Senior Director Analyst - Data Engineering - Edge, Data Lakes, Back End

Director Analyst Data Engineering - Edge, Data Lakes, Back End

Gartner is seeking a highly motivated and experienced Director Analyst to join our dynamic team. This individual will be a subject matter expert in the rapidly evolving field of Edge Data, providing insightful research and strategic advisory services to Gartner clients.

As a Director Analyst specializing in Edge Data, you will be responsible for conducting in-depth research and analysis on trends, technologies, and market dynamics related to data management at the edge. You will leverage Gartner's extensive resources and interact directly with clients to understand their challenges, provide actionable recommendations, and help them make informed decisions regarding edge data strategies.

Key Responsibilities:

• Conduct comprehensive research and analysis on the edge data management market, including databases, data storage, and emerging data architectures at the edge, cloud and AI environment.
• Identify and analyze the key drivers necessitating the adoption of data management in distributed enterprises and their impact on real-time decision-making.
• Author high-quality, thought-provoking research reports, presentations, and other deliverables on key topics such as data management trends, use cases, challenges, and vendor landscapes. This may include contributing to publications such as the Hype Cycle for Edge Computing and planning guides like the Planning Guide for Cloud, Data Center and Edge Infrastructure.
• Provide expert advisory services to Gartner clients through inquiries, meetings, and presentations, addressing their specific questions and providing strategic guidance on their edge data initiatives.
• Develop a deep understanding of the similarities and differences between cloud-based and edge-based data management solutions (e.g., Amazon RDS/Redshift vs. Azure SQL Edge/Turso/Cloudflare) and the factors driving their adoption.
• Strong foundation in data architecture and cloud-native data platforms, with working knowledge of modern data engineering toolchains (streaming, ETL/ELT, CI/CD, and observability) across edge-to-cloud deployments.
• Assess and advise on deploying and operating AI workloads across distributed sites, including orchestration, remote updates, and monitoring for reliability and performance.
• Assess and advise on the long-term suitability, scalability, and security of proposed hybrid data architectures, including integration and orchestration patterns across on-prem and cloud platforms.
• Experience evaluating cloud data platforms (e.g., Snowflake and Databricks) for edge-to-cloud analytics, governance, and real-time data pipelines, including open table formats (Iceberg/Delta).
• Investigate the challenges organizations face in managing distributed data architectures in edge environments, including governance and security concerns, and provide guidance on addressing these challenges.
• Evaluate emerging technologies and their potential impact on data management and related areas, such as AI Infrastructure.
• Analyze the competitive landscape of vendors providing edge data management solutions.
• Contribute to the development of forecasts and market sizing for the edge data market segments.
• Collaborate effectively with other Gartner analysts across different research areas (e.g., edge compute, edge infrastructure, cloud computing, data management, security) to deliver integrated and comprehensive insights to clients.
• Present research findings and insights at Gartner conferences and client events.

Required Skills and Experience:

• Significant experience in the data management domain, with a strong focus on edge computing and edge data management.
• Deep understanding of database technologies, data storage solutions, and data integration strategies, with specific knowledge of their application in environments for Banking and Finance use-cases.
• Understanding and implementation of PCI DSS standards across banking and retail environments.
• Demonstrated ability to conduct independent research and analysis, synthesize complex information, and develop insightful and actionable recommendations.
• Excellent written and verbal communication skills, including the ability to present complex topics clearly and concisely to both technical and non-technical audiences.
• Strong client engagement and advisory skills, with a proven track record of building rapport and providing valuable guidance to clients.
• Familiarity with the various use cases driving edge data adoption across different industries.
• Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and their integration with edge environments.
• Understanding of the security and governance considerations specific to edge data management.
• Bachelor's degree in a relevant field (e.g., Computer Science, Information Technology, Data Science) or equivalent experience; advanced degree preferred.

The ideal candidate will be a thought leader with a passion for the data management space and a strong understanding of the critical role that data plays in this evolving landscape. If you are a highly analytical and client-focused individual with a deep expertise in Edge Data, we encourage you to apply.

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 business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to 21,000 associates globally who support ~14,000 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 vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. 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 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.

Job Requisition ID:98270

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Key skills/competency

• Director Analyst
• Data Engineering
• Edge Data
• Data Management
• Cloud Computing
• AI Workloads
• Data Architecture
• Client Advisory
• Research Reports
• Data Storage