills.

  • Strong problem-solving and analytical abilities.

  • Effective communication and interpersonal skills.

  • Ability to work in a fast-paced, dynamic environment.

    Preferred Qualifications:

    • Certifications: Microsoft Certified: Power Platform Fundamentals, AI-900: Microsoft Azure AI Fundamentals, or similar.

    • Experience: Previous experience in building and leading AI practices and digital transformation projects in a corporate setting.

      Benefits:

    • Competitive salary and performance-based bonuses.

    • Comprehensive health, dental, and vision insurance.

    • Opportunities for professional development and continuous learning.

    • Flexible work environment and remote work options.

      If you want to build and lead the Microsoft AI space, please apply now

Related Jobs

View all jobs

AI Trainer

AI Automation Analyst

Senior Data Analyst

SQL BI Developer / Analyst – Leading Nottingham client / Home

Data Scientist

AI & Advanced Analytics Consultant

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Data Engineering Degrees (2025 Guide

Discover ten of the strongest UK universities for Data Engineering degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the fuel of the digital economy, and turning raw records into reliable, analysis-ready information is the job of the data engineer. From building lake-house architectures to orchestrating near-real-time pipelines, demand for these skills is soaring across finance, retail, health-tech and government. The UK boasts several universities recognised internationally for large-scale data systems and scalable computing. Below we profile ten institutions whose undergraduate or postgraduate pathways major on data engineering. Tables shift each year, but these universities have a consistent record of excellence in teaching, research and industry collaboration.

How to Write a Winning Cover Letter for Data Science Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for data science jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the data science sector. When applying for a data science job, your cover letter is an essential part of your application. The data science field is highly competitive, with many candidates vying for the same roles. Your cover letter allows you to showcase your technical expertise, analytical skills, and your ability to apply data to solve real-world problems. It’s the perfect opportunity to demonstrate your passion for data and your understanding of how it can drive meaningful insights for an organisation. Whether you're new to data science, making a career switch, or looking to advance your skills, this article will guide you through a proven four-paragraph structure to craft a compelling cover letter. We’ll provide sample lines and tips to help you stand out in the highly competitive data science job market.

How to Write a Winning Cover Letter for Data Engineering Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for data engineering jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the data engineering sector. When applying for a data engineering job, your cover letter is a vital component of your application. The data engineering field is critical for organisations that rely on big data to make informed decisions, and a well-crafted cover letter will allow you to demonstrate your expertise in data management, data architecture, and data pipeline construction. Writing a cover letter for a data engineering role can seem challenging, but with the right structure, it becomes much easier to highlight your strengths. Whether you're just entering the field, transitioning from another role, or seeking to advance your career in data engineering, this article will walk you through a proven four-paragraph structure. We’ll provide sample lines and practical tips to help you create a cover letter that stands out from the competition in the data engineering job market.