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Director of Research and Applied Technology

https://www.lhh.com/ Logo

LHH

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Location:
United Kingdom, London

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Category:
Consulting

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Contract Type:
Employment contract

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Salary:

Not provided

Job Description:

The HR & Talent Advisory Practice at LHH is a newly launched strategic consulting arm focused on Leadership, Culture, Organizational Design, and Change. This Practice engages earlier in the client journey to shape leadership and culture proactively, serving as a strategic differentiator for LHH. The Director of Research and Applied Technology is a senior leader who establishes and advances LHH’s applied analytics and AI capabilities to support the HR & Talent Advisory business. Responsibilities include identifying next-generation technologies, developing AI agents, and providing actionable insights through data science. The role requires collaboration across teams and external partnerships, emphasizing innovation, applied research, and knowledge management.

Job Responsibility:

  • define and execute the applied technology roadmap supporting HR & Talent Advisory, including the configuration and implementation of analytic tools, platforms, and AI systems
  • establish and oversee the build and deployment of an AI agent 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 data science solutions into existing and new HR advisory offerings
  • develop frameworks for data acquisition, governance, and integration across consulting practices
  • 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 AI practices through transparent model design and data integrity oversight
  • collaborate with Practice Leads, Product, and Marketing to ensure applied technology initiatives align with organizational goals
  • facilitate partnerships within the Adecco network and LHH ecosystem, technology providers, and research bodies to advance innovation
  • translate complex data and AI insights into actionable business strategies and compelling narratives for clients
  • develop playbooks, frameworks, dashboards for aggregated client analysis, and reference architectures for analytics and AI adoption across practices
  • train internal teams on applied technology tools, ensuring understanding of data-driven methodologies
  • provide alignment across practice areas and build efficiency through shared technology solutions and use cases
  • contribute to business development and participate in client meetings as required.

Requirements:

  • 10+ years of experience in applied 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 modelling, 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
  • PhD in Data Science, Artificial Intelligence, Computer Science, or a related quantitative discipline preferred
  • master’s degree with significant applied AI experience may be considered.

Nice to have:

  • additional languages
  • experience with LLMs and applied AI
What we offer:
  • flexible working model
  • private medical insurance (PMI)
  • group personal pension plan
  • career support for family and friends
  • 25 working days paid holiday with the opportunity to buy extra days off each year

Additional Information:

Job Posted:
October 17, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:
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