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Open nowFirst seen 42 hours ago

AI Workforce Intelligence Architect

Dfbooking Recruitment Services134 open roles

Where
New York, New York, United States
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Your applicationOpen nowAI Workforce Intelligence ArchitectDfbooking Recruitment Services · New York, New York, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Dfbooking Recruitment Services's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: first seen 42 hours ago

The posting

We are seeking an experienced AI Workforce Intelligence Architect responsible for designing enterprise-wide workforce intelligence platforms that combine artificial intelligence, predictive analytics, labor market intelligence, organizational planning, and talent acquisition automation.

The successful candidate will build AI models capable of forecasting hiring demand, workforce supply, skills evolution, succession risks, compensation trends, and organizational capability gaps while integrating with enterprise HR systems including Workday, SAP SuccessFactors, Oracle HCM, Greenhouse, Bullhorn, and Daxtra.

This role sits at the intersection of Artificial Intelligence, HR Technology, Enterprise Architecture, Machine Learning, and Organizational Strategy.

Key Responsibilities

  • Design enterprise AI workforce intelligence platforms.
  • Develop predictive hiring and workforce forecasting models.
  • Architect large-scale HR data lakes.
  • Build workforce knowledge graphs.
  • Integrate AI with ATS and HRIS platforms.
  • Design semantic skills ontologies.
  • Create workforce digital twins.
  • Develop talent recommendation engines.
  • Lead AI governance initiatives.
  • Optimize recruiting operations using automation.
  • Collaborate with executive leadership.
  • Develop enterprise AI roadmaps.
  • Monitor labor market trends.
  • Design workforce planning dashboards.
  • Improve talent acquisition through predictive analytics.

Required Qualifications

  • Bachelor's in Computer Science, Data Science, Information Systems, Business Analytics, HR Technology, or related field.
  • Master's preferred.
  • 10+ years in Enterprise Architecture.
  • 8+ years in AI/ML.
  • 7+ years in HR Technology.
  • Experience designing enterprise data platforms.
  • Strong stakeholder management.
  • Experience with Fortune 500 environments.

Technical Skills

Artificial Intelligence

  • Machine Learning
  • Deep Learning
  • Generative AI
  • LLMs
  • RAG
  • Prompt Engineering
  • Reinforcement Learning

Programming

  • Python
  • SQL
  • Scala
  • Java

Cloud

  • AWS
  • Azure
  • Google Cloud

AI Platforms

  • Azure OpenAI
  • Vertex AI
  • Amazon Bedrock
  • LangChain
  • LlamaIndex

HR Technology

  • Workday
  • SAP SuccessFactors
  • Oracle HCM
  • UKG
  • ADP

ATS

  • Daxtra
  • Bullhorn
  • JobDiva
  • Greenhouse
  • Lever
  • Avionté
  • CEIPAL
  • iCIMS

BI

  • Power BI
  • Tableau
  • Looker

Databases

  • Snowflake
  • Databricks
  • PostgreSQL
  • Neo4j
  • Elasticsearch

Preferred Certifications

  • AWS Solutions Architect Professional
  • Microsoft Azure AI Engineer
  • Google Professional Machine Learning Engineer
  • TOGAF
  • PMP
  • SHRM-SCP

Soft Skills

  • Executive Communication
  • Leadership
  • Strategic Thinking
  • Innovation
  • Problem Solving
  • Cross-functional Collaboration
  • Presentation Skills
  • Stakeholder Management

Benefits

  • Medical
  • Dental
  • Vision
  • 401(k)
  • Annual Bonus
  • RSUs
  • Flexible PTO
  • Remote Work
  • Learning Budget
  • Home Office Allowance
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