Principal Technical Program Manager - Copilot AI at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Privacy, User Trust, Project Management, Data Analysis, Product Development, Cross-Functional Collaboration, Machine Learning, Software Development, Data Science, Dashboard Creation, Vendor Management, Mentoring, Data-Driven Insights, Product Feedback, Operational Stability, Process Design

Industry

Software Development

Description

Are passionate about deeply aligning with Data Privacy and User Trust. Are keenly aware and able to manage timelines and schedules of mission critical launches. Take the initiative and enjoy building world-class consumer experiences and products in a highly collaborative, fast-paced environment. Bring an abundance of positive energy, empathy, and kindness, in addition to being highly effective. Effectively manage multiple responsibilities and can adjust to shifting priorities. Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 3+ years of experience managing cross-functional and/or cross-team projects. 3+ years of experience in managing projects directly involved with data and privacy with both internal and external stakeholders in a global setup. Experience in coordinating ML-powered products. Technical depth in software development, data science and machine learning. Able to build dashboards, execute queries, reason over large amounts of data, and speak the language of the engineers, product and compliance teams you work with. Product feedback life cycle: Manage, coordinate and execute end-to-end data life cycle across multiple platforms, ensuring our platforms are meeting the highest standards of privacy, regulations and quality. Coordinate Cross-Team Collaboration: Work closely with engineering, data science, and product stakeholders to align on goals, track deliverables, and communicate status updates effectively. Leverage Data & Insights: Collaborate with analytics teams to define key success metrics, correlate improvements to usage, and influence roadmaps based on data-driven insights. Foster a Growth Mindset: Mentor team members, Manage vendor resources, share best practices, and cultivate a culture where everyone feels empowered to innovate, learn, and grow. Apply Technical Expertise: Dive deep into product and system architecture to better understand root causes, shape solutions, and drive high-impact improvements with engineering partners Drive Scalable Solution: Design repeatable processes and frameworks that scale with product complexity and organizational growth, ensuring operational stability and continues improvement Embody our Culture and Values.

Responsibilities

Manage and coordinate the end-to-end data life cycle across multiple platforms, ensuring compliance with privacy standards. Collaborate with engineering, data science, and product stakeholders to track deliverables and communicate updates effectively.