Data Analytics Manager

Manager Data Analytics and AI Engineering Connecticut, US

Our client, a global manufacturing company, is hiring a Manager for Data Analytics and AI Engineering to help modernize its Internal Audit function. This role focuses on building ML pipelines, deploying models, and creating LLM-driven solutions that enhance evidence gathering and risk assessment.

• Build scalable analytics and ML pipelines on Databricks for key audit activities
• Develop and deploy models for anomaly detection, risk scoring, and predictive analysis
• Create secure retrieval augmented generation solutions for sensitive audit material
• Build LLM applications and coordinated agent workflows that automate triage and summarization
• Produce dashboards in Power BI or Tableau that turn model outputs into clear insights
• Maintain data quality standards and implement governance controls, including validation, explainability, and drift monitoring

• Bachelor's Degree in Data Analytics, Computer Science, Information Systems, or a related field
• Five or more years of experience in data science, ML engineering, or applied analytics, including production model deployments
• Strong Python skills with experience using pandas, numpy, and ML frameworks such as scikit learn, PyTorch, or Tensor Flow
• Familiarity with experiment and metadata tracking tools such as MLflow
• Experience building LLM-based applications, including RAG pipelines, embeddings, vector search, and prompt engineering
• Understanding of agent orchestration concepts for coordinating multiple models or tools
• Strong SQL and data modeling capability with the ability to translate audit needs into analytic design
• Experience with operationalizing models, including serving, monitoring, and drift detection

If you want to shape the future of audit technology within a global manufacturing business, please apply.