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Director of Research and Applied Technology

https://www.lhh.com/ Logo

LHH

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Location:
United States, New York

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Category:
Consulting

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Contract Type:
Employment contract

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Salary:

150000.00 - 220000.00 USD / Year

Job Description:

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
  • Personal Time Off (PTO)
  • Paid Holidays
  • Up to 6 weeks of Paid Parental Leave.

Additional Information:

Job Posted:
October 17, 2025

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