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Skills
Amazon Web Services (AWS)unmatched
Artificial Intelligence (AI)unmatched
C-Level Managementunmatched
Channel Strategiesunmatched
Cloud Computingunmatched
Consultingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Improvementunmatched
Continuous Integrationunmatched
Cross-Functionalunmatched
Data Analysisunmatched
Data Modelingunmatched
Data Scienceunmatched
Ecosystemsunmatched
Forecastingunmatched
GCP (Good Clinical Practices)unmatched
Leadershipunmatched
Machine Learningunmatched
Market Researchunmatched
Mentoringunmatched
Microsoft Windows Azureunmatched
Natural Language Processing (NLP)unmatched
Pre-Salesunmatched
Privacy Regulationsunmatched
Regulatory Complianceunmatched
Sales Prospectingunmatched
Scalable System Developmentunmatched
Solution Salesunmatched
Team Lead/Managerunmatched
Technical Strategyunmatched
Thought Leadershipunmatched
Use Casesunmatched
Description
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, has recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate about working on unstructured business problems that can be solved using data and are excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.
We are seeking a highly experienced AI Tech Partner with 18+ years of experience to lead enterprise-scale AI and data transformation initiatives. This role blends deep technical expertise with strategic business leadership to drive innovation, build scalable AI ecosystems, and deliver measurable business value across client engagements.
Responsibilities
Act as a trusted advisor to C-level stakeholders, defining AI strategy, roadmaps, and transformation initiatives aligned to business goals
Lead end-to-end delivery of AI/ML solutions, from data discovery and modeling to deployment, monitoring, and continuous improvement
Architect and implement scalable data platforms (lakehouse, data mesh) and AI ecosystems leveraging cloud technologies (AWS, GCP, Azure)
Drive advanced analytics, machine learning, and GenAI use cases, including NLP, forecasting, optimization, and recommendation systems
Establish and scale MLOps practices, including CI/CD pipelines, model governance, observability, and lifecycle management
Translate complex business requirements into technical specifications, including data models, STTM, and transformation logic
Lead large, cross-functional teams across data engineering, data science, and analytics
Ensure responsible AI practices, including model explainability, fairness, privacy, and regulatory compliance
Identify new business opportunities, contribute to pre-sales, solutioning, and thought leadership
Mentor senior talent and build high-performing AI and data teams