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Microsoft Discovery is a next-generation agentic AI platform designed to transform scientific research and development (R&D). The platform enables scientists and engineers to collaborate with specialized AI agents guided by a graph-based knowledge engine (GraphRAG) to actively participate in the research lifecycle: generating hypotheses, running simulations, analyzing results, and iterating continuously. The role is to drive co-innovation and win partners and customers for the Preview of this platform.

Requirements

• 5+ years experience in data platform capabilities and industry research architect platforms working with Scientist and Technologist for R&D initiatives.
• Master's Degree in Computer Science, Information Technology, Engineering, Health or Chem and Materail Sciences as well as Energy and Resources Sciences, Supply Chain, Education, Business or related field AND 7+ years customer-facing experience in operations, enterprise-level improvement program management, product management, transportation, hospitality, automotive, consumer goods, financial services, retail, management consulting, consultative selling, public sector, technology or industry-relevant equivalent management or technical work experience
• Bachelor's Degree in Computer Science, Information Technology, Engineering, Health Sciences, Supply Chain, Education, Business or related field AND 7+ years customer-facing experience in operations, enterprise-level improvement program management, product management, transportation, hospitality, automotive, consumer goods, financial services, retail, management consulting, consultative selling, public sector, technology or industry-relevant equivalent management or technical work experience
• Master's Degree in Computer Science, Information Technology, Engineering, Health or Chem and Materail Sciences as well as Energy and Resources, Supply Chain Business or related field AND 3+ years customer-facing experience in operations, enterprise-level improvement program management, product management, transportation, hospitality, automotive, consumer goods, financial services, retail, management consulting, consultative selling, public sector, technology or industry-relevant equivalent management or technical work experience
• Bachelor's Degree in Computer Science, Information Technology, Engineering, Health Sciences, Supply Chain, Education, Business or related field AND 5+ years customer-facing experience in operations, enterprise-level improvement program management, product management, transportation, hospitality, automotive, consumer goods, financial services, retail, management consulting, consultative selling, public sector, technology or industry-relevant equivalent management or technical work experience

Responsibilities

• generating hypotheses, running simulations, analysing results, and iterating continuously
• Works with 5-10 partners aligend to Discovery to identify opportunities for data, models and IP to accrue value to the platform.
• Works with MDQ teams to onboard them.
• Creates segment-focused three-horizon roadmaps and scopes co-innovation use cases aligned to the goals of R&D and MSFT Discovery solutions.
• Ensures engagement and positioning of appropriate resources to execute on AI transformation plan to support mid- to long-term Doscovery Platform roadmap.
• Identifies pipeline opportunities (stage 1-2) in target customers based on their R&D needs and priorities.
• Works with MDQ and HLS AI product teams toward those solutions.

Other

• Winning partners and customers for Preview is about driving co-innovation and working with the MDQ Engineering team and with customer’s senior leaders in Research and Innovation.
• The Global IA for Microsoft Discovery Preview Customers across Manufacturing, Life sciences, Chem and Materials will serve as a thought leader on industry-focused R&D and R&I innovation partners and sales within Microsoft.
• They will be the Industry subject matter expert in AI transformation working with 5-7 clients as targets for Discovery Preview.
• This role will proactively build external network of stakeholders, orchestrates early stages of engagement opportunities with strategic target accounts, working closely with the MDQ engineering team.
• The Discovery IA will have accountability to land 5-6 R&D Preview co-innovation customers by end of FY26 with defined repeatable use cases that will drive vertical value and relevance for the Discovery platform.