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The Industry Solutions Engineering (ISE) team is a global engineering organization that has operated Microsoft’s Forward Deployed Engineering function for over a decade, working directly with customers to co-engineer solutions to their toughest business challenges. We don’t build things and hand them over. We embed ourselves with customers, engineer side-by-side, and create real business value together. We operate in small, multidisciplinary teams, enabling tight feedback loops and rapid iteration. Together, we build AI-powered, cloud-based solutions that deliver measurable business outcomes. Our work is powered by methodology of applying AI across the full lifecycle to build and ship secure, production-ready solutions from day one, accelerating time to value without sacrificing quality, control, or trust. We collaborate with Microsoft product teams, partners, and open-source communities to create reusable, high-impact solution patterns that contribute to the broader Microsoft platform. We are hiring a Multidisciplinary Manager to lead a cross‑discipline engineering team, operating with a portfolio mindset to deliver high‑impact customer outcomes while coaching talent, modeling engineering excellence, and strengthening ISE’s multidisciplinary operating model. 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.
Job Responsibility
Lead a multidisciplinary engineering team, owning a portfolio of work to maximize customer and Microsoft value through strong portfolio and delivery leadership
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
Serve as a player‑coach by taking on selected engagements, modeling engineering fundamentals, customer‑obsessed execution, and inclusive, cross‑discipline collaboration
Partner with leadership and discipline managers to ensure healthy team rhythms and strong operational excellence across engagements
Contribute to a culture of continuous learning by elevating engineering practices, sharing reusable patterns and accelerators, and strengthening our multidisciplinary operating model
Champion AI‑forward hypervelocity engineering by guiding teams to apply responsible AI practices, leverage accelerators and reusable patterns, and integrate emerging AI capabilities into customer solutions and delivery
Embody our culture and values
Requirements
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