Overview
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.
Responsibilities
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Lead a multidisciplinary engineering team, owning a portfolio of work to maximize customer and Microsoft value through strong portfolio and delivery leadership.
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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.
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Serve as a player‑coach by taking on selected engagements, modeling engineering fundamentals, customer‑obsessed execution, and inclusive, cross‑discipline collaboration.
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Partner with leadership and discipline managers to ensure healthy team rhythms and strong operational excellence across engagements.
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Contribute to a culture of continuous learning by elevating engineering practices, sharing reusable patterns and accelerators, and strengthening our multidisciplinary operating model.
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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.
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Embody our culture and values.
Qualifications
Required/Minimum Qualifications (RQs/MQs)
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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.
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Relevant experience in engineering leadership and people management
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Experience managing cross-functional and/or cross-team projects.
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Experience or interest working with partners.
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Comfortable with a travel requirement of approximately 25%
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. In our team, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It’s an informal and flexible work environment and you’ll be welcome to work in the way that best enables you to get your job done.
We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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Data Science M5 - The typical base pay range for this role across United Kingdom is £ 91,800.00 - £ 154,700.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html
Data Science M6 - The typical base pay range for this role across United Kingdom is £ 113,800.00 - £ 170,600.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
