S&P Global - Sacramento, CA

posted about 1 month ago

Full-time - Senior
Sacramento, CA
10,001+ employees
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Senior Analyst role in Machine Learning and Artificial Intelligence Infrastructure at S&P Global is a pivotal position within the Data, AI, and Analytics research practice. This role is designed for an experienced industry analyst who will focus on generating market-leading insights specifically related to machine learning and artificial intelligence technologies. The successful candidate will join a team of five experts dedicated to exploring the interdependencies between these technologies and the various fields of infrastructure, data, and analytics. This research practice is part of a larger ecosystem of industry analyst teams known as '451 Research', which has been at the forefront of technology analysis for over two decades. The analyst will leverage various research techniques, including expert market insights, end-user surveys, forecast modeling, revenue tracking, and in-depth interviews, to provide comprehensive analysis of the technology landscape. In this role, the Senior Analyst will influence a wide range of stakeholders across the technology ecosystem, including technology and service providers, the investment community, and enterprises deploying generative AI. The focus will be on advancing research in the infrastructure and data areas of the AI stack, particularly analyzing the architectural shifts necessary for developing, hosting, and deploying predictive and generative AI capabilities. The analyst will adopt an AI-first foundational approach to assess industry changes associated with edge AI, AI inference, and AI accelerators/GPU chips. This position will also require contextualizing insights with respect to skills, economic trends, supply chain dynamics, and global political and regulatory impacts. The role offers the opportunity to lead insights on cutting-edge machine learning and AI technologies, engage with leading technology providers, and develop a profile as an industry analyst expert through speaking engagements at conferences and events. The analyst will be responsible for creating and maintaining a unique program of market-leading written research, synthesizing quantitative and qualitative data to produce vendor profiles, market trend reports, and M&A focused analyses. Additionally, the analyst will take ownership of developing survey instruments and contribute to key data products, while also advising clients on actionable insights relevant to their needs and interests in AI and GenAI.

Responsibilities

  • Lead insights on cutting-edge machine learning and AI technologies engaging with leading technology providers, investors, and enterprises.
  • Develop and maintain a unique program of market-leading written research analyzing AI and GenAI technologies, focusing on underlying infrastructure and platform layers.
  • Synthesize quantitative and qualitative data to create vendor profiles, market trend reports, and M&A focused analyses, producing approximately 40 short-form and a few long-form reports annually.
  • Take independent ownership of building and curating a prioritized watchlist of vendors to inform data products and report production.
  • Collaborate with other S&P analyst experts in Edge and Data Center infrastructure to socialize requirements needed for AI.
  • Develop annual or semi-annual survey instruments, including writing questions and collaborating with other analysts.
  • Advise clients on actionable insights relevant to their needs and interests on AI and GenAI, both virtually and face-to-face.
  • Engage with commercial colleagues through sales support initiatives and consulting projects.

Requirements

  • 7-10 years of experience as an industry analyst with expertise in AI strategies and/or enterprise software markets.
  • Demonstrated enthusiasm for the latest technological advancements and innovations, especially around ML/AI.
  • Highly external facing analyst who enjoys building relationships with clients and prospects, with significant public speaking experience.
  • Excellent writing, analytical, interpersonal, and presentation skills, with strong proficiency in analyzing research data.
  • Experience in managing an individual program of research with the ability to balance time across written research, data product, client engagement, and sales support responsibilities.
  • Ability to work efficiently and effectively with peers in analyst, data, consulting, and commercial teams.

Nice-to-haves

  • BA/BS degree required; MBA/MA/MS preferred.
  • Experience in client engagement and travel for conferences and client meetings.

Benefits

  • Health insurance
  • Continuing education credits
  • Referral program
  • Flexible downtime policies
  • Career coaching
  • Health and wellness support
  • Family-friendly perks
  • Competitive pay and retirement planning
  • Financial wellness programs
  • Retail discounts and referral incentive awards
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