AI Architecture Product Management Expert; Sr. Director​/Analyst,Fully Remote

Position: AI Architecture Product Management Expert (Sr. Director/Analyst,Fully Remote US)
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+…