Principal Enterprise Architect, CTO Office, US Commercial Industries
Job Description
We are the CTO Office for Microsoft's US Commercial Industries, and we are looking to hire a team of Principal Enterprise Architects, who each be aligned to the following industries: 1.) Health Life Sciences; 2.) Financial Services; 3.) Manufacturing & Mobility; 4.)Retail Consumer Goods. We are seeking visionary and strategic principal level leaders with depth and breadth in the aligned industries to drive the evolution of our focus on delivering outcome-based solutions by embedding co-engineering and co-innovation practices and AI transformation capabilities across industry operating units. This role will be instrumental in shaping how we co-create with customers, accelerate their digital transformation, and scale AI adoption through deep customer engagement and innovation across industry operating units. Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us to achieve our mission.
Locations
- Multiple Locations, Multiple Locations, United States, Multiple Locations, Multiple Locations, United States
Salary
Salary not disclosed
Required Qualifications
- Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 6+ years experience in technical program/product management, coding, software development/delivery work OR equivalent experience. (degree)
- OR equivalent experience. (degree)
- 5+ years of enterprise customer-facing experience. (degree)
- Hands-on experience with complex production applications that use Azure, AWS, GCP, and large-scale, on-premise deployments with a focus on one or more of the following: Designing and implementing production cloud data estates Developing and implementing production AI applications from first hypothesis to production Network and application security at cloud-scale (degree)
- Designing and implementing production cloud data estates (degree)
- Developing and implementing production AI applications from first hypothesis to production (degree)
- Network and application security at cloud-scale (degree)
- 3+ years enterprise experience managing cross-functional and/or cross-team projects. (degree)
- Business maturity and experience working with upper-level executives and upper-level customer stakeholders. (degree)
- Ability to work independently but seek guidance, coaching, and assistance from both direct leadership and the Americas CTO as needed. (degree)
- Experience leading co-engineering, co-innovation, and complex delivery programs with enterprise customers. (degree)
- Experience leading co-engineering, co-innovation, and complex delivery programs with enterprise customers. (degree)
- Familiarity with AI governance, responsible AI frameworks, and ethical deployment practices. (degree)
- Background in consulting, technical sales, or customer engineering roles. (degree)
Preferred Qualifications
- Business maturity and experience working with upper-level executives and upper-level customer stakeholders. (degree)
- Ability to work independently but seek guidance, coaching, and assistance from both direct leadership and the Americas CTO as needed. (degree)
- Experience leading co-engineering, co-innovation, and complex delivery programs with enterprise customers. (degree)
- Experience leading co-engineering, co-innovation, and complex delivery programs with enterprise customers. (degree)
- Familiarity with AI governance, responsible AI frameworks, and ethical deployment practices. (degree)
- Background in consulting, technical sales, or customer engineering roles. (degree)
Responsibilities
- Partner with operating unit leaders to define and embed co-engineering and co-innovation models that align with customer outcomes.
- Champion complex delivery and AI transformation initiatives that empower customer engineering teams to deliver scalable, repeatable, and impactful solutions.
- Serve as a thought leader and change agent, influencing cross-functional stakeholders to adopt modern engineering and AI practices.
- Partner with industry operating unit leadership to establish and build proven industry capabilities to accelerate customer outcomes and innovation
- Lead the design and deployment of reusable engineering frameworks, toolkits, and accelerators that enable co-development with customers.
- Drive the integration of AI capabilities into customer success engagements, ensuring alignment with business value and ethical AI principles.
- Foster a culture of experimentation, agility, and continuous learning within customer engineering teams.
- Establish governance, metrics, and best practices to measure the impact of co-engineering and co-innovation on customer outcomes.
- Collaborate with product, industry advisors, consulting, and account teams to ensure feedback loops and innovation cycles are tightly integrated.
- Scale successful models within the operating units through playbooks, communities of practice, and enablement programs by aligning with operating unit leadership, industry advisors, consulting, and account teams
- Build and mentor a high-performing team of customer engineers and AI specialists.
- Promote diversity, inclusion, and psychological safety to unlock creativity and innovation.
- Inspire teams to embrace a growth mindset and customer-obsessed culture.
- Embody our Culture and Values
Travel Requirements
3 days / week in-office
