At a Glance
- Tasks: Lead data and analytics growth, design transformative AI strategies, and mentor a high-performing team.
- Company: Join a top-tier consultancy with a focus on innovation and client success.
- Benefits: Competitive salary, professional development, and opportunities to work with industry leaders.
- Other info: Dynamic role with excellent career advancement opportunities in a collaborative environment.
- Why this job: Make a real impact by shaping enterprise data strategies for diverse clients.
- Qualifications: Proven consulting leadership and deep domain expertise in financial services or telco.
The predicted salary is between 72000 - 88000 £ per year.
We are seeking a Commercial & Technical Lead – Data & Analytics to spearhead the growth of our Data & Analytics business. This is a pivotal, high-visibility role designed for a consulting leader who excels at bridging high-level commercial strategy with hands-on solution architecture. You will grow client relationships, lead complex high-value pitches, and design transformative, enterprise-scale data & AI strategies for a broad segment of enterprise clients across multiple industry sectors in the UK.
Key Responsibilities
- Business Growth & Commercial Leadership: Take lead in defining architecture (e.g., functional, technical), operating model, estimates, delivery approach for modern data and AI solution(s). Develop and leverage Partner ecosystem to drive stronger relationships, innovation and commercial value. Able to articulate ultimate client value via relevant offerings.
- Pitch & Win: Lead compelling end-to-end RFP responses, proactive business pipeline development, client pitches, and exec-level presentations to secure new business and expand existing accounts.
- Commercial Structuring: Define deal economics, high-margin delivery models, and pricing strategies for complex data solutions.
Technical & Advisory Strategy:
- Trusted C-Suite Advisor: Engage directly with CDOs, CIOs, CTOs, and CFOs to define target state architectures, enterprise data strategies, and modern analytics roadmaps.
- Solution Architecture: Provide high-level technical oversight across cloud data platforms (AWS, Azure, GCP), modern data stacks (e.g., Snowflake, Databricks), AI/ML integration, and governance frameworks.
- Transformation Execution: Guide clients through complex data maturity shifts, target operating model (TOM) designs, and regulatory compliance requirements.
Delivery Excellence & Team Leadership:
- Program Oversight: Act as the executive sponsor and delivery lead on complex, multi-disciplinary data transformation engagements.
- Team Scaling: Mentor, hire, and build a high-performing team of data architects, consultants, and strategists.
What We Are Looking For:
- Consulting Leadership: Proven track record in a senior lead or director-level role within a top-tier consultancy, Big 4, or specialized digital advisory practice.
- Commercial Acumen: Demonstrated success in pre-sales, pitching, deal structuring, and growing account revenue within the UK market.
- Domain Expertise: Deep domain knowledge in at least 2 - Financial Services, Telco, Lifescience and familiarity with sector-specific data regulations and business drivers.
- Technical Breadth: Strong foundational knowledge of enterprise data architecture, cloud platforms, data governance, business intelligence, and advanced analytics/AI.
- Executive Presence: Exceptional communication, workshop facilitation, and negotiation skills with a track record of influencing C-level executives.
Lead Data Engineer in London employer: Virtusa Europe
As a leading employer in the tech industry, we pride ourselves on fostering a collaborative and innovative work culture that empowers our ServiceNow HRSD Consultants to thrive. Our commitment to employee growth is evident through continuous training opportunities and a supportive environment that encourages professional development. Located in a vibrant city, we offer competitive benefits and a unique chance to work on impactful projects that shape the future of HR solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Virtusa Europe!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Engineer at Virtusa Europe.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Virtusa Europe.
✨Apply Directly through Our Website
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We think you need these skills to ace Lead Data Engineer in London
Some tips for your application 🫡
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. Don’t 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 Virtusa Europe, 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 you’re 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 Virtusa Europe. 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 Virtusa Europe
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Virtusa Europe!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
