18+ years of experience in AI, data science, analytics, or data engineering, preferably in consulting/services
Proven track record in leading large-scale AI and data transformation programs
Deep expertise in machine learning and AI frameworks like TensorFlow and PyTorch
Strong programming skills in Python and SQL, with distributed data processing experience
Extensive experience with modern data platforms such as Databricks and Snowflake
Hands-on experience with MLOps tools and production-grade deployments
Advanced degree in Computer Science, Data Science, Statistics, or related field
Responsibilities
Act as a trusted advisor to C-level stakeholders, defining AI strategy and transformation initiatives
Lead end-to-end delivery of AI/ML solutions from data discovery to deployment
Architect and implement scalable data platforms and AI ecosystems using cloud technologies
Drive advanced analytics and machine learning use cases, including NLP and optimization
Establish and scale MLOps practices, including CI/CD pipelines and model governance
Translate complex business requirements into technical specifications
Lead large, cross-functional teams across data engineering and analytics
Ensure responsible AI practices, including model explainability and regulatory compliance
Identify new business opportunities and contribute to pre-sales and thought leadership
Mentor senior talent and build high-performing AI and data teams
Benefits
Significant career development opportunities as the company grows
Unique opportunity to be part of a small, fast-growing, and entrepreneurial environment
High degree of individual responsibility in a challenging role
Full Job Description
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
Requirements
18+ years of experience in AI, data science, analytics, or data engineering, with significant consulting/services background
Proven track record of leading large-scale AI and data transformation programs for enterprise clients
Deep expertise in machine learning, statistical modeling, optimization, and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Strong programming skills in Python and SQL, with experience in distributed data processing (Spark)
Extensive experience with modern data platforms and tools (Databricks, Snowflake, BigQuery, dbt)
Expertise in cloud-native architectures and services across AWS, GCP, or Azure
Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow) and production-grade deployments
Strong understanding of data modeling, ETL/ELT pipelines, and data governance frameworks
Experience with Generative AI (LLMs, prompt engineering, RAG architectures, vector databases)
Industry agnostic experience in domains such as Retail, CPG, Insurance, Financial Services, Pharma & Life Science, SaaS, Manufacturing, Telecom, etc.
Experience with data privacy regulations (GDPR, HIPAA) and AI risk frameworks
Advanced degree in Computer Science, Data Science, Statistics, or related field
Key Competencies
Strategic leadership and executive communication
Deep technical problem-solving and architecture design
Client relationship management and business development
Ability to bridge business and technical teams effectively
Innovation mindset with a focus on scalable, reusable solutions
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility.
Disclaimer
About Tiger Analytics
Tiger Analytics is a consulting firm that provides data analytics consulting services to businesses. The company specializes in data science, machine learning, and artificial intelligence. Tiger Analytics helps businesses to leverage data to make better decisions, improve operations, and drive growth. The company has worked with clients in a variety of industries, including healthcare, retail, finance, and technology.
