Senior Director, Analyst β€” AI-Driven Insights Leader

Senior Director, Analyst β€” AI-Driven Insights Leader

Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
Gartner

At a Glance

  • Tasks: Lead impactful research and provide AI-driven insights across North America and EMEA.
  • Company: Join Gartner, a leader in technology research and advisory.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic role with opportunities to engage clients at conferences and meetings.
  • Why this job: Shape the future of ITSM and influence global leaders with your expertise.
  • Qualifications: Deep ITSM knowledge, leadership experience, and strong communication skills.

The predicted salary is between 63000 - 77000 Β£ per year.

Gartner is seeking a Senior Director, Analyst in the BTI group to lead influential insights across North America and EMEA.

You will guide research, shape a research agenda, and engage clients through in-person and virtual meetings, conferences, and sales support visits.

The role requires deep ITSM expertise, leadership in large deployments (Service Now, BMC), and strong writing/presentation skills to influence clients and Gartner leaders globally.

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Senior Director, Analyst β€” AI-Driven Insights Leader employer: Gartner

Gartner is an exceptional employer, offering a dynamic hybrid work environment that fosters collaboration and innovation. With a strong commitment to employee growth, competitive compensation, and a culture of inclusivity, Gartner empowers its team members to excel in their careers while making impactful contributions to the technology landscape. Joining Gartner means being part of a forward-thinking organisation that values research excellence and strategic insight.

Gartner

Contact Details:

Gartner Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Director, Analyst β€” AI-Driven Insights Leader

✨Get Involved in Data Science Meetups

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We think you need these skills to ace Senior Director, Analyst β€” AI-Driven Insights Leader

ITSM Expertise
Leadership in Large Deployments
ServiceNow
BMC
Research Agenda Development
Client Engagement
Writing Skills

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 Gartner, 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 Gartner. 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 Gartner

✨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 Gartner!

✨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.