Design and run research projects from scoping through analysis and insight generation, using mixed methods including surveys, interviews, experiments, and behavioral data analysis
Develop and validate measurement instruments (scales, surveys, indices) with appropriate reliability and validity testing
Apply rigorous quantitative methods—regression, multilevel models, factor analysis, experimental and quasi-experimental designs—to understand how AI and digital tools impact work outcomes
Document methods, assumptions, and limitations transparently using reproducible, open approaches
Explore how AI, automation, and digital ecosystems change jobs, skills, workflows, collaboration patterns, and team dynamics
Analyze datasets including surveys, people analytics, collaboration data, and product usage data to generate evidence-backed insights
Partner with engineering, product, and architecture teams to define what to measure, how to instrument systems, and how to evaluate impact
Separate meaningful effects from hype using robust research design and critical analysis
Build clear, executive-ready data visualizations and dashboards using Power BI or Python/R libraries that enable leaders to monitor workforce and AI-related metrics
Apply best practices in psychometrics, data storytelling, and visual design so insights are interpretable and actionable for non-technical audiences
Develop client-ready deliverables including white papers, executive briefings, and implementation frameworks that balance analytical rigor with clear business recommendations
Develop executive briefs, slide narratives, and client one-pagers tailored to senior stakeholders
Lead project workstreams within client engagements, facilitating workshops, and building client confidence in research-driven recommendations
Mentor junior researchers and analysts, coaching them in research design, coding, analytics, visualization, and stakeholder engagement
Contribute to shared research assets such as survey libraries, scale repositories, analysis templates, and visualization standards
Foster a collaborative and growth-oriented culture where strong ideas are debated constructively

Requirements

PhD strongly preferred, or Master’s degree, in Industrial Organizational Psychology, Organizational Behavior, Data Science, Quantitative Social Science, or a closely related field that combines people research and advanced analytics.
3+ years of applied research experience in industry, technology, consulting, or a similar environment conducting data-intensive, multi-stakeholder studies
Proven ability to design and deliver workforce or organization-focused research using mixed methods (quantitative and qualitative)
Experience working with or alongside technology and product teams, ideally with exposure to AI-enabled tools or digital collaboration environments
Proven ability to work under ambiguity and time pressure while maintaining methodological integrity with comfort presenting to and being challenged by senior executives or clients
Consulting, client-facing, or applied research experience strongly preferred
Portfolio of research outputs such as reports, white papers, or analytical articles demonstrating depth and clear storytelling
Ability to present complex findings to non-research audiences, including senior leaders and clients
Strong stakeholder management skills—you build trust and collaborate across disciplines.

Benefits

Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications)
Real-time access to technical and skilled resources globally
Dedicated career advisor to encourage your growth
Engaged and helpful co-workers genuinely interested in you

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

quantitative methodsregressionmultilevel modelsfactor analysisexperimental designquasi-experimental designdata analysispsychometricsdata visualizationdata storytelling

Soft Skills

stakeholder managementcollaborationmentoringcommunicationproject managementcritical analysisadaptabilityclient engagementfacilitationexecutive presentation

Certifications

PhDMaster’s degree