Project Data Manager
ICON plc
Google Cloud Platform
Architect, Data Scientist, Data & AI
JAGGAER
full-time
Posted on:
Location Type: Remote
Location: Remote • North Carolina • 🇺🇸 United States
Visit company websiteJob Level
SeniorLead
Tech Stack
AirflowAmazon RedshiftAWSAzureCloudDockerERPETLGoogle Cloud PlatformIoTKubernetesLinuxMicroservicesOpen SourcePandasPySparkPythonPyTorchRedisScikit-LearnSQLTableauTensorflowTerraform
About the role
- Architect and optimize scalable ingestion, ETL/ELT, and featurestore pipelines across OpenSearch, Snowflake, Redshift, and Redis
- Design semantic layers and vector indexes (Pinecone, OpenSearch) to power RAG and Agentic AI workflows
- Prototype, train, and evaluate predictive, prescriptive, and generative models in SageMaker and open-source frameworks
- Implement experimentation pipelines (A/B, champion/challenger) and convert insights into platform features
- Own CI/CD, monitoring, drift detection, and scalable inference for ML and LLM pipelines
- Package models into reusable microservices with Terraform, Docker, and Kubernetes
- Orchestrate multi-agent workflows (LangGraph, CrewAI) integrating with JAGGAER and third-party APIs
- Partner with product and frontend teams to embed AI-driven insights into customer-facing applications
- Deliver executive-level insights and storytelling via Tableau, Superset, Streamlit, or R/Python
- Work inside the Chief Data & AI Office to influence next-generation Agentic AI architecture across the Source-to-Pay platform
Requirements
- Bachelor’s or Master’s in Computer Science, Statistics, Math, or Data Science
- 10+ years designing and deploying production-grade ML or data engineering solutions
- Proven mastery of Python (Pandas, PySpark, scikit-learn, TensorFlow/PyTorch) and SQL
- Deep experience with at least two enterprise platforms: OpenSearch, Snowflake, Redshift, Redis, Pinecone, SageMaker
- Strong grounding in statistical modeling, supervised/unsupervised ML, and evaluation metrics
- Fluency with Linux, Git, CI/CD, Docker, and orchestration frameworks (Airflow, Prefect, Kubeflow, or Dagster)
- Executive communication skills (brief senior leadership and board-level stakeholders)
- Preferred: hands-on LLM fine-tuning, RAG pipelines, advanced prompt engineering
- Preferred: Cloud deployment (AWS Bedrock, ECS/EKS, Azure, or GCP)
- Preferred: Familiarity with procurement, supply chain, ERP, or IoT sensor data
- Preferred: Contributions to open source, publications, or notable hackathon wins
Benefits
- exceptional medical, dental & vision plans
- adoption assistance
- wellness reimbursements
- generous parental leave
- 401(k) matching
- flexible work options
- unlimited vacation for exempt employees
- competitive compensation
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLETLELTstatistical modelingsupervised MLunsupervised MLA/B testingmicroservicesLLM fine-tuning
Soft skills
executive communicationstorytellingcollaborationinfluencing
Certifications
Bachelor’s in Computer ScienceMaster’s in Computer ScienceBachelor’s in StatisticsMaster’s in StatisticsBachelor’s in MathMaster’s in MathBachelor’s in Data ScienceMaster’s in Data Science
