At a Glance
- Tasks: Lead a dynamic team in Data & AI, driving sales and client engagement.
- Company: Join a market-leading firm focused on innovation and growth.
- Benefits: Competitive salary, leadership opportunities, and a chance to shape the future.
- Other info: Opportunity to influence C-level clients and drive strategic partnerships.
- Why this job: Make a real impact in a rapidly evolving Data & AI landscape.
- Qualifications: Proven leadership in consulting, strong sales skills, and expertise in Data & AI.
The predicted salary is between 90000 - 110000 Β£ per year.
This role is ideal for a leader who combines strong commercial drive with exceptional people leadership, and who is motivated to scale a competitive Data & AI capability in a dynamic and evolving market.
We are seeking a Region Practice Lead β Data & AI to drive profitable growth, market leadership, and team excellence across the UK. This is a senior leadership role with end-to-end accountability for sales performance, client impact, and team leadership. You will position the practice as a trusted advisor in Data, AI, and digital transformation, while scaling a high-performing, future-ready organisation. The role combines commercial ownership, executive client engagement, and leadership of a large multidisciplinary team, aligned with global strategy and focused on delivering sustained regional growth.
Key Responsibilities
- Sales Leadership & Market Growth (Primary Focus)
- Own regional sales performance, including pipeline growth, revenue, and overall practice contribution
- Lead strategic deal shaping and act as executive sponsor on priority pursuits
- Build and strengthen C-level client relationships, positioning the practice as a trusted strategic partner
- Translate global strategy into clear regional go-to-market priorities
- Team Leadership & Capability Growth (Primary Focus)
- Lead, inspire, and develop a large Data & AI team across architecture, delivery, and capability areas
- Define and execute a regional talent strategy (hiring, upskilling, workforce planning)
- Drive engagement, retention, and performance, fostering an inclusive and high-performing culture
- Solutioning, Delivery & Technical Leadership
- Ensure high-quality, competitive solutions across all engagements
- Oversee delivery of large-scale programmes, ensuring client satisfaction and delivery excellence
- Provide thought leadership across Data & AI domains
- Support complex pursuits with strong solution integrity and commercial alignment
- Strategic Partnerships & Innovation
- Strengthen partnerships with Microsoft, Databricks, Accenture, and key ecosystem players
- Identify and incubate new offerings and capabilities aligned to market trends
- Contribute regional insights to the global innovation and strategy agenda
Key Performance Indicators
- Sales & Revenue Growth
- Practice Profitability (Chargeability %)
- Team Engagement, Retention & Leadership Pipeline
- Utilisation & Skills Development
About You
You are a commercially driven leader with a passion for building high-performing teams and scaling Data & AI capabilities.
Key qualifications:
- Proven experience leading large consulting teams and growing regional practices
- Strong track record in sales leadership, deal shaping, and client growth
- Deep expertise in Data, AI, and cloud platforms, with the ability to guide solutioning
- Strong executive presence and stakeholder management skills
- Experience operating within a global matrix organisation, aligning local execution to global strategy
Why Join Us?
This is a key regional leadership role with the opportunity to:
- Shape the future of a market-leading Data & AI practice
- Influence strategic clients at C-level
- Build and lead a high-performing, future-ready team
- Drive innovation and growth in a rapidly evolving space.
Region Practice Lead β Data & AI (UK) in London employer: Avanade
Avanade is an excellent employer for those seeking to thrive in the dynamic field of cloud architecture. With a strong emphasis on innovation and client satisfaction, employees benefit from structured learning opportunities and a collaborative work culture that fosters personal development. Located in Greater London, Avanade offers a vibrant environment where skilled professionals can lead impactful projects and grow their careers in a diverse and supportive setting.
StudySmarter Expert Adviceπ€«
We think this is how you could land Region Practice Lead β Data & AI (UK) in London
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We think you need these skills to ace Region Practice Lead β Data & AI (UK) in London
Some tips for your application π«‘
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Donβt forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Avanade, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why youβre a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Avanade. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Avanade
β¨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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β¨Get Comfortable with Python and R
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β¨Prepare for Case Studies
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