Industry Advisory - Microsoft Discovery
Microsoft
Industry Advisory - Microsoft Discovery
Multiple Locations, United States
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Overview
Microsoft Discovery is a next-generation agentic AI platform designed to transform scientific research and development (R&D). It was officially announced at Build 2025 and is part of Microsoft’s AI for Science (AIFS) initiative. At its core, Discovery enables scientists and engineers to collaborate with specialised AI agents guided by a graph-based knowledge engine (GraphRAG). These agents don’t just assist—they actively participate in the research lifecycle: generating hypotheses, running simulations, analysing results, and iterating continuously
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. In addition to Discovery this role will also scout for other pipeline opportunities in these accounts working closely with other IAs.
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 engage senior decision makers in R&D and Digital (Head of R&D, CDO, CFO)... and influence them to adopt Microsoft Discovery, working side by side with their teams to scope use cases that will add value to the Discovery Platform, aiming to deepen the industry relevance of the platform as we progress it from Preview to GA in FY26.
The IA will collaborate with System Intergrators and Industry Softwar Platform Partner to carry out competitive recruiting of leading R&D platform companies which will be in target for the advancement of the Discovery Platform. Provides insight and feedback from worldwide counterparts and industry teams to help with best practices.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Qualifications
Required/Minimum Qualifications
- 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
- OR 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
- OR equivalent experience.
- 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 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
- OR 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
- OR equivalent experience.
- 3+ years proven people management and/or leadership experience.
Industry Advisory IC4 - The typical base pay range for this role across the U.S. is USD $107,600 - $187,500 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $145,600 - $205,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications for the role until October 3, 2025.
Responsibilities
Successful Preview for Microsoft Discovery Platform
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.
Partner onboarding to Discovery
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.