Principal Technical Program Manager, Analytics - Microsoft AI

• Metrics Access, Accuracy & Operational Stewardship

• Work across Bing Multimedia to ensure clear, consistent access to key metrics, including product performance, quality, usage, and business outcomes.
• Partner with product, engineering, and data teams to ensure metrics are accurate, up-to-date, and surfaced in the appropriate dashboards and reporting tools.
• Act as a steward for metric quality by proactively identifying data inconsistencies, gaps, or anomalies, and working with the appropriate owners to resolve issues before they impact decision-making or leadership reporting.
• Ensure leadership can trust the data presented by driving consistency, clarity, and rigor across dashboards, reports, and business reviews.

• Analytical Problem Solving & Insight Enablement

• Ask the right questions when data does not look correct or align with expectations, and lead efforts to understand why-including root-cause analysis across data pipelines, definitions, or upstream systems.
• Translate complex or ambiguous data issues into clear problem statements, working collaboratively with teams to diagnose and address underlying causes.
• Enable high-quality insight generation by ensuring metrics and datasets are reliable, well-understood, and fit for purpose.
• Synthesize data into clear, decision-ready insights, helping leaders understand not just what the data shows, but why it matters.

• Opportunity Identification & Business Impact

• Use metrics and analysis to identify trends, risks, and opportunities across Bing Multimedia.
• Partner with product, engineering and business leaders to align on priorities and drive action based on insights surfaced through data.
• Ensure insights lead to follow-through and measurable business impact, not just reporting.

• AI-Enabled Tooling, Automation & Workflow Improvement

• Leverage AI-enabled tools to operationalize and scale analytics, reporting, and insight generation.
• Build or prototype internal applications, agents, or automated processes that improve metric accessibility, streamline workflows, and reduce manual effort.
• Continuously identify opportunities to improve the quality, speed, and reliability of analysis and reporting through automation and AI-assisted workflows.

• Technical Program Leadership & Cross-Organizational Execution

• Lead technically complex, cross-organizational initiatives related to metrics, reporting, and analytics enablement.
• Drive alignment in ambiguous problem spaces by clearly communicating goals, success criteria, dependencies, and risks.
• Influence without authority through solid communication, judgment, and collaboration, ensuring issues are surfaced early and addressed effectively.

• Vendor & Partner Collaboration

• Manage a set of external vendors to support metrics, analytics, reporting, or tooling efforts as appropriate.
• Provide clear direction and context to vendors, ensuring their work meets internal quality standards and integrates seamlessly with existing dashboards and workflows.
• Monitor and validate vendor outputs to ensure accuracy, reliability, and alignment with business needs.

• 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., * Bachelor's Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development

• OR equivalent experience.

• Proven experience leading complex, cross-functional technical programs that delivered measurable product, quality, or business impact.
• Demonstrated ability to perform hands-on data analysis, working directly with raw datasets to derive insights, identify issues, and inform decision-making.
• Experience working across teams to define, evolve, validate, and operationalize metrics, datasets, and measurement frameworks, ensuring accuracy and readiness for leadership reporting.
• Solid technical foundation with the ability to engage deeply on data pipelines, system design, and AI-enabled tooling, sufficient to diagnose issues and drive resolution with partner teams.
• Track record of influencing senior product and engineering leaders through clear communication, sound judgment, and data-grounded problem solving.
• Experience using AI-enabled developer tools to build or operationalize analytics, reporting, or workflow automation (e.g., internal tools, lightweight applications, or agent-based processes).
• Advanced proficiency in SQL and experience using Python, R, or similar tools for analysis, automation, or data validation.
• Experience building or contributing to internal business applications, dashboards, or analytics tools used for operational or executive decision-making.
• Background working with data platforms, analytics systems, or AI-enabled tools in a product or business environment.
• Experience supporting executive-level business rhythms, such as weekly reviews, quarterly planning, and annual road-mapping.
• Hands-on experience building or prototyping internal tools, workflows, or agents using modern AI platforms or frameworks.
• Familiarity with agent-based architectures and protocols (e.g., multi-agent workflows, Model Context Protocols) and how they can be applied to automate analysis or operational processes.
• Experience working in developer environments such as Visual Studio Code and GitHub, including AI-assisted workflows (e.g., GitHub Copilot or similar tools).

#MicrosoftAI

Technical Program Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

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