At a Glance
- Tasks: Lead large-scale Data & AI transformation projects and drive innovative solutions.
- Company: Dynamic tech firm focused on Data & AI with a collaborative culture.
- Benefits: Attractive salary, health perks, remote work options, and growth opportunities.
- Other info: Join a team of leaders and drive transformative change across key markets.
- Why this job: Shape the future of AI and make a significant impact in diverse industries.
- Qualifications: Experience in Data & AI with strong commercial and leadership skills.
The predicted salary is between 63000 - 77000 £ per year.
The AI Solutioning & GTM Leader for Data & AI service line is a senior, industry-facing commercial leader responsible for originating, shaping, solutioning and driving large-scale Data & AI transformation opportunities in Europe, Middle East and India, with key focus on large and complex AI deals, solutioning and delivery.
This role is accountable for building and converting a pipeline of $3–5M+ TCV opportunities, materially contributing to annual $30M+ in bookings, by driving Data & AI opportunity development, pursuit strategy, and deal shaping across key markets and accounts. Client Partners retain overall account ownership and commercial closure responsibility.
This role owns the development & progression of the specialist Data & AI opportunity space within the market/accounts, leading how opportunities are identified, framed, including the client problem, transformation agenda, value case, proposition and solution direction - and progressed into high-value, outcome-led transformation programs.
The focus is on driving platform-centric, enterprise-scale Data & AI programs that move beyond fragmented data initiatives and isolated AI pilots toward scalable, AI-ready data foundations that deliver measurable business impact.
The role operates as a leader among leaders in complex pursuits, working closely with Client Partners, Business Development, Practice Leaders, architects, and delivery teams to shape differentiated commercially viable, executable programs.
Role Profile Summary: This role is measured by its ability to drive top-line growth by owning and scaling Data & AI opportunities within the vertical. Success comes from combining Data & AI expertise, transformation thinking and strong commercial acumen to identify and develop opportunities, shape compelling propositions and solutions, building and progressing a high-quality pipeline, larger and more strategic deals, and ensuring those deals translate into executable, high-impact programs.
Proven track record of originating and shaping large ($3-5M+) consulting or transformation deals and opportunities in Data & AI or adjacent domains. Strong commercial acumen with the ability to build pipeline, shape deals, and drive conversion through Data & AI opportunities and transformation leadership. Senior industry or consulting experience with credibility at executive levels. Deep understanding of how Data & AI capabilities translate into business outcomes.
Ability to operate within account structures, owning development and progression domain opportunities while collaborating with Client Partners. Strong collaboration with Practice Leaders to ensure solutions are both compelling and deliverable. Excellent executive communication, storytelling, and negotiation skills.
Strong experience in business value delivery and ROI generation with advanced AI solutions across industries e.g. BFSI, Manufacturing, Travel, Telecom, Media, Gaming, Life Sciences. Strong practical understanding across the data and AI stack — platforms, governance, and AI/ML — sufficient to independently explore client problems, define transformation opportunities, establish solution direction and work credibly with technical teams.
Ability to articulate value cases spanning data modernization and AI adoption, showing a connected path from data investment to AI-driven outcomes. Ability to move between executive business conversations and technical discussions, translating client needs into transformation opportunities that are commercially compelling and technically credible.
Data & AI Strategist in London employer: Thoughtworks Inc.
At Thoughtworks, we pride ourselves on being an exceptional employer that fosters a collaborative and inclusive work culture. Our Technology Advisor Researchers benefit from a wealth of learning and development opportunities, supported by a community that values continuous growth and innovation. Located in a vibrant tech hub, you will have the chance to work with cutting-edge AI tools while tackling complex business challenges, all within a dynamic environment that encourages creativity and strategic thinking.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Strategist in London
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We think you need these skills to ace Data & AI Strategist 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!
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Craft a Tailored Cover Letter:For a full-time role at Thoughtworks Inc., 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 Thoughtworks Inc.. 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 Thoughtworks Inc.
✨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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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 Thoughtworks Inc.!
✨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.
