Software Engineering Manager - Finance Data & Experiences

Overview
Are you passionate about AI, data, and transformative user experiences? Do you bring energy, curiosity, and a strong sense of ownership to your work?
At FD&E, we foster a culture of customer centricity, innovation, agility, and transparency — and we’re building a team that’s ready to help Microsoft chart its next chapter in AI-driven business excellence.
As a Software Engineering Manager at Microsoft, you’ll be part of a team of world-class engineers leveraging cutting-edge Microsoft Cloud and AI technologies to deliver modern, scalable, and intelligent systems that drive the Microsoft business forward.
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 team focused on improving efficiency and fundamentals for Finance engineering services, with a focus on scalability, reliability, and efficiency.
- Lead, grow, and retain a team of talented software engineers working on AI-powered developer productivity tooling.
- Partner with TPM, technical leads, and principal engineers to set team direction, prioritize work, and ensure alignment with broader CPI and Microsoft goals.
- Drive clarity on team goals, project milestones, and success metrics - translating strategy into executable plans.
- Foster a culture of experimentation and resilience, where the team feels empowered to try novel AI approaches, learn from failures, and iterate quickly.
- Own the career development of your engineers - providing regular coaching, feedback, and growth opportunities.
- Champion the use of AI in your team's daily workflows and stay current on the evolving landscape of AI developer tools and agentic systems.
- Build and maintain strong cross-team partnerships with other groups at Microsoft working on AI, developer tooling, and engineering systems.
- Recruit and hire exceptional engineering talent to grow the team.
- Contribute positively to a culture where everyone can bring their full and authentic self and where we do our best work as a result.
- Guide technical design, dependency management, and documentation across services and platforms.
- Drive code optimization, refactoring, and reuse to improve system performance, maintainability, and ROI.
- Act as Designated Responsible Individual (DRI) and lead on-call operations, ensuring system health and rapid incident response across product lines.
- Develop deep expertise in distributed systems and cloud-scale architecture.
Qualifications :
- Required Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications
- Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 2+ years of people management experience.
- 4+ years of experience leading software engineering teams, including hiring, performance management, and employee development.
- 4+ years of experience in data, business, or financial analysis.
- Software engineering background with the ability to engage in technical discussions, review system designs, influence technical decisions, and establish credibility with senior engineers.
- Proven track record of delivering software projects end-to-end, including scoping, planning, execution, release, and continuous improvement.
- Proven communication, collaboration, and stakeholder management skills with the ability to work effectively across engineering, product, business, and leadership teams while leading through ambiguity in rapidly evolving environments.
- Experience with agentic AI development concepts and architectures, including multi-step reasoning, tool/function calling, retrieval-augmented generation (RAG), and human-in-the-loop workflows.
- Ability to evaluate emerging AI technologies and developer tools and translate insights into engineering strategy, team practices, and technical direction.
- Experience with developer productivity tooling, engineering systems, build platforms, CI/CD pipelines, and large-scale software infrastructure.
- Hands-on experience with AI agents, plugins, skills, hooks, or similar extensibility frameworks.
- Demonstrated ability to quickly learn new technologies and dri