Data Analytics Manager

Apollo Solutions; Connecticut; On-site; USD 120,000 - 150,000; Full time

Job summary

A global manufacturing company is seeking a Manager for Data Analytics and AI Engineering to modernize its Internal Audit function. The role involves building scalable ML pipelines, deploying models for anomaly detection, and creating LLM-driven solutions for improved risk assessment. Candidates should have at least five years of experience in data science or ML engineering and a Bachelor's degree in a related field. Strong Python and SQL skills are essential. This is an exciting opportunity to shape the future of audit technology in a well-established firm.

Qualifications

• Minimum five years of experience in data science, ML engineering, or applied analytics.
• Proficiency in using ML frameworks such as scikit learn, PyTorch, or TensorFlow.
• Ability to operationalize models, including monitoring and drift detection.

Responsibilities

• Build scalable analytics and ML pipelines for audit activities.
• Develop and deploy models for anomaly detection and predictive analysis.
• Produce dashboards that provide clear insights from model outputs.

Skills

Python

Machine Learning

Data Analytics

SQL

Data Modeling

Education

Bachelor's Degree in Data Analytics, Computer Science, or related field

Tools

Databricks

Power BI

Tableau

MLflow

scikit learn

PyTorch

TensorFlow

Job description

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.