At a Glance
- Tasks: Lead data & analytics growth, design transformative strategies, and engage with C-suite executives.
- Company: Dynamic consultancy focused on innovative data solutions and client success.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional development.
- Other info: Join a high-performing team and drive transformation across multiple industries.
- Why this job: Make a real impact in the data landscape while leading high-value projects.
- Qualifications: Proven consulting leadership, commercial acumen, and technical expertise in data architecture.
The predicted salary is between 72000 - 88000 £ per year.
Location: London - Hybrid 2 to 3 days a week
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
- Solution, Architecture and Pre-Sales: 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.
Commercial & Technical Lead – Data & Analytics employer: Nexify Infosystems
As a Data Engineer at our London office, you'll be part of a dynamic team that values innovation and collaboration, working just two days a week onsite. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and exposure to cutting-edge technologies in big data. Join us to make a meaningful impact while enjoying the unique advantages of working in one of the world's most vibrant cities.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial & Technical Lead – Data & Analytics
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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 Nexify Infosystems.
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We think you need these skills to ace Commercial & Technical Lead – Data & Analytics
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 Nexify Infosystems, 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 Nexify Infosystems. 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 Nexify Infosystems
✨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 Nexify Infosystems!
✨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.
