Director Analyst
Gurgaon - Cyber Park, India
Gartner
Gartner provides actionable insights, guidance, and tools that enable faster, smarter decisions and stronger performance on an organization’s mission-critical priorities.Title: Director, Analyst – I&O GTP Edge Research Team
Job Description
Gartner Analysts are industry thought leaders who create must-have research, market predictions and best practices for a broad range of world-leading organizations. A Director possesses a keen eye for identifying gaps, problems, and solutions within the market they serve. They use their knowledge to help clients make better decisions, solve complex issues, and execute new practices that propel clients’ businesses toward key objectives. A Director publishes these insights as pragmatic and/or provocative research. Additionally, they reinforce Gartner’s value every day by engaging clients via in-person and virtual meetings, sales support visits, Gartner conferences and industry events.
The successful candidate is an expert in AI implementation, understanding of cloud and Networking technologies is an added advantage.
We are seeking a skilled AI Infrastructure and Networking Analyst to join our team. The ideal candidate is an expert with the understanding of designing, implementing, and managing AI infrastructure and networking solutions to support our client’s AI initiatives. This role involves understanding of collaboration with cross-functional teams to ensure the seamless integration of AI technologies into the existing infrastructure and developing strategies to optimize performance, scalability, and security. The candidate will focus on written and customer-facing deliverables aimed at the technical staff who face the challenges of improving on-premises, hybrid, and edge infrastructure especially for AI implementation.
Key areas of focus include all aspects of AI infrastructure, including application architecture, data management and distribution, security, and hardware technologies. The ideal candidate will be able to create AI Edge reference architectures for specific industry verticals such as retail, manufacturing, healthcare, and industrial. They will also have experience with the technical engineering challenges of infrastructure and networking technologies.
What you will do:
- Collaboratively write and publish analysis and positions at a regular cadence through evidence-based research.
- Create compelling, technical research on AI infrastructure, aimed at IT practitioners.
- Provide professional representation of Gartner’s brand, research, insights, and analysis to technical teams in Gartner’s client base.
- Provide clients and prospects with actionable advice aligned to their designated content area via virtual or face-to-face interactions.
- Apply personal experience and technical expertise to an array of clients, situations, and industries.
- Communicate complex concepts concisely and with authority.
- Work with Gartner Sales executives to attract, engage and retain Gartner customers.
- Proactively contribute to thought leadership and research communities.
What you will need:
- In-depth technical knowledge of building strong AI infrastructure including data ingestion & processing, networking solutions, cloud infrastructure, platforms and frameworks.
- Understanding of designing and implementation of AI infrastructure solutions, including high-performance computing environments utilizing CPUs, GPUs, and ARM processors
- Understanding of AI infrastructure components and technologies, such as Nvidia, HPE Greenlake, Dell AI offerings, and Lenovo systems
- Provide expert guidance on AI infrastructure strategies, including centralized vs. federated architectures and cloud vs. on-premises solutions.
- Knowledge of integrating AI solutions into existing network infrastructure and best practices including software-defined networks and cloud-based solutions.
- Experience in designing detailed secure and efficient data flow between AI systems and other enterprise applications.
- Knowledge of AI models and automation technologies, including Models adoption and process automation
- Knowledge of deployment and management of AIOps and MLOps infrastructure
- Understanding of governance and compliance frameworks for AI infrastructure
- Experience with AI Use cases and infrastructure requirements across industry verticals, including retail, manufacturing, healthcare, and industrial.
- Familiarity with AI security best practices and data protection measures.
- Strong written and verbal proficiency, analytical and presentation skills; ability to engage clients and respond effectively to questions.
- Ability to work independently, while also being intrinsically motivated to collaborate across teams and support the workflow of others in a multicultural global team.
- Strong organizational skills: ability to work under tight deadlines and produce high quality deliverables.
- Bachelor's degree or equivalent experience; Graduate degree preferred
Who are we?
At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.
Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.
Since our founding in 1979, we’ve grown to more than 20,000 associates globally who support ~15,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.
What makes Gartner a great place to work?
Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance.
We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.
Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.
We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.
What do we offer?
Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.
In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.
Ready to grow your career with Gartner? Join us.
The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity.
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 if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AIOps Architecture Arrow Data management Engineering Industrial ML infrastructure MLOps Privacy Research Security
Perks/benefits: Career development Competitive pay Conferences Team events
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