About The Position

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)

Requirements

  • 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 analytic tool ecosystems (e.g., Power BI, Tableau, Azure ML, or equivalent).
  • Experience evaluating and integrating AI-enabled solutions into enterprise workflows.
  • Strong analytical and conceptual thinking, with ability to translate technical capabilities into business impact.
  • Exceptional communication skills to simplify complex concepts for executive and client audiences.
  • Commercially minded, with ability to identify value creation opportunities through technology enablement.
  • Collaborative, innovative, and comfortable in a fast-paced, evolving environment.
  • Proficient in Python, R, or other data science languages; experience with LLMs and applied AI preferred.

Nice To Haves

  • Advanced degree in Data Science, Artificial Intelligence, Computer Science, AI or a related quantitative discipline preferred.

Responsibilities

  • 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.
  • 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 and 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.

Benefits

  • Employees who opt into benefits as part of full-time employment include medical, dental, vision, term life and AD&D insurance, short-term and long-term disability, additional voluntary benefits, commuter benefits, wellness plans, and a 401k plan or a non-qualified deferred compensation plan.
  • Available paid leave includes Personal Time Off (PTO) on an accrual basis per year, Paid Holidays, and up to 6 weeks of Paid Parental Leave.
  • PTO and holiday hours are prorated based on hire date within the calendar year.
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