Data Analytics Manager

Manager Data Analytics and AI EngineeringConnecticut, 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.Role HighlightsBuild scalable analytics and ML pipelines on Databricks for key audit activitiesDevelop and deploy models for anomaly detection, risk scoring, and predictive analysisCreate secure retrieval augmented generation solutions for sensitive audit materialBuild LLM applications and coordinated agent workflows that automate triage and summarizationProduce dashboards in Power BI or Tableau that turn model outputs into clear insightsMaintain data quality standards and implement governance controls, including validation, explainability, and drift monitoringExperience and Skills Bachelor's Degree in Data Analytics, Computer Science, Information Systems, or a related fieldFive or more years of experience in data science, ML engineering, or applied analytics, including production model deploymentsStrong Python skills with experience using pandas, numpy, and ML frameworks such as scikit learn, PyTorch, or TensorFlowFamiliarity with experiment and metadata tracking tools such as MLflowExperience building LLM-based applications, including RAG pipelines, embeddings, vector search, and prompt engineeringUnderstanding of agent orchestration concepts for coordinating multiple models or toolsStrong SQL and data modeling capability with the ability to translate audit needs into analytic designExperience with operationalizing models, including serving, monitoring, and drift detectionIf you want to shape the future of audit technology within a global manufacturing business, please apply.