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Senior Architect, Global Education Framework (Remote)

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External adjunct faculty members in marketing (F/H)

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Senior Architect, Global Education Framework (Remote)

Senior Architect, Global Education Framework (Remote)

Dassault SystèmesVélizy-Villacoublay
Il y a plus de 30 jours
Type de contrat
  • Temps plein
Description de poste

Location: Hybrid

Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week following Company policy.

About our Company:

About the Team:

As Senior Architect, you are responsible for leading the modernization of our Global Education ecosystem. Your mission is to unify our tools and technology stack and bridge the gap between AI experimentation and operational reality. You will be integral to building a seamless, AI-enabled learner experience that scales global education and drives business value.

Responsibilities:

  • Technology Stack Modernization: Lead the transition from legacy infrastructure to a unified future-state Global Education technology (LMS, KM, Community, and Certification). Build and execute proposals for the renewal or replacement of legacy platforms like Zoomin, aiming to design a vendor-less operational workflow.
  • AI & Knowledge Management Execution: Assume lead for the develop/scale initiative to adopt agentic solutioning for our global education body of knowledge, aligned with best practice agentic solutioning models.
  • Unified Learner Experience: Design and implement a universal learner experience across all customer-facing access portals, leveraging corporate resources to optimize and simplify the user learning journey.
  • Strategic Analytics: Implement a real-time KPI framework and dashboards (such as Tableau) that link AI adoption and learner engagement directly to financial impact and operational efficiency.
  • Stack Governance: Oversee the technology lifecycle, from risk abatement and high availability to license allocation and vendor management.

Qualifications:

  • EdTech Mastery: Proven track record of architecting complex learning ecosystems (LMS + KM + Community).
  • AI Practitioner: Hands-on experience deploying Agentic AI in a corporate environment to solve support or content challenges.
  • Data-Driven: Ability to quantify the ROI of tech investments through advanced data visualization and productivity modeling.
  • Strategic Execution: Experience managing high-stakes timelines for architectural assessments and phased global rollouts.
  • You don't just "manage" tools; you build frameworks that make them smarter.
  • You thrive in the "Gray Space" between experimental AI and stable production environments.
  • Bachelor's Degree in computer science or related field with minimum 10 years experience.

As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location.

The salary range for positions that will be physically based in the NYC Metro Area is $114,750-153,000.

The salary range for positions that will be physically based in the California Bay Area is $121,500-162,000.

The salary range for positions that will be physically based in the Boston Metro Area is $113,250-151,000.

The salary range for positions that will be physically based in Texas or Ohio is $101,250-135,000.

The salary range for positions that will be physically based in all other locations within the United States is $102,750-137,000.

Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides best-in-class benefits, including medical, dental, life and disability insurance; 401(k) matching; flexible paid time off; and 10 paid holidays per year.

Equal Employment Opportunity:

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Applications will be accepted on an ongoing basis until the position is filled.

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