Multidisciplinary Manager (data Science) - Fde

Microsoft Microsoft · Big Tech · Schiphol, United Kingdom +1 · Data Science

This role is for a Multidisciplinary Manager in the Industry Solutions Engineering (ISE) team at Microsoft, leading a cross-discipline engineering team to co-engineer AI-powered, cloud-based solutions with customers. The focus is on delivering measurable business outcomes by applying AI across the full lifecycle, ensuring secure, production-ready solutions. The manager will coach engineers, serve as a player-coach on engagements, and champion AI-forward hypervelocity engineering with responsible AI practices.

What you'd actually do

  1. Lead a multidisciplinary engineering team, owning a portfolio of work to maximize customer and Microsoft value through strong portfolio and delivery leadership.
  2. Provide clear coaching, career development, and performance support for engineers across software engineering, technical program management, and data science, fostering growth in a multidisciplinary environment.
  3. Serve as a player‑coach by taking on selected engagements, modeling engineering fundamentals, customer‑obsessed execution, and inclusive, cross‑discipline collaboration.
  4. Partner with leadership and discipline managers to ensure healthy team rhythms and strong operational excellence across engagements.
  5. Contribute to a culture of continuous learning by elevating engineering practices, sharing reusable patterns and accelerators, and strengthening our multidisciplinary operating model.

Skills

Required

  • Doctorate OR Master's OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND significant data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
  • Relevant experience in engineering leadership and people management
  • Experience managing cross-functional and/or cross-team projects.
  • Experience or interest working with partners.
  • Comfortable with a travel requirement of approximately 25%

What the JD emphasized

  • AI-powered
  • apply AI across the full lifecycle
  • build and ship secure, production-ready solutions
  • Champion AI‑forward hypervelocity engineering
  • apply responsible AI practices
  • integrate emerging AI capabilities