Data Science
& Analytics
Specialized executive search for data science and analytics leaders. Connecting organizations with senior professionals across machine learning, artificial intelligence, business intelligence, data engineering, and advanced analytics.
Functional & Technical Expertise
Machine Learning & AIDeep Learning
Machine learning engineers and AI specialists building predictive models, neural networks, natural language processing, and computer vision systems.
- Chief AI Officers & VP of Machine Learning
- Head of ML Engineering
- Director of AI Research & Development
- NLP & Computer Vision Specialists
- MLOps & Model Deployment Leads
Data Engineering & InfrastructurePlatforms
Data engineering leaders building scalable data pipelines, cloud data platforms, and data lake/warehouse architectures for enterprise-scale analytics.
- VP of Data Engineering
- Head of Data Platform & Infrastructure
- Data Architecture Directors
- ETL/ELT Pipeline Engineering Leads
- Cloud Data Platform Specialists
Business Intelligence & VisualizationInsights
Business intelligence and analytics visualization experts building dashboards, reporting systems, and self-service analytics platforms.
- Head of Business Intelligence
- Director of Analytics & Insights
- Data Visualization & Reporting Leads
- BI Platform & Tools Specialists
- Self-Service Analytics Directors
Data Strategy & GovernanceLeadership
Data strategy and governance leaders defining enterprise data vision, data quality frameworks, and regulatory compliance standards.
- Chief Data Officers
- VP of Data Strategy & Analytics
- Head of Data Governance
- Data Quality & MDM Directors
- Data Privacy & Compliance Leads
Advanced Analytics & ModelingQuantitative
Quantitative analysts and advanced analytics specialists building statistical models, optimization algorithms, and predictive analytics solutions.
- Head of Advanced Analytics
- Director of Quantitative Analytics
- Predictive Modeling & Forecasting Leads
- Optimization & Operations Research Specialists
- Statistical Modeling Directors
Data Science Product & Applied AIInnovation
Data science product leaders building AI-powered features, recommendation systems, personalization engines, and intelligent automation.
- Head of Data Science
- Director of Applied AI & ML Products
- Recommendation Systems Specialists
- Personalization & Customer Analytics Leads
- AI Product Management Directors
Executive Placement Case Studies
Enterprise AI Transformation
Financial ServicesRegional bank implementing AI-driven credit decisioning, fraud detection, and customer personalization requiring ML infrastructure and model governance.
- Chief AI Officer - AI strategy, use case prioritization, and responsible AI framework
- Head of ML Engineering - Model development, training infrastructure, and MLOps
- Director of Data Science - Predictive modeling, risk analytics, and customer insights
- ML Platform Architect - Feature store, model registry, and deployment automation
Cloud Data Platform Build
E-commerceRegional e-commerce platform migrating to cloud data warehouse requiring modern data stack, real-time analytics, and customer 360 capabilities.
- VP of Data Engineering - Cloud migration strategy and data platform architecture
- Head of Data Platform - Snowflake/BigQuery implementation and data lake design
- Director of Analytics Engineering - dbt transformation pipelines and data modeling
- Data Infrastructure Lead - Streaming data pipelines and real-time processing
Analytics Center of Excellence
TelecomTelecommunications company establishing analytics COE requiring business intelligence, self-service analytics, and data literacy programs.
- Chief Data Officer - Enterprise data strategy and analytics transformation roadmap
- Head of Business Intelligence - BI platform modernization and reporting automation
- Director of Data Governance - Data quality framework and master data management
- Analytics Enablement Lead - Self-service tools and data literacy training
Recommendation Engine Development
Retail TechDigital marketplace building personalization and recommendation systems requiring ML expertise, A/B testing infrastructure, and real-time inference.
- Head of Data Science - Recommendation algorithms and personalization strategy
- Director of Applied ML - Collaborative filtering and deep learning models
- ML Infrastructure Engineer - Real-time model serving and feature engineering
- Experimentation Lead - A/B testing platform and causal inference
Market Intelligence & Trends
Generative AI Adoption
Large language models and generative AI transforming content creation, code generation, and customer interactions. Organizations racing to build LLM applications, prompt engineering capabilities, and AI governance frameworks.
Modern Data Stack
Cloud data warehouses, ELT pipelines, and metrics layers becoming standard infrastructure. dbt, Fivetran, and Looker adoption accelerating as organizations modernize analytics capabilities and enable self-service.
MLOps Maturity
Production ML systems requiring robust MLOps practices. Feature stores, model registries, monitoring, and automated retraining becoming critical for operationalizing machine learning at scale.
Data Mesh & Decentralization
Domain-oriented data ownership and data products paradigm gaining traction. Organizations moving from centralized data teams to federated data mesh architectures with platform-based enablement.
Compensation Benchmarks & Market Insights
Executive Search Process
Our methodology ensures comprehensive candidate evaluation and optimal placement outcomes.
Typical Timeline
- Role definition, market mapping and outreach: Week 1
- Screening, benchmarking and shortlisting: Weeks 2-3
- Client interviews, final selection and offer: Week 4
Key Differentiators
- Deep technical and domain expertise assessment
- Global network across data science communities
- Portfolio and technical evaluation capabilities
- Long-term placement success focus