SR TECHNICAL PROGRAM MANAGER
Job Description
Ready to shape the future of how Microsoft operates its ~$250B+ business portfolio? Are you passionate about AI, data, and transformative user experiences? Do you bring energy, curiosity, and a sense of ownership to your work? The Finance Data & Experiences (FD&E) organization is on a mission to redefine how Microsoft measures, monitors, and optimizes its global business, and we’re looking for top talent to join us. This is a unique opportunity to lead with bold ideas, apply cutting-edge technology, and work across Finance, Sales, Marketing, Business Operations, and Product Engineering to deliver high-impact business solutions. The right candidate will thrive in fast-paced, cross-functional environments, bring fresh thinking to complex problems, and be eager to learn to take ownership of end-to-end processes and outcomes. Join us and be part of a team that’s pushing the boundaries of innovation, taking risks, and implementing AI to drive business excellence. We are seeking a forward-thinking Senior Technical Program Manager to join the FD&E Platform team. You will help build and scale the platform (shared services, safety and compliance guardrails, evaluation and quality tooling, and telemetry) and deliver AI powered applications (copilots, agents, and automations) that streamline end-to-end Finance workflows, from intake and assessment to deployment and support. You will collaborate across engineering, data, and business stakeholders to identify high-impact opportunities, prioritize investments, and deliver measurable outcomes through responsible and strategic AI integration. At FD&E, we foster a culture of customer centricity, innovation, agility, and transparency, and we are building a team that is ready to help Microsoft chart its next chapter in AI driven business excellence. The Senior Technical Program Manager is a member of the FD&E Platform team. The position bridges cross-functional programs across FD&E Platform, Finance, Frontier Finance, product teams, and central Microsoft partners, ensuring optimal end-to-end solutions, driving simplification, and increasing productivity. This is a critical role as we respond to a changing business and regulatory environment, enable consistency in tools, processes, and governance, and invest in future-state technology to transform the organization. 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. This role follows a hybrid work model, requiring on-site presence at our Redmond campus three days a week.
Locations
- Redmond, Washington, United States, Redmond, Washington, United States
Salary
Salary not disclosed
Required Qualifications
- Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product developmentOR equivalent experience. (degree)
- OR equivalent experience. (degree)
- 2+ years of experience managing cross-functional and/or cross-team projects. (degree)
- Experience building platform services on Azure or another major cloud using AI technologies. Examples include Azure OpenAI Service, Azure AI Studio, Azure Machine Learning, Azure Functions, or Kubernetes. (degree)
- Experience with data analytics technologies, including Azure Data Explorer, SQL, data extraction, transformation, and loading (ETL), machine learning (ML), Power BI, and semantic data models such as Microsoft Fabric OneLake. (degree)
- Hands on familiarity with AI copilots and agents, retrieval grounded generation, secure connectors and tools, and evaluation for groundedness, quality, and safety. (degree)
- Ability to lead through ambiguity while partnering across organizations, with a demonstrated ability to come up to speed quickly on new technical domains. (degree)
- Experience using data to drive prioritization and measure progress, including objectives and key results (OKRs), key performance indicators (KPIs), experimentation, and telemetry. (degree)
- Experience managing multiple concurrent projects in a fast paced environment with global stakeholders. (degree)
- Proven collaboration and communication skills, verbal and written, including executive ready storytelling and clear decision and risk communication. (degree)
Responsibilities
- Build, ship, and operate common platform capabilities. Examples include prompt orchestration and versioning, retrieval grounded generation adapters, secure tool and skill catalogs, model routing, Responsible AI guardrails, evaluation, observability, and telemetry. Define service level objectives (SLOs), service level indicators (SLIs), runbooks, incident response, and balance quality, latency, and cost.
- Deliver AI copilots, agents, and automations for Finance workflows, including financial planning and analysis, close and consolidation, revenue and margin analysis, spend governance, and compliance and controls. Partner with data platform teams to ensure trustworthy data and lineage across Microsoft Fabric OneLake, Azure Data Explorer (Kusto), SQL, and semantic models.
- Implement Responsible AI controls such as risk assessment, red teaming, personal data and toxicity filtering, role based access, auditability, and records retention. Ensure compliance by design and privacy preserving patterns for all services and experiences.
- Lead cross organization planning and delivery across multiple workstreams. Run the rhythm of business, manage dependencies, report status, and drive risk and decision forums. Capture Epics and Features with acceptance goals and success metrics. Engineering leads author user stories and technical designs.
- Instrument telemetry and experiments, including A/B testing and feature flags. Track adoption, groundedness and accuracy, time to completion, and cost per task. Use insights to iterate and improve.
- Prepare launches, training, documentation, and communications. Drive behavior change in Finance and scale awareness and uptake of platform services.
- Engage Finance stakeholders, subject matter experts, engineering and product teams, and industry partners. Evaluate emerging technologies and bring actionable recommendations into product solutions.
- Champion a culture of learning and growth, encouraging experimentation, reflection, and adaptation in all aspects of the rhythm of business.
- Stay current on best practices in business operations, program management, and communications, and promote new ideas and approaches.
- Mentor and support colleagues in their career development, contributing to a thriving, purpose driven organization.
Travel Requirements
3 days / week in-office
