At a Glance
- Tasks: Lead research on data management solutions and provide actionable insights to clients.
- Company: Join Gartner, a leader in tech research with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
- Why this job: Make an impact by shaping the future of data management and AI technologies.
- Qualifications: 12+ years in data management with strong analytical and leadership skills.
The predicted salary is between 100000 - 150000 £ per year.
As a Senior Director Analyst, you will create Gartner research and analysis, communicate it to clients and support the sales force in new sales and client retention. Your research will provide insight, predictions and actionable advice to clients around data management solutions and platforms. In addition, you will need to understand and work with adjacent research areas and practices including analytics, AI, data science and ML.
Field of research you will work in:
- Best practices for selecting and managing data management systems with an emphasis on data lakehouses, data management platforms, multi‑modal databases, data warehouses, data lakes, and emerging database technologies like graph, vector and NoSQL.
- Best practices for evaluating and selecting tools across the data integration, data engineering, data catalogues/metadata management and data streaming markets.
- Good understanding of how modern data management environments need to be architected to future proof against new emerging and disruptive technologies. These architectures include the Data Fabric, the data mesh operating models, federated data management practices and the ability to create and manage data products.
- Exhibited knowledge on upcoming AI‑Ready data management capabilities and technologies including knowledge graphs, semantic enrichment, RAG architectures and integration frameworks to support AI models from data perspective including MCP, A2A etc.
What you’ll do:
- Impress with your understanding of best practices and inspire by detecting emerging next practices and trends in your field of research.
- Identify critical questions facing Gartner clients and crafting appropriate research methods to address them.
- Create and deliver high value presentations off the back of the body of research over time.
- Conduct research and produce innovative, thought‑leading, impactful, analytically‑deep, fact‑based research analysis.
- Assist the sales organization in selling and retention on any topic covered by the Analyst's team.
- Provide high quality and timely research peer review.
- Lead or participate in research community meetings to discuss research issues and collaborate effectively with peers.
- Support Sales organizations with Research Briefings, POC engagements and other Consulting SAS engagements for both clients and prospects of Gartner research.
What we expect:
Experience:- 12+ years of experience within the field of data management.
- Demonstrate significant applicable experience in the related industry discipline and deep knowledge of a particular market, role, or user strategies in any of the specific areas mentioned above.
- Proven experience in presenting to clients at events and conferences, performing workshops and briefings.
- Previously held a leadership role within business or technology field in data management practice areas.
- Deep understanding of both technology and industry to include the market, vendors, products and user strategies in specific areas.
- Bachelor's Degree and/or advanced professional qualification(s) in related field.
- Proven record of academic achievement at highest level.
- Master's Degree in related discipline is an advantage.
- Exceptional analytical skills; ability to apply conceptual models, recognizing patterns and drawing and defending your research positions and conclusions.
- Exceptional at influencing and at leadership skills.
- Very good story teller.
- Articulate and succinct communication skills; ability to explain complex ideas effectively.
- Strong writing skills.
- Very strong team‑working ethos.
- Strong project planning and management skills.
Sr Director Analyst - Data Management employer: Why Not Remote
Contact Detail:
Why Not Remote Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Director Analyst - Data Management
✨Tip Number 1
Network like a pro! Reach out to your connections in the data management field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your expertise! Prepare a portfolio of your research and presentations that highlight your analytical skills and insights into data management. This will not only impress potential employers but also give you confidence during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your storytelling and communication skills. Make sure you can clearly articulate complex ideas, as this is crucial for a Senior Director Analyst role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Sr Director Analyst - Data Management
Some tips for your application 🫡
Show Off Your Expertise: When you're writing your application, make sure to highlight your extensive experience in data management. We want to see how your background aligns with the role, so don’t hold back on showcasing your knowledge of data lakes, AI, and emerging technologies.
Craft a Compelling Narrative: We love a good story! Use your application to weave together your professional journey, focusing on key achievements and how they relate to the responsibilities of the Senior Director Analyst role. Make it engaging and memorable!
Tailor Your Application: Don’t just send a generic application. Take the time to tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. This shows us that you’re genuinely interested in the position and understand what we’re looking for.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Why Not Remote
✨Know Your Data Management Inside Out
Make sure you brush up on the latest trends and best practices in data management, especially around data lakehouses and emerging technologies like NoSQL. Being able to discuss these topics confidently will show your depth of knowledge and passion for the field.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems or evaluate case studies related to data management. Practise articulating your thought process and how you would approach these challenges, as this will demonstrate your analytical skills and strategic thinking.
✨Showcase Your Presentation Skills
Since you'll be communicating complex ideas to clients, prepare a mini-presentation on a relevant topic. This will not only highlight your storytelling ability but also give you a chance to practice explaining intricate concepts clearly and succinctly.
✨Engage with the Interviewers
Don’t just answer questions; engage in a dialogue. Ask insightful questions about their current research challenges or future directions in data management. This shows your interest in the role and helps you assess if the company aligns with your career goals.