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The Director of Research and Applied Technology is a senior leader responsible for establishing and advancing LHH’s applied analytics and AI capabilities to support the HR & Talent Advisory business. This role combines data science expertise with strategic technology enablement to identify, evaluate, and implement next-generation analytic tools, platforms, and AI solutions.
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 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
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:
Medical, dental, vision, term life and AD&D insurance
Short-term and long-term disability
Additional voluntary benefits
Commuter benefits
Wellness plans
401k plan or a non-qualified deferred compensation plan
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