About The Role

Key Responsibilities

Design and architect AI-enhanced solutions integrating SAP data, external cloud data sources (e.g., Google BigQuery, Amazon Redshift), and local file-based inputs
Lead development of automation tools and bots using Generative AI (e.g., Amazon Bedrock, custom GPTs, Amazon Lex) to interact with APIs, databases, and back-end systems for real-time data processing and response
Collaborate with functional and business teams to gather requirements, define logic, and modularize business processes for AI-assisted code generation
Develop intelligent frontend tools using Python, VBA, and Excel to streamline and automate business workflows
Build, test, and deploy predictive models using machine learning and statistical techniques (forecasting, regression, simulation, etc.)
Define and maintain coding standards, Git-based repositories, and CI/CD pipelines for AI and automation development
Monitor and troubleshoot solution performance across SAP and non-SAP environments; ensure high availability and scalability
Drive innovation by applying AI and cloud services to modernize business processes such as Order-to-Cash (OTC) and Procure-to-Pay (P2P)
Oversee development of reusable code modules and AI frameworks; mentor junior Python developers
Ensure secure and efficient integration of AI services with AWS, SAP systems, and third-party applications
Maintain thorough documentation of design decisions, architecture, and processes
Stay updated on evolving AI tools, LLMs, and cloud platforms to continually improve solution capability

Area of Focus

Python and VBA-based development for business process automation
SAP integration (data extraction, update via APIs or file-based interfaces)
AWS Services: Lambda, Bedrock, Lex, and others
Generative AI-based development and automation
Cloud data platforms: Google BigQuery, Amazon Redshift
Excel dashboards, macros, and Python-based UIs
Git-based version control and CI/CD workflows
Advanced debugging, logging, and performance optimization
Development of prediction and statistical models
Bi-directional data flow design between SAC, BW, SAP, and external systems

Qualifications

Education

Required: Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related field
Preferred: Master’s Degree in Artificial Intelligence, Machine Learning, or equivalent

Experience

Minimum 3 years of strong hands-on experience in Python and VBA development
Minimum 1 year of experience using Generative AI tools to automate coding and workflow design
Proven experience developing and integrating solutions with business applications (data read/write, process automation)
At least 1 year of experience working with cloud platforms (AWS, GCP, or Azure), including developing Lambda functions, APIs, or microservices
Solid background in machine learning, data analytics, forecasting, regression, and simulation techniques
Experience with SQL, Python data libraries (e.g., Pandas, NumPy, scikit-learn), and cloud databases
Knowledge of chatbot development and AI-based API interaction (e.g., Amazon Lex, Bedrock, OpenAI APIs)
Experience with GitHub/GitLab, DevOps tools, and implementation of CI/CD pipelines
Strong analytical, debugging, and architectural skills

Experience collaborating in agile, cross-functional, and distributed teams

Movado Group, Inc. is an equal opportunity employer. It prohibits discrimination based on age, color, disability, marital or parental status, national origin, race, religion, sex, sexual orientation, gender identity, veteran status or any other legally protected status in accordance with applicable federal, state and local laws.