At a Glance
- Tasks: Lead AI software development projects and provide expert insights to global clients.
- Company: Join Gartner, a leader in business and technology insights with a collaborative culture.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in the fast-paced world of AI and emerging technologies.
- Qualifications: 12+ years in AI software development and strong leadership skills required.
- Other info: Be part of a diverse team driving innovation across industries.
The predicted salary is between 43200 - 72000 £ per year.
What makes Gartner Business and Technology Insights a GREAT fit for you? When you join Gartner, you’ll be part of a team that values curiosity, expert insights, bold ideas, and intellectual courage, while driving partnerships with global organizations to make the right decisions on their key initiatives. Through constant learning, discovery, innovation, and collaboration, you’ll not only help clients accomplish their mission-critical priorities but also grow your career and the scope of your impact across industries. Our culture demands dedication— and rewards it with opportunity. If you’re always looking for what’s next in business and technology, Gartner is looking for you.
As a Gartner Analyst, you will create and advise on a portfolio of Gartner research, communicate it to clients and support sales in new sales and client retention by demonstrating expert knowledge in this subject area with potential clients. Your research portfolio will provide insight, predictions and actionable advice to clients around emerging technology and trends and AI software engineering.
As part of Gartner's Sales Business, Technology and Insight practice, you’ll join Gartner’s growing Emerging Technology and Trends (ETT) Practice. This group is dedicated to discovering the bleeding edge of technology innovation and advising strategy and innovation leaders on investment and monetization strategies.
What you will do:
- Investigate, analyze, write, present, and advise on critical Artificial Intelligence (AI) Software Development innovations and issues facing senior executives in global high technology provider organizations and industry adopters.
- Create innovative, thought-leading, and highly leveraged written research offering compelling, objective, and actionable advice for Gartner clients.
- Participate in Gartner’s ETT research methodology, including case-based research by speaking with senior executives, academics, industry experts, and venture capitalists.
- Work with a team of ETT experts to classify and code key emerging trends, barriers, and accelerators to adoption.
- Provide sales and business development support, serving as the voice of AI enabled SW development.
- Respond to client inquiries, providing individualized advice specific to a client role in a high tech provider or adopter context via video conferencing.
- Create and deliver presentation materials for Gartner events, industry and professional association conferences, and client briefings via video conferencing or in-person.
Who you are:
- Lead a product or engineering team to build and bring AI enabled software development tools to market.
- Experience ensuring success and overcoming obstacles of design, development, deployment and scaling of AI enabled software development tools across multiple industries and geographies.
- Have lead edge AI software engineering and development approaches and techniques such as: AI coding assistants, Vibe Coding, AI enabled spec driven design, software defined life cycle (SDLC), DevOps, and security.
- AI related digital technology foundations such as: AI Ops, AI Governance, Generative AI, Foundation Models, advanced Simulation techniques, Synthetic Data, and so forth.
- Have presented to senior audiences and conferences, communicating vision AND benefits and relevance of an AI enabled SW development approach and product portfolio.
- Experience with leading edge and emerging AI software development pipelines and approaches: Architecture, application, productization, or business models across business, academia, R&D, or government.
- Building the future of AI enabled software development: Perspectives on next steps beyond GenAI coding and SLDC and the main opportunities AI native software development can offer enterprises.
What you will need:
- 12+ years of relevant field or industry experience.
- Bachelor's degree or equivalent experience; Graduate degree preferred.
- Strategic thought leadership expertise in the full SDLC, DevOps, AI enabled software development tools.
- Technology Acumen: Deep understanding of emerging AI enabled SW development tools and technologies, markets, costs, and providers.
- Supply-side Experience: Recent experience in bringing AI enabled software engineering tools to market.
- Demand-side Experience: Recent experience in supporting the adoption of AI software or AI software engineering tools across multiple industries and geographies.
- Research Acumen: Critical thinking, curiosity, and self-motivation to discover and make sense of emerging technology early signals.
- Business and Financial Acumen: Expertise in the business of AI software development and related tools, products and services, company finances, and investor motivation.
- Strong written and verbal proficiency, analytical, and presentation skills.
- Executive presence with the ability to engage C-level provider and end-user clients and respond effectively to questions to quickly build rapport.
- Ability to work both independently and collaboratively in a multicultural, global team.
- Strong organizational skills: ability to work under tight deadlines and produce high-quality deliverables.
Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation.
Sr Director Analyst, Emerging Technology and AI Software Engineering (Remote EU) in Shefford employer: Gartner
Contact Detail:
Gartner Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Director Analyst, Emerging Technology and AI Software Engineering (Remote EU) in Shefford
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and don’t be shy about asking for introductions. The more people you know, the better your chances of landing that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with your own. This will help you tailor your responses and show them you’re a perfect fit for their team.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to get comfortable with common questions. The more you practice, the more confident you’ll feel when it’s time to shine.
✨Tip Number 4
Don’t forget to follow up after interviews! A simple thank-you email can go a long way in leaving a positive impression. It shows your enthusiasm for the role and keeps you on their radar.
We think you need these skills to ace Sr Director Analyst, Emerging Technology and AI Software Engineering (Remote EU) in Shefford
Some tips for your application 🫡
Show Your Curiosity: When writing your application, let your curiosity shine through! We love candidates who are eager to explore and learn about emerging technologies. Share examples of how you've stayed ahead in the tech game and what excites you about AI software engineering.
Be Bold with Your Ideas: Don’t hold back on sharing your bold ideas! We’re looking for innovative thinkers who can provide actionable insights. Use your written application to showcase your thought leadership and how your unique perspective can benefit our clients.
Tailor Your Experience: Make sure to highlight your relevant experience in AI and software development. We want to see how your background aligns with the role. Use specific examples that demonstrate your expertise and how you've tackled challenges in the past.
Keep It Professional Yet Engaging: While we appreciate a friendly tone, remember to keep your application professional. Use clear and concise language, and don’t forget to proofread! A well-structured application shows us you’re serious about joining our team.
How to prepare for a job interview at Gartner
✨Know Your Stuff
Make sure you’re well-versed in the latest trends and technologies in AI software engineering. Brush up on key concepts like AI coding assistants and DevOps, as well as Gartner's research methodologies. This will help you demonstrate your expertise and show that you're genuinely interested in the role.
✨Showcase Your Experience
Prepare to discuss your past experiences in leading AI software development projects. Be ready to share specific examples of how you've overcome challenges and driven success in previous roles. This will highlight your strategic thought leadership and ability to engage with senior executives.
✨Engage with Curiosity
During the interview, ask insightful questions about Gartner’s approach to emerging technologies and how they support their clients. This shows your curiosity and eagerness to learn, which aligns perfectly with the company culture. It also gives you a chance to assess if Gartner is the right fit for you.
✨Practice Your Presentation Skills
Since you'll be expected to create and deliver presentations, practice articulating your ideas clearly and confidently. Consider doing mock presentations to friends or colleagues. This will help you refine your communication skills and ensure you can effectively convey your vision to C-level clients.