Gartner
AI Architecture Product Management Expert (Sr. Director/Analyst,Fully Remote US)
Gartner, Stamford, Connecticut, United States, 06925
Sr Director Analyst, AI Architecture Product Manager (Remote US) – Gartner
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About The Role Gartner Analysts are industry leaders who deliver essential research, market forecasts, and best practices to top organizations. As a Senior Director in Research and Advisory, you establish credibility in regional and global markets, producing impactful research that helps clients achieve key objectives. You serve as a trusted advisor, reinforcing Gartner’s value through client engagements, sales support, and conferences, offering solutions to complex challenges.
In this role you will advise Gartner High Tech clients in Technology Product Leadership Roles by applying your experience working for large or global technology providers developing AI‑powered software and infrastructure products. Gartner aims to be the leading authority on AI market research. You will help drive our AI strategy by identifying emerging use cases and advising high‑tech clients on where to focus their AI investments. You will develop business strategies to capitalize on new AI market dynamics, using primary and secondary data and collaborating with analysts to deliver impactful research and insights. Additionally, you will guide clients on integrating AI capabilities into their broader technology portfolios.
What You Will Do
Create innovative, thought‑provoking, and highly leveraged “must‑have research” for global technology provider clients investing in AI technologies
Develop research that offers compelling, actionable approaches to client needs and accelerates the client’s ability to drive AI software and infrastructure revenue growth
Build in‑depth analysis to identify the root cause of client performance barriers and reframe client thinking to drive their business strategy forward
Establish research positions that are adopted across a cohort of analysts
Provide high‑quality and timely research content peer review
Become a trusted advisor to client executive leaders and product managers of AI‑native and AI‑enabled technologies by providing a regular cadence of high‑quality interactions via 1:1 client inquiry
Build credibility as an AI architecture industry expert to represent Gartner research, methodology and strategy during meetings with client executive teams
Validate client strategies and accelerate client decision making by providing available data and use cases that de‑risk their business decisions
Create and deliver high‑value presentation materials for virtual and in‑person Gartner events, industry and professional association conferences, and client briefings
Provide sales support for large and global technology service clients and prospects so Gartner can retain and grow seat holders and revenue
What You Are
Data strategy and governance, data science and analytics
Computational infrastructure, computer vision and natural language processing
Applied machine learning algorithms, predictive modelling, model training
Data engineering and MLOps and LLMOps, integration and API toolsets
AI architectural principles around modular design, infrastructure as code, CI/CD for ML, and security‑by‑design (encryption, identity, network isolation)
High‑level solution blueprints covering data ingestion, feature stores, model training, serving, monitoring and governance layers
Ethical AI design and responsible AI practices, including bias detection, fairness, transparency and explainability
AI regulations and standards (e.g. EU AI Act, US AI Bill of Rights) and guide teams on compliance
AI privacy‑preserving technologies (federated learning, differential privacy, secure multi‑party computation)
AI model documentation and reproducibility
Emerging AI technologies and assess their applicability for business use cases
Strong knowledge of analytics and AI architectures in hybrid data environments (data lakes, file systems, connectors), data processing pipelines for RAG and Agentic grounding and application development stacks
Bachelor’s degree or equivalent experience in computer science; graduate degree preferred
12+ years of tech‑provider side experience as CPO or Product Manager for AI products resulting in deep subject‑matter expertise across AI cloud‑native architectures and processes
Full product lifecycle experience gained while working at large or global high‑tech provider: building product strategy, launching new products, managing product evolution, product pricing and packaging, messaging and market collaboration, product delivery management, managing in‑ and end‑of‑life product activities
Strong written and verbal proficiency, analytical and presentation skills; ability to engage clients and respond effectively to questions during 1:1 client inquiry
Executive presence; can immediately establish credibility with executives and additional stakeholders
Comfortable presenting at large and small‑scale speaking engagements
Strong business and financial acumen
Strong data and concept visualization skills
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
Adept at analyzing and synthesizing data; can effectively apply patterns and frameworks to client challenges
Availability to periodically travel, regionally and globally ~10%
Preferred: experience leading AI solutions for software companies worldwide
Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. With over 21,000 associates globally supporting ~14,000 client enterprises in ~90 countries, we deliver expert analysis, bold ideas, and actionable business insights to enterprise leaders.
What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities for professional growth and personal fulfillment. We hire remarkable people who collaborate and win as a team, fostering an inclusive environment that values diversity, equity, and inclusion.
What Do We Offer? World‑class benefits, highly competitive compensation, and disproportionate rewards for top performers. Our hybrid work environment provides flexibility and support for you to thrive – working virtually when productive and collaborating in‑person. Base salary range: $152,000 – $190,000. Additional compensation may include an annual bonus plan or role‑based, uncapped sales incentive plan. We also offer generous PTO, a 401(k) match up to $7,200 per year, stock purchase opportunities, and more.
Equal Employment Opportunity Statement 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 those 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 emailing ApplicantAccommodations@gartner.com.
Application Instructions To apply, submit your information and follow the country or regional recruitment notice linked below. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy.
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About The Role Gartner Analysts are industry leaders who deliver essential research, market forecasts, and best practices to top organizations. As a Senior Director in Research and Advisory, you establish credibility in regional and global markets, producing impactful research that helps clients achieve key objectives. You serve as a trusted advisor, reinforcing Gartner’s value through client engagements, sales support, and conferences, offering solutions to complex challenges.
In this role you will advise Gartner High Tech clients in Technology Product Leadership Roles by applying your experience working for large or global technology providers developing AI‑powered software and infrastructure products. Gartner aims to be the leading authority on AI market research. You will help drive our AI strategy by identifying emerging use cases and advising high‑tech clients on where to focus their AI investments. You will develop business strategies to capitalize on new AI market dynamics, using primary and secondary data and collaborating with analysts to deliver impactful research and insights. Additionally, you will guide clients on integrating AI capabilities into their broader technology portfolios.
What You Will Do
Create innovative, thought‑provoking, and highly leveraged “must‑have research” for global technology provider clients investing in AI technologies
Develop research that offers compelling, actionable approaches to client needs and accelerates the client’s ability to drive AI software and infrastructure revenue growth
Build in‑depth analysis to identify the root cause of client performance barriers and reframe client thinking to drive their business strategy forward
Establish research positions that are adopted across a cohort of analysts
Provide high‑quality and timely research content peer review
Become a trusted advisor to client executive leaders and product managers of AI‑native and AI‑enabled technologies by providing a regular cadence of high‑quality interactions via 1:1 client inquiry
Build credibility as an AI architecture industry expert to represent Gartner research, methodology and strategy during meetings with client executive teams
Validate client strategies and accelerate client decision making by providing available data and use cases that de‑risk their business decisions
Create and deliver high‑value presentation materials for virtual and in‑person Gartner events, industry and professional association conferences, and client briefings
Provide sales support for large and global technology service clients and prospects so Gartner can retain and grow seat holders and revenue
What You Are
Data strategy and governance, data science and analytics
Computational infrastructure, computer vision and natural language processing
Applied machine learning algorithms, predictive modelling, model training
Data engineering and MLOps and LLMOps, integration and API toolsets
AI architectural principles around modular design, infrastructure as code, CI/CD for ML, and security‑by‑design (encryption, identity, network isolation)
High‑level solution blueprints covering data ingestion, feature stores, model training, serving, monitoring and governance layers
Ethical AI design and responsible AI practices, including bias detection, fairness, transparency and explainability
AI regulations and standards (e.g. EU AI Act, US AI Bill of Rights) and guide teams on compliance
AI privacy‑preserving technologies (federated learning, differential privacy, secure multi‑party computation)
AI model documentation and reproducibility
Emerging AI technologies and assess their applicability for business use cases
Strong knowledge of analytics and AI architectures in hybrid data environments (data lakes, file systems, connectors), data processing pipelines for RAG and Agentic grounding and application development stacks
Bachelor’s degree or equivalent experience in computer science; graduate degree preferred
12+ years of tech‑provider side experience as CPO or Product Manager for AI products resulting in deep subject‑matter expertise across AI cloud‑native architectures and processes
Full product lifecycle experience gained while working at large or global high‑tech provider: building product strategy, launching new products, managing product evolution, product pricing and packaging, messaging and market collaboration, product delivery management, managing in‑ and end‑of‑life product activities
Strong written and verbal proficiency, analytical and presentation skills; ability to engage clients and respond effectively to questions during 1:1 client inquiry
Executive presence; can immediately establish credibility with executives and additional stakeholders
Comfortable presenting at large and small‑scale speaking engagements
Strong business and financial acumen
Strong data and concept visualization skills
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
Adept at analyzing and synthesizing data; can effectively apply patterns and frameworks to client challenges
Availability to periodically travel, regionally and globally ~10%
Preferred: experience leading AI solutions for software companies worldwide
Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. With over 21,000 associates globally supporting ~14,000 client enterprises in ~90 countries, we deliver expert analysis, bold ideas, and actionable business insights to enterprise leaders.
What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities for professional growth and personal fulfillment. We hire remarkable people who collaborate and win as a team, fostering an inclusive environment that values diversity, equity, and inclusion.
What Do We Offer? World‑class benefits, highly competitive compensation, and disproportionate rewards for top performers. Our hybrid work environment provides flexibility and support for you to thrive – working virtually when productive and collaborating in‑person. Base salary range: $152,000 – $190,000. Additional compensation may include an annual bonus plan or role‑based, uncapped sales incentive plan. We also offer generous PTO, a 401(k) match up to $7,200 per year, stock purchase opportunities, and more.
Equal Employment Opportunity Statement 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 those 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 emailing ApplicantAccommodations@gartner.com.
Application Instructions To apply, submit your information and follow the country or regional recruitment notice linked below. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy.
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