> Markdown version of [/jobs/ext/2025736-principal-technical-program-manager-trust](https://www.wearedevelopers.com/jobs/ext/2025736-principal-technical-program-manager-trust). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Technical Program Manager- Trust - **Company:** Microsoft - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Data Governance, Microsoft Security Essentials, Tokenization, Privacy Controls, Data Management - **Published:** August 11, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/principal-technical-program-manager-trust-usa-58892594 ## About the Role to decision frameworks, standards, playbooks, and certification processes to clarify and audit privacy requirements * Identify privacy risks across products and drive resolution with technical analysis and stakeholder alignment * Act as trusted advisor on high-impact privacy decisions, communicating options, tradeoffs, and regulatory implications Tasks * Bachelor's Degree in unknown field and 6+ years in engineering, TPM, data analysis, or product development OR equivalent * 3+ years of experience managing cross-functional or cross-team projects * Ability to meet Microsoft security background check requirements * Experience translating privacy, legal, or regulatory requirements into technical/operational needs * Experience with privacy engineering, data protection, or governance * Ability to communicate complex concepts to engineering, legal/privacy partners, and leadership * Knowledge of anonymization, de-identification, differential privacy, tokenization, synthetic data, or aaaaaaaaaaaaaa role ML (preferred) Key requirements * ## Description Experteer Overview In this role you lead strategic privacy and data-governance efforts across Microsoft Security, shaping how data is collected, accessed, used, and protected. You partner with engineering, legal, privacy, and business teams to turn complex requirements into practical guidance. You will drive privacy for AI initiatives and establish repeatable governance frameworks. You contribute to a culture of trust by balancing security innovation with responsible data use. Compensation / Benefits * Lead cross-organizational privacy and data-governance programs for Security products and data platforms * Define governance for data lifecycle: collection, access, use, sharing, retention, transformation, protection * Collaborate with engineering, research, legal, compliance, and business teams to translate data-use requirements into actionable guidance * Steer privacy and data governance for AI including model training, anonymization, de-identification, and differential privacy * Develop decision frameworks, standards, playbooks, and certification processes to clarify and audit privacy requirements * Identify privacy risks across products and drive resolution with technical analysis and stakeholder alignment * Act as trusted advisor on high-impact privacy decisions, communicating options, tradeoffs, and regulatory implications Tasks * Bachelor's Degree in unknown field and 6+ years in engineering, TPM, data analysis, or product development OR equivalent * 3+ years of experience managing cross-functional or cross-team projects * Ability to meet Microsoft security background check requirements * Experience translating privacy, legal, or regulatory requirements into technical/operational needs * Experience with privacy engineering, data protection, or governance * Ability to communicate complex concepts to engineering, legal/privacy partners, and leadership * Knowledge of anonymization, de-identification, differential privacy, tokenization, synthetic data, or privacy-preserving ML (preferred) Key requirements * ## Related Videos - [Responsible AI @ Microsoft - Governance, Standards, Learnings](https://www.wearedevelopers.com/videos/1544-responsible-ai-microsoft-governance-standards-learnings) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [When Value Becomes Programmable: A Developer's Guide to Tokenization](https://www.wearedevelopers.com/videos/100276-when-value-becomes-programmable-a-developer-s-guide-to-tokenization) - [From minutes to seconds: Lessons learned optimizing multi-turn agentic workflows](https://www.wearedevelopers.com/videos/2078-from-minutes-to-seconds-lessons-learned-optimizing-multi-turn-agentic-workflows) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 164: AI Agents, AI Blindspots and MCP security problems](https://www.wearedevelopers.com/magazine/578-dev-digest-164-ai-agents-ai-blindspots-and-mcp-security-problems) - [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing) - [Panel Discussion: Responsible AI in Practice - Real-World Examples and Challenges](https://www.wearedevelopers.com/magazine/488-panel-discussion-responsible-ai-in-practice-real-world-examples-and-challenges) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Dev Digest 210: AI Agents Are Go! 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