• Act as a trusted advisor on US privacy and AI laws, providing timely, pragmatic guidance to internal teams and engaging directly with customers to negotiate and explain data protection positions. • Lead and deliver privacy and AI compliance initiatives end-to-end, including assessments, data flow analysis, risk identification, and tracking actions through to completion. • Partner with Product, Engineering, Sales, and Legal to embed Privacy and AI by Design into data use, products, and services, ensuring compliance with evolving regulatory requirements. • Review, draft, and negotiate data protection provisions in customer and supplier contracts, balancing legal risk with commercial priorities. • Monitor and interpret new and emerging US privacy and AI legislation, rapidly translating requirements into clear, actionable business guidance. • Maintain and continuously improve compliance frameworks, processes, and documentation, including supporting internal and external audits and ensuring strong record-keeping. • Build strong relationships with stakeholders, while delivering training and awareness programmes to embed a culture of privacy and AI compliance across the organisation.

• Analyze and derive value from data through mathematics, statistics, and machine learning techniques. • Enable data-driven decision making by creating custom models or prototypes. • Coordinate with other teams to implement models and monitor results. • Develop data hypotheses and methods, train and evaluate analytics models. • Assist in establishing functional analytics methods and techniques.

• Advise clients on end-to-end solutions across data strategy, data management, and data quality. • Support business development, methodology development, team leadership, and delivery execution for data governance assessments and implementations. • Design and develop data governance technology solutions across data quality, data dictionaries, business glossaries, data standards, and data policies. • Define organizational design, governance processes, policies, roles, responsibilities, success metrics, and operating models for client data programs. • Build roadmaps covering technology, culture, governance, processes, skills, competencies, data quality, analytics, and data management maturity. • Lead and collaborate with data governance teams to create business cases, resource plans, implementation roadmaps, and enterprise data system assessments. • Assess current-state environments, identify client pain points and requirements, and help define a practical vision and strategy for becoming a data-driven organization. • Advise clients as a trusted partner and provide thought leadership on data governance, data management, cloud transformation, AI readiness, and related best practices. • Manage resources, budgets, project delivery, team development, training, mentoring, and performance assessment.

Role Description Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us! The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. - Work closely with customers’ engineers to jointly develop code for cloud-based solutions. - Collaborate with Microsoft product teams, partners, and open-source communities. - Develop solutions side-by-side with customers through collaborative innovation. - Drive high-impact engineering projects using AI and other cloud-based solutions. - Be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers. As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Responsibilities - Oversee data acquisition and ensure data is properly formatted and described. - Coach engineers in data cleaning and analysis best practices. - Identify gaps in current data sets and drive ethics and privacy discussions around data collection and preparation. - Evaluate team’s models and recommend improvements as necessary. - Drive best practices for models and develop operational models that run at scale. - Conduct thorough reviews of data analysis and modeling techniques. - Research and maintain a deep knowledge of the industry, including trends and technologies. - Write extensible code that spans multiple features. - Define business, customer, and solution strategy goals. - Commit to a customer-oriented focus by acknowledging their needs. Qualifications - Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience. - OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience. - OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience. - OR equivalent experience. Requirements - Microsoft Cloud Background Check: Required to pass upon hire/transfer and every two years thereafter. - Citizenship Verification: Requires verification of U.S. citizenship due to legal restrictions. Preferred Qualifications - The ability to obtain and maintain a United States Security Clearance. - Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience. - OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience. - OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience. - OR equivalent experience. Benefits - Base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. - Different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area is USD $188,000 - $304,200 per year. - Certain roles may be eligible for benefits and other compensation. Company Description 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.