Enterprise AI Strategy & Transformation Partner

Tiger Analytics; Chicago (IL); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Significant career development opportunities

Challenging and entrepreneurial work environment

Job summary

A leading analytics firm is seeking an experienced AI Tech Partner to lead enterprise-scale AI and data transformation initiatives. The role requires 18+ years of expertise in AI and data science, as well as strong programming skills in Python and SQL. You will be responsible for defining AI strategy and mentoring high-performing teams. This position offers significant career development in a fast-paced, entrepreneurial environment.

Qualifications

• 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.
• Strong programming skills in Python and SQL, with experience in distributed data processing.

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.
• Mentor senior talent and build high-performing AI and data teams.

Skills

AI

Data Science

Machine Learning

Statistical Modeling

Python

SQL

Data Engineering

Education

Advanced degree in Computer Science, Data Science, Statistics or related field

Tools

TensorFlow

PyTorch

Apache Spark

Databricks

Snowflake

BigQuery

MLflow

Kubeflow

Airflow

Job description

A leading analytics firm is seeking an experienced AI Tech Partner to lead enterprise-scale AI and data transformation initiatives. The role requires 18+ years of expertise in AI and data science, as well as strong programming skills in Python and SQL. You will be responsible for defining AI strategy and mentoring high-performing teams. This position offers significant career development in a fast-paced, entrepreneurial environment.