Senior AI/ML Tech Partner for Enterprise Transformations

Tiger Analytics Inc.

Dallas (TX)

On-site

USD 300,000 - 400,000

Full time

14 days+

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Job summary

Tiger Analytics, a leading analytics consulting firm, seeks an AI Tech Partner with 18+ years of experience to lead enterprise-scale AI and data transformation initiatives. You will blend deep technical expertise with strategic business leadership to drive innovation, build scalable ecosystems, and deliver measurable value across client engagements.

In this role you will act as a trusted advisor to executives, shape AI strategy, oversee end-to-end delivery, and mentor cross-functional teams

Qualifications

18+ years of experience in AI, data science, analytics, or data engineering with consulting background
Proven track record of leading large-scale AI and data transformation programs
Deep expertise in machine learning, statistical modeling, optimization, and AI frameworks (TensorFlow, PyTorch, scikit-learn)
Strong programming skills in Python and SQL, with distributed data processing (Spark)
Extensive experience with modern data platforms and tools (Databricks, Snowflake, BigQuery, dbt)
Expertise in cloud-native architectures across AWS, GCP, or Azure
Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow) and production deployments
Strong understanding of data modeling, ETL/ELT pipelines, and data governance
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
Experience with data privacy regulations (GDPR, HIPAA) and AI risk frameworks
Advanced degree in Computer Science, Data Science, Statistics, or related field

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
Collaborate with clients to deliver measurable business value
Stay updated on AI trends and emerging technologies