Multidisciplinary Manager, Industry Solutions Engineering (ISE) / Data Science

Posted 6 Days Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
143K-304K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Lead a cross-discipline engineering team (software engineering, TPM, data science) to deliver customer cloud solutions, coach and develop talent, model engineering excellence, promote reusable patterns and responsible AI, and partner with product teams and customers to build high-impact, open-source solution assets.
Summary Generated by Built In
Overview

Do you enjoy solving problems, developing cutting-edge technical solutions, and working with customers? Do you want to join a team where learning about new technology is part of our work every day? Then, come join us! 
 
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.  

We are hiring a Multidisciplinary Manager, Industry Solutions Engineering (ISE), 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.  

As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology.  You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams. You will enable the technical program managers on your team to apply their skills, creativity, and aspirations to benefit our customers and advance their careers. 

We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.  

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
  • 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. 



Qualifications

Required/minimum qualifications:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    •  OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    •  OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    •  OR equivalent experience.
  • 3+ years people-management experience.
Other Qualifications:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
  • Citizenship & Citizenship Verification: This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government Clearance.
Additional or preferred qualifications:
  • The ability to obtain and maintain a United States Security Clearance.
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    •  OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    •  OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    •  OR equivalent experience.
  • 5+ years people-management experience.

#ISEngineering 

#WSS 


Data Science M5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 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


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, read more about requesting accommodations.

Skills Required

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
  • Or equivalent experience
  • 3+ years people-management experience
  • Pass Microsoft Cloud background check upon hire/transfer and every two years thereafter
  • Verification of U.S. citizenship required (must provide valid passport or approved documents)
  • Ability to obtain and maintain a United States Security Clearance
  • Preferred: Doctorate with 5+ years, Master's with 8+ years, or Bachelor's with 12+ years data-science experience (or equivalent)
  • Preferred: 5+ years people-management experience

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

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The Company
HQ: Redmond, WA
206,870 Employees
Year Founded: 1975

What We Do

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.

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