Data Science Leader

23 hours ago

Batangas, Calabarzon, Philippines beBeeArtificial Full time $147,149 - $214,999
AI Leadership Role:

The Director Analyst will create Gartner research and provide related advice to clients, supporting the sales force in new sales and client retention.

The research will provide insight, predictions, and actionable advice to clients in the area of AI, GenAI, Machine Learning (ML), and Data Science.

This includes writing about, presenting, and advising organizations about AI technologies, governance, best practices, market trends, and vendors and their solutions, service providers, governance, and best practices in AI.

Key Responsibilities:
  • Conduct research and analysis in AI, GenAI, Machine Learning, and Data Science, focusing on strategy, best practices, market trends, technologies, and vendors.
  • Apply expertise in an industry discipline and deep knowledge of a particular market, industry, or role, understanding both technology and industry to include market, products, and user strategies in specific areas.
  • Cover specified areas as well as applicable adjacent areas, maintaining a view across a broad spectrum of the market to produce innovative, thought-leading, impactful, fact-based research.
  • Identify critical questions facing Gartner clients and craft appropriate research methods to address them. Provide in-depth analysis based on extensive client input, collaboration with other Gartner analysts, and personal experience.
  • Lead a body of research and be recognized in the industry as a subject matter expert, developing a following.
  • Create and deliver high-value presentations and other materials.
  • Assist the Sales organization in selling and retention on topics covered by the Analyst's team.
  • Provide high-quality and timely research peer review. Provide mentorship and support team members.
  • Actively participate in or lead research projects as needed and collaborate effectively with peers.
Requirements:
  • 10+ years of experience within the technology field, specifically AI/ML.
  • Relevant qualifications and/or relevant experience preferred.
  • Technology and business knowledge of end-user strategies, AI/ML market, vendors, and products.
  • Achieve AI/ML model development, deployment, and management.
  • Application development and use implications of AI.

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