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

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

Position at LHH (Global)

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% travel
• English (additional languages a plus)

• 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, oversee, and build and deploy 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.

• 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 business decisions.
• Ensure ethical and responsible data practices through transparent model design and data oversight.
• Ensure the integrity, validity, reliability, accuracy, and compliance of all people data and reporting.
• Translate complex data into clear, actionable insights for internal and external stakeholders.
• Lead automation and process improvements to streamline analytics and reporting.

• Collaborate with Practice Leads, Product, and Marketing to ensure applied technology initiatives align with organizational goals.
• Facilitate partnerships within business lines, technology providers, and research bodies to advance innovation.
• Translate complex data and AI insights into actionable business strategies, compelling narratives for clients.

• Partner with Technology/IT teams to ensure best practice design, adoption and compliance.
• Provide expert guidance on the integration of AI into human capital and workforce design and implementation.
• Develop playbooks, frameworks, dashboards for aggregated client analysis, and reference architectures for analytics and AI adoption across practices.
• Train internal teams on applied technology and data tools, ensuring understanding of data‑driven methodologies.
• Provide alignment across practice areas and build efficiency through shared technology solutions and use cases.
• As required, contribute to business development and participate in client meetings as required.

• 10+ years of experience in applied technology, people and data science, AI research, or technology strategy within HR, talent, or professional services environments.
• Demonstrated success in leading analytics or AI implementation initiatives that transform business insights and performance.
• Deep understanding of data modeling, machine learning frameworks, and analytics tool ecosystems (e.g., Power BI, Tableau, Azure
  
  ML, or equivalent).
• Experience evaluating and integrating AI‑enabled solutions into enterprise workflows.
• Strong analytical and…