JAGGAER

Data Scientist

• 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

Architect, Data Scientist, Data & AI

AI Research Scientist

• Rapidly build proof-of-concepts integrating Java-based backends, frontends, and LLM/AI tooling
• Experiment with agentic AI frameworks (LangGraph, AutoGen, CrewAI, LangChain) to validate novel enterprise use cases
• Architect scalable APIs and services in Java (Spring Boot, Micronaut, or Quarkus)
• Model and optimize SQL/NoSQL data structures for embeddings, vector search, and AI-driven workflows
• Develop intuitive UIs in React, Angular, or Vue to test agent-based interactions
• Partner with architects and ML engineers to assess emerging frameworks and productionize the best candidates
• Translate architectural hypotheses into working code, providing evidence for future platform direction
• Work directly with the CDAO innovation team to shape the future of enterprise AI

Architect, Full Stack, Agentic AI Research & Prototyping

Accounting Manager

• Responsible for timely monthly close of the General Ledger, consolidation and reporting of financial results
• Coordinate audits and ensure compliance with GAAP in management reporting and GL accounting
• Oversee accounts payable, T&E, payroll functions, foreign currency, debt reporting, transfer pricing, balance sheet account reconciliations
• Debt reporting – review and categorize below EBITDA expenses for management and debt reporting
• Transfer Pricing – approve and update the US management fee and manage cash repatriation process
• Monitor global compliance with account reconciliations and mentor controllers outside the US on best practices
• Research and track GAAP to IFRS differences where it impacts Jaggaer
• Track and reconcile debt, including hedge entries
• Book purchase accounting entries and assist with M&A accounting as opportunities arise
• Oversee Accounting Manager responsible for Accounts Payable and approve exceptions to payment processes
• Manage staff in various roles related to accounting areas and drive continuous improvement

Senior Manager, Accounting

• Data & Feature Engineering: Build scalable ingestion, ETL/ELT, and feature store pipelines across OpenSearch, Snowflake, Redshift, and Redis.
• Design semantic layers and vector indexes (Pinecone, OpenSearch) that power retrieval augmented generation (RAG) and Agentic AI workflows.
• Model Development & Experimentation: Prototype, train, and evaluate predictive, prescriptive, and generative models in Amazon SageMaker (plus open source frameworks).
• Implement automated A/B tests and champion/challenger experiments; translate findings into product requirements.
• ML / LLM Ops: Own CI/CD, monitoring, drift detection, and scalable inference for classical ML and LLM pipelines.
• Package models and agents into reusable micro services with Terraform / Docker / Kubernetes.
• Agentic Platform Integration: Orchestrate multi-agent task flows (LangGraph, CrewAI, or equivalent) that call JAGGAER and third-party APIs.
• Collaborate with front-end teams to embed real-time analytics and AI insights into customer-facing apps.
• Insight Generation & Storytelling: Diagnose customer data issues; deliver visual analyses (Tableau, Superset, Streamlit, or R/Python) for executives and non-technical stakeholders.
• Champion data-driven decision making across Product, Services, and Go to Market teams.

Architect, Data Scientist, Data & AI

Architect, Full Stack, Agentic AI Research & Prototyping

Senior Manager, Accounting

Architect, Data Scientist, Data & AI Team