Job Details

Sr Director Analyst, AI Architecture Product Manager (Remote US)

  2025-12-04     Gartner     all cities,AK  
Description:

Senior Director In Research And Advisory

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.

You are primarily responsible for advising Gartner high tech clients intechnology 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. In this role, 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.

As a Gartner analyst you will be responsible for the following:

  • 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's needs and accelerate 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 is able to retain and grow seat holders and revenue.

The ideal candidate will demonstrate senior level product management experience with both vision and strategy encompassing all elements of AI architecture that will power leading AI products of tomorrow:

  • 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

The candidate will be expected to advise on the following:

  • 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

Please note this is an individual contributor role and NOT a leadership role with direct reports.

It helps to be obsessed with your topic! Gartner analysts are correctly viewed as THE experts. This means you need to be on the leading edge of AI-driven market innovation, emerging trends, top providers and effective high-tech product management practices. Gartner analysts are team players who value expert insights, bold ideas and intellectual courage.

  • Strong knowledge of analytics and AI architectures in hybrid data environments (datalakes, 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 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%


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