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. Role Highlights 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 Experience and Skills 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 TensorFlow 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. #J-18808-Ljbffr Apollo Solutions