Amphenol · 23 hours ago
Manager - Data Analytics and AI Engineering
Wallingford, CT
Full-time
Hybrid
Mid, Senior Level
5+ years expAmphenol is a leading manufacturer of interconnect products, known for its innovative solutions in various markets. They are seeking a Data Analytics & AI Engineering Manager to modernize audit processes through data and machine learning pipelines, ensuring the effective deployment of ML models and development of advanced retrieval solutions.
Manufacturing
Responsibilities
Design and implement scalable analytics and ML pipelines on Databricks for audit use cases (e.g., journal entry analysis, control testing, PBCs)
Develop, validate and productionize ML models for anomaly detection, classification, risk scoring, and predictive analytics; ensure reproducibility, versioning and monitoring
Architect and deliver secure RAG (retrieval-augmented generation) solutions and vector-based retrieval layers for sensitive audit documents
Design and implement LLM-driven applications and multi-agent workflows to automate triage, evidence aggregation, summarization and related audit tasks
Define and maintain data product contracts; collaborate with data platform and integration teams to ensure datasets are fit for model training and serving
Implement model governance controls including validation, bias detection, explainability, drift monitoring and performance tracking
Produce operational dashboards and visualizations (Power BI / Tableau) that translate model outputs into actionable audit information
Document designs, deliver technical handoffs and conduct knowledge transfers with audit stakeholders while ensuring traceability and auditability of automated solutions
Qualification
Required
Bachelor's Degree in data Analytics, Computer Science, Information Systems, Accounting Information Systems, or a related field
Minimum 5 years' professional experience in data science, ML engineering or applied analytics with production deployments
Proficiency in Python (including pandas, numpy) and common ML frameworks (scikit-learn, PyTorch or TensorFlow)
Experience with experiment and metadata tracking tools (MLflow or equivalent)
Demonstrated experience building LLM-based applications (RAG pipelines, embeddings/vector search, prompt engineering)
Familiarity with agent orchestration concepts or frameworks for coordinating multiple models/tools
Strong SQL and data modeling skills; ability to translate audit requirements into analytic designs
Experience operationalizing models (serving, monitoring, drift detection, retraining workflows)
Preferred
Experience in internal audit, risk management, or compliance functions
Practical experience with Databricks / Spark (notebooks, jobs, ML pipelines)
Familiarity with audit testing methodologies or audit management software
Experience with data visualization tools (Power BI, Tableau, Qlik, etc.)
Exposure to ETL tools, APIs, or cloud-based data platforms
Knowledge of process mining or continuous auditing techniques
Effective collaboration and communication skills, with a proven ability to work with interdisciplinary teams
Strategic thinker with a proactive approach to fraud risk assessment and process optimization
Commitment to upholding data integrity, confidentiality, and ethical standards in all forensic and data-driven activities
Company
Amphenol
Amphenol is one of the largest manufacturers on the planet you’ve never heard of.
10001+ employees
H1B Sponsorship
Amphenol has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (4)
2021 (1)
Funding
Current Stage
Late StageLeadership Team
Zachary Raley
President/SVP/Advisor to CEO
Craig Lampo
Sr VP and Chief Financial Officer
Company data provided by crunchbase