Senior Specialist, People Analytics

The Senior Specialist, People Analytics will provide functional expertise in building, leading, and scaling the global People Reporting and Analytics capability, with a particular focus on AI solutioning, deployment, and adoption across reporting, dashboarding, and analytics workflows.

The role-holder will partner with People, Functional, and Technology leaders to translate business priorities into scalable, governed, and insight-driven solutions. The individual will lead the design and implementation of AI-enabled reporting and analytics use cases; and strengthens data, process, and operating model foundations to improve decision-making, stakeholder experience, and operational efficiency across the employee lifecycle.

Main responsibilities:

• Lead the solutioning, design, and deployment of scalable People reporting and analytics solutions, including dashboards, self-service reporting, automated insight delivery, and AI-enabled use cases across the employee lifecycle
• Partner with Talent Management, Recruitment, Careers and Performance, Leadership and Learning, Diversity and Inclusion, and other stakeholders to define priority business problems, shape solution roadmaps, and translate requirements into practical reporting, analytics, and AI deployment plans
• Act as a subject matter expert in People Reporting & Analytics, providing leadership on reporting architecture, data storytelling, analytical approaches, solution feasibility, and deployment readiness
• Lead end-to-end delivery of analytics and AI initiatives from discovery, requirements gathering, and prototyping through build, testing, deployment, adoption, and continuous improvement
• Design, develop, and enhance governed metrics, dashboards, data products, and reporting frameworks using relevant platforms and tools to improve scalability, consistency, and stakeholder self-service
• Identify and prioritize opportunities where AI, automation, and advanced analytics can improve reporting efficiency, insight generation, user experience, and decision support, and lead implementation in partnership with technology teams
• Collaborate closely with People Systems, Data Architects, Engineers, and technology partners to enable robust data pipelines, scalable reporting architecture, secure access models, and production-ready AI-enabled analytics solutions
• Drive stakeholder adoption of new reporting and AI-enabled solutions by delivering clear communications, training, user enablement, and change support that build confidence in data and digital ways of working
• Establish and maintain appropriate governance, documentation, metric definitions, testing approaches, and responsible AI practices to ensure quality, trust, compliance, and sustainability of analytics solutions
• Support the ongoing transformation of the People Reporting and Analytics capability by contributing to operating model design, process harmonization, capability building, and strategic roadmap execution
• Perform other responsibilities as assigned by the immediate manager from time to time

AI / transformation focus:

• Lead AI solutioning within People Reporting and Analytics by identifying high-value use cases, shaping business cases, and defining practical deployment approaches aligned to stakeholder needs and technology strategy
• Drive deployment of AI-enabled reporting and analytics solutions, including prototyping, user testing, implementation planning, rollout support, and measurement of adoption and business value
• Embed AI and automation into reporting and analytics workflows to reduce manual effort, improve speed to insight, and enhance how users consume and act on data
• Partner with People, Systems, Data, Risk, and Technology teams to ensure AI-enabled solutions are supported by strong data quality, governance, security, and scalable delivery models
• Promote responsible and sustainable AI adoption through clear guardrails, transparency, documentation, stakeholder education, and appropriate human oversight and judgement

Skills and Experience:

• Bachelor's degree (or equivalent) in Psychology, Behavioural Science, Applied Statistics, Social Sciences, Industrial Engineering, Data Analytics, Information Systems, Computer Science, or other relevant disciplines, or equivalent work experience.
• Significant relevant experience in people analytics, reporting, dashboard development, insight generation, and solution delivery, ideally within HR, People Analytics, or related analytical and transformation roles.
• Demonstrated experience leading the solutioning, implementation, and deployment of reporting, analytics, automation, or AI-enabled solutions in a business environment, including translating requirements into scalable products or services.
• Strong understanding of HR practices, employee lifecycle processes, people data structures, and HR systems, with the ability to connect business priorities to data, analytics, and AI solution opportunities.
• Advanced proficiency or practical knowledge in reporting, business intelligence, data transformation, automation, and analytics tools such as Power BI, Power Automate, Power Apps, MS Fabric, Tableau, Tableau Prep Builder, SQL, Python, R, SuccessFactors, Avature, and similar platforms.
• Practical experience with AI-enabled productivity, analytics, automation, or agent-building tools such as Copilot, Copilot Studio, Power Platform, or similar technologies, including use case design, prompt-driven workflows, or deployment support.
• Experience working with cross-functional teams such as HR, People Systems, Technology, Data Engineering, Architecture, Risk, or Change to deliver production-ready reporting and analytics solutions.
• Strong experience in requirements gathering, process analysis, process redesign, standardisation, testing, documentation, and change enablement, with the ability to support transformation and capability-building initiatives in a global or shared services environment.
• Experience developing governed metrics, dashboards, reporting frameworks, and documentation that improve consistency, scalability, adoption, and stakeholder self-service.
• Strong analytical, critical thinking, and problem-solving skills, with the ability to manage ambiguity, assess solution feasibility, and translate complex information into actionable recommendations.
• Excellent executive communication, facilitation, and presentation skills, including the ability to influence stakeholders, explain technical concepts clearly, and tell compelling stories with data.
• Good understanding of data privacy, data governance, model risk, and responsible AI principles relevant to people data, analytics, and AI-enabled solutions.
• Experience working in a multinational, professional services, captive, or shared services environment is preferred.
• Excellent English verbal and written communication skills.

About us

At Baker McKenzie we are different in the way we think, work and behave. With our team of 13,000 people, including over 6,500 locally admitted lawyers, in over 70 offices worldwide, we have a passionately collaborative community of 60 nationalities and are committed to world-class career development to everyone in every job at every level. Baker McKenzie can offer you both the uncompromising commitment to excellence expected of a top firm paired with a passionately global and genuinely collaborative working environment.

Additional Information

Baker McKenzie is an Equal Opportunity Employer. We are committed to promoting diversity and inclusion for all. Our unique international culture is reflected in the drawing together of a worldwide family of individuals from diverse cultures and backgrounds in all of our offices. We encourage the best people - regardless of race, religion or belief if any, gender, gender identity, disability, sexual orientation or age - to fulfill their professional aspirations with us. We are committed to ensuring an inclusive and accessible experience for all candidates.