Customer Experience Program Manager, AI Enabled Analysis

Overview

Microsoft is a company where passionate innovators collaborate, envision what can be, and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

Microsoft’s Azure Data engineering team leads the transformation of analytics with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. Our portfolio includes Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

About The CAT Programs And Research Team

The CAT Programs and Research team partners closely with product teams to help Microsoft build the right solutions—and build them well—by bringing deep customer insight into the product development process. We work across multiple customer advisory programs and research efforts to synthesize feedback at scale and translate it into actionable insights that inform product strategy and execution.

Role Overview

We are looking for a highly motivated individual who combines strong technical aptitude with a customer‑first and research‑oriented mindset. This Customer Experience Program Manager, AI Enabled Analysis role will focus on helping the team scale how we make sense of customer feedback, apply AI capabilities to accelerate insight generation, and independently explore problem areas surfaced by our customer communities.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Responsibilities

• Apply AI and technical capabilities to customer feedback analysis: Evaluate how customer feedback is collected across multiple programs and communities and apply AI‑driven approaches to synthesize insights more quickly and at greater scale. Help ensure we are not leaving valuable customer signal untapped.
• Drive problem‑first, customer‑centric discovery: Approach ambiguous problem spaces with curiosity and discipline, spending time understanding customer needs, patterns, and pain points before jumping to solutions. Embrace deep problem exploration to enable thoughtful, high‑impact outcomes.
• Conduct independent, lightweight research initiatives: Identify recurring issues raised by customer communities that may not be prioritized by central research teams, and independently run targeted, informal research to better understand the problem space. Translate findings into clear insights that can inform product teams and leadership.
• Collaborate across product and program stakeholders: Work closely with program managers, researchers, and product teams to ensure insights are aligned with business goals and can be effectively acted upon.

Embody our culture and values

Qualifications

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• 3+ years of advanced technical and statistical methods, including applied data science and AI-enabled analysis using Fabric, Databricks, Snowflake or related technologies.
• 3+ years working with structured or unstructured data in an enterprise environment.

Preferred/Additional Qualifications

• Master's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 8+ years experience in engineering, product/technical program management, data analysis, or product development OR Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 12+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• Passion for learning new technologies and understanding the needs of diverse users.
• Curious, data driven, and able to self-start in a dynamic, rapidly evolving environment.

Key skills/competency

• Customer Feedback Analysis
• AI-driven Insights
• Data Science
• Program Management
• Product Development Lifecycle
• Azure Data Platform
• Microsoft Fabric
• Power BI
• Data Integration
• Problem Discovery