At a Glance
- Tasks: Lead research on AI services, produce impactful insights, and engage with C-level executives.
- Company: Join a globally recognised leader in technology and AI insights.
- Benefits: Competitive pay, hybrid work model, and access to world-class resources.
- Other info: Mentor junior analysts and enjoy continuous learning in a dynamic environment.
- Why this job: Shape the future of AI services and influence global enterprise strategies.
- Qualifications: 12+ years in market analysis, strong expertise in AI services, and excellent communication skills.
The predicted salary is between 70000 - 90000 £ per year.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Director Analyst - AI Services based in the United Kingdom. In this senior thought leadership role, you will shape global perspectives on the rapidly evolving AI services market, producing high-impact research, forecasts, and strategic insights that influence C‑level decision-making worldwide. You will analyze how artificial intelligence is transforming service delivery models, competitive dynamics, and enterprise buying behaviours across industries. Acting as a trusted advisor, you will engage directly with senior executives through presentations, briefings, and advisory interactions, translating complex market trends into clear, actionable guidance. This role requires a strong blend of analytical rigor, strategic foresight, and storytelling ability to produce “must-have” insights for global technology leaders. You will collaborate with a global team of analysts, contributing to a shared research agenda while also driving your own area of expertise. The environment is intellectually rigorous, fast‑paced, and highly influential, with direct impact on how organizations navigate AI‑driven transformation. This is a unique opportunity to shape the future of AI services at a global scale.
Accountabilities
- Lead research and analysis on the global AI services market, including market sizing, forecasting models, and competitive landscape evaluation.
- Produce high‑impact insights, reports, and thought leadership content that inform enterprise strategy and decision‑making.
- Engage directly with C‑level executives, product leaders, and industry stakeholders through briefings, presentations, and advisory sessions.
- Develop predictive models and frameworks to assess market dynamics, demand shifts, and emerging opportunities in AI services.
- Translate complex market data into clear, actionable recommendations for technology providers and enterprise clients.
- Contribute to Gartner’s research agenda by identifying new trends, refining methodologies, and shaping analytical frameworks.
- Deliver presentations at conferences, client events, and industry forums as a recognized subject matter expert.
- Collaborate with global analyst teams to ensure consistency, quality, and impact of published research.
- Support internal teams, including sales and research, by providing market insights and thought leadership input.
- Mentor junior analysts and contribute to the continuous improvement of research practices and knowledge sharing.
Requirements
- Bachelor’s degree required; advanced degree preferred in a relevant field (Business, Economics, Technology, or similar).
- 12+ years of experience in market analysis, consulting, research, or technology advisory roles.
- Strong expertise in AI services, enterprise technology markets, or related digital transformation domains.
- Proven experience in market sizing, forecasting, and advanced quantitative and qualitative analysis.
- Exceptional analytical and critical thinking skills with the ability to interpret complex data sets.
- Strong executive presence with proven ability to engage and influence senior stakeholders (C‑level and VP‑level).
- Excellent written and verbal communication skills, including experience producing high‑quality research or thought leadership content.
- Demonstrated ability to present at industry conferences or client‑facing executive forums.
- Strong business and financial acumen with an understanding of global technology market dynamics.
- Ability to work independently in a global, matrixed environment while collaborating effectively across teams.
- Willingness to travel up to 25% as required.
Benefits
- Competitive compensation with strong performance‑based rewards.
- Hybrid and flexible working model supporting work‑life balance.
- Access to world‑class research resources, data, and global expert networks.
- Opportunity to influence global AI strategy and enterprise transformation decisions.
- Continuous learning, career development, and leadership growth opportunities.
- Inclusive, high‑performance culture with global collaboration.
- Exposure to executive‑level engagements and major industry events.
- Work within a globally recognized leader in technology and AI insights.
Senior Director Analyst - AI Services employer: Jobgether
As a Senior Director Analyst - AI Services, you will join a globally recognised leader in technology and AI insights, where your expertise will directly influence enterprise transformation decisions. The company fosters an inclusive, high-performance culture that prioritises continuous learning and career development, offering competitive compensation and a flexible working model to support work-life balance. With access to world-class research resources and the opportunity to engage with C-level executives, this role provides a unique platform for shaping the future of AI services on a global scale.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Director Analyst - AI Services
✨Get Involved in Data Science Meetups
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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 Jobgether.
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We think you need these skills to ace Senior Director Analyst - AI Services
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 Jobgether, 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 Jobgether. 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 Jobgether
✨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 Jobgether!
✨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.
