Job description

Overview Microsoft’s Audit, Risk and Compliance (ARC) organization is building data-driven capabilities to complement traditional assurance. The Common Controls Team (CCT) advances this mission through governed control testing, reliable evidence, and actionable insights, as it works toward full-population coverage of in-scope controls. The Technical Program Manager, Data Analytics , sits at the intersection of analytics, automation, and audit context. The role connects fragmented data sources, translates control requirements into repeatable analytical tests, and uses Python and Kusto/KQL to analyze control populations, validate results and produce traceable evidence. Beyond traditional reporting, you will build reusable automation and dependable reporting data that make testing more repeatable and reduce key-person dependence. Success means defensible evidence, clear insight into control signals and sustainable solutions, developed in partnership with audit, engineering, and program operations colleagues. At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone. Responsibilities • Analyze control populations with Kusto/KQL to identify exceptions, systemic patterns and signals that merit further investigation. • Develop and test analytical hypotheses iteratively; document assumptions, methods and limitations, and translate findings into actionable recommendations. • Connect disparate data sources through secure API (Application Programming Interface) and system integrations to support automated testing and reporting. • Assess data quality, completeness, and fitness for testing; reconcile populations and results, and partner with data owners to resolve or escalate gaps. • Build reusable Python automation that converts control requirements into reproducible tests and traceable, defensible evidence. • Maintain version-controlled testing and reporting pipelines in Azure DevOps, with clear runbooks and operational support for reliable repeat execution. • Translate validated results into reliable reporting datasets, dashboards and clear narratives that support monthly reporting and quarterly cybersecurity leadership insights. • Collaborate with audit, business, data engineering and program operations colleagues to refine tests, interpret signals, and support control improvements. • Apply Microsoft privacy, security, responsible AI (artificial intelligence), data classification and governance standards throughout analysis, integration and evidence handling. • Embody our culture and values Qualifications Required/minimum qualifications • Bachelor's Degree AND 2+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. • 1+ year(s) of experience managing cross-functional and/or cross-team projects. Additional or preferred qualifications • Bachelor's Degree AND 5+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience. • 4+ years of experience managing cross-functional and/or cross-team projects. • 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos). • 1+ year(s) of hands-on experience in data analytics, business intelligence, data science, or a related field — including experience analyzing datasets to answer business or research questions. • Proficiency in SQL or equivalent data querying language for extracting, joining, and transforming data from structured sources. • Demonstrated ability to interpret analytical outputs and translate findings into clear, audience-appropriate summaries or recommendations. • Solid problem-solving skills with a track record of approaching ambiguous or open-ended questions analytically. • Exposure to audit, risk management, internal controls, compliance operations, ethics and compliance programs, or financial operations — through prior roles, internships, or coursework. • Experience with Python, R, or another scripting/statistical language for analysis, data wrangling, or automation. • Experience building dashboards, visualizations, or self-service reporting tools (e.g., Power BI, Tableau, or equivalent). • Familiarity with large-scale data platforms or cloud environments (e.g., Azure Synapse, Databricks, Azure Data Lake, or equivalent). • Demonstrated ability to work effectively in ambiguous, exploratory environments with limited structure and evolving objectives. • Solid communication skills, specifically the ability to translate complex analytical findings into plain-language narratives for non-technical stakeholders. • Experience identifying patterns or signals in unstructured or cross-domain data; comfort with exploratory data analysis without predefined hypotheses. • Curiosity-driven mindset with a track record of independently identifying new questions or lines of inquiry from data. Technical Program Management IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Requirements

Must-haves

Analyze control populations with Kusto/KQL to identify exceptions, systemic patterns and signals that merit further investigation.
Develop and test analytical hypotheses iteratively; document assumptions, methods and limitations, and translate findings into actionable recommendations.
Connect disparate data sources through secure API (Application Programming Interface) and system integrations to support automated testing and reporting.
Assess data quality, completeness, and fitness for testing; reconcile populations and results, and partner with data owners to resolve or escalate gaps.
Build reusable Python automation that converts control requirements into reproducible tests and traceable, defensible evidence.
Maintain version-controlled testing and reporting pipelines in Azure DevOps, with clear runbooks and operational support for reliable repeat execution.
Translate validated results into reliable reporting datasets, dashboards and clear narratives that support monthly reporting and quarterly cybersecurity leadership insights.
Collaborate with audit, business, data engineering and program operations colleagues to refine tests, interpret signals, and support control improvements.
Apply Microsoft privacy, security, responsible AI (artificial intelligence), data classification and governance standards throughout analysis, integration and evidence handling.
Embody our culture and values
Required/minimum qualifications
Bachelor's Degree AND 2+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
1+ year(s) of experience managing cross-functional and/or cross-team projects.
Bachelor's Degree AND 5+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.
4+ years of experience managing cross-functional and/or cross-team projects.
1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
1+ year(s) of hands-on experience in data analytics, business intelligence, data science, or a related field — including experience analyzing datasets to answer business or research questions.
Proficiency in SQL or equivalent data querying language for extracting, joining, and transforming data from structured sources.
Demonstrated ability to interpret analytical outputs and translate findings into clear, audience-appropriate summaries or recommendations.
Solid problem-solving skills with a track record of approaching ambiguous or open-ended questions analytically.
Exposure to audit, risk management, internal controls, compliance operations, ethics and compliance programs, or financial operations — through prior roles, internships, or coursework.
Experience with Python, R, or another scripting/statistical language for analysis, data wrangling, or automation.
Experience building dashboards, visualizations, or self-service reporting tools (e.g., Power BI, Tableau, or equivalent).

Nice-to-haves

Additional or preferred qualifications

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonapiazureaisql

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