OverviewAs a Multidisciplinary Manager, you will 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 Frontier Company Engineering's multidisciplinary operating model. You'll work alongside engineers, data scientists, product managers, and domain experts, owning delivery across the full lifecycle from problem definition through to deployed solutions.
Our work is powered by AI, applying the mindset and tooling across the entire development lifecycle to move from idea to production in days while maintaining the highest standards of security, quality, and trust.
This role offers the opportunity to:
- Lead a multidisciplinary crew to deliver scalable, production-ready solutions
- Coach talent and drive outcomes that directly influence business strategy
- Collaborate with leading global organizations across industries
- Apply the latest advancements in AI to deliver high-impact outcomes at scale
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.
QualificationsRequired/minimum qualifications
- 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 7+ 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 10+ 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 Requirements
- Microsoft is unable to sponsor a work visa for this role due to the nature of the role's job duties.
Additional or preferred qualifications
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ 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 12+ 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 15+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
- 7+ years people-management experience.
- 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
- Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end.
- Enjoy travel and are comfortable with travel up to 25%
#FDE
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
Data Science M6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 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 $220,800 - $331,200 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.
