Director, Applied Technology & People Analytics- HR & Talent Advisory, LHH

The HR & Talent Advisory Practice at LHH is a newly launched strategic consulting arm focused on Leadership Talent & Culture, Organizational Transformation & Change and Workforce Strategy & Skills. It serves as a strategic differentiator for LHH, elevating the brand and deepening client relationships through high-touch, bespoke advisory services.

The Director of Applied Technology & People Analytics is a senior leader responsible for establishing and advancing LHH’s applied technology & people capabilities, including AI to support the HR & Talent Advisory business. This role combines people and data science expertise with strategic technology enablement to identify, evaluate, and implement next-generation analytic tools, platforms, and AI solutions.

• Reports to VP, Global Head of Workforce Strategy & Innovation

• Remote – North America (Eastern Region preferred) or UKI (London preferred)

• 10-20%

• English (additional languages are a plus)

Key Accountabilities

Strategic Technology & People Analytics

• Define and execute the applied technology and people analytics strategy and roadmap for the HR & Talent Advisory business, including analytic tools, platforms, and AI tools.
• Define and evolve Advisory technology and data strategy to ensure a modern, scalable, and impactful approach to tech and analytics.
• Work with Technology / IT to establish and oversee the build and deployment of AI agents to enhance client delivery, internal productivity, and advisory effectiveness.
• Identify and assess emerging technologies and tools in AI, machine learning, natural language processing, and data visualization to inform strategic investment decisions.
• Partner with cross-functional teams to integrate people analytics and data science solutions into existing and new HR advisory offerings.

Data Science & People Analytics

• Develop frameworks for data acquisition, governance, and integration across consulting practices including dashboards and reporting.
• Leverage data science methods, including predictive analytics, NLP, and

generative AI, to deliver insights that support client outcomes and b