Tiger Analytics

AI Tech Partner

Tiger Analytics

full-time

Posted on:

Location Type: Hybrid

Location: Jersey City • Illinois • New Jersey • United States

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Job Level

SeniorLead

Tech Stack

AirflowAWSAzureBigQueryCloudETLGoogle Cloud PlatformPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

  • 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**
  • ***Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.***
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AImachine learningdata sciencedata engineeringstatistical modelingoptimizationdata modelingETLELTGenerative AI
Soft Skills
strategic leadershipexecutive communicationtechnical problem-solvingclient relationship managementbusiness developmentmentoringcross-functional team leadershipinnovation mindsetbridging business and technical teamsthought leadership
Certifications
advanced degree in Computer Scienceadvanced degree in Data Scienceadvanced degree in Statistics