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 5 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 2 years 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.
Skills Required
- Bachelor's Degree in Computer Science, Engineering, Data Science, or related field
- Master's Degree in AI, Machine Learning, or equivalent
- Minimum 5 years hands-on experience in Python and VBA development
- Minimum 1 year experience using Generative AI tools for automation
- Proven experience developing and integrating solutions with business applications (data read/write, process automation)
- At least 2 years working with cloud platforms (AWS, GCP, or Azure) including Lambda, APIs, or microservices
- Solid background in machine learning, forecasting, regression, simulation, and data analytics
- Experience with SQL and Python data libraries (Pandas, NumPy, scikit-learn)
- Knowledge of chatbot development and AI-based API interaction (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, distributed teams
Movado Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Movado Group and has not been reviewed or approved by Movado Group.
-
Healthcare Strength — Core health coverage includes medical, dental, vision, life/AD&D, and short- and long‑term disability. Feedback suggests healthcare is considered decent, with premiums scaled by compensation bands.
-
Leave & Time Off Breadth — Paid time off and company‑paid holidays are included, alongside paid parental leave in multiple postings. This creates a conventional time‑off foundation for benefit‑eligible roles.
-
Wellbeing & Lifestyle Benefits — The package includes an employee assistance program, tuition reimbursement, legal plan, pet and critical‑illness insurance, and notable brand discounts/perks. Employee discounts are consistently praised and stand out as a distinctive perk.
Movado Group Insights
What We Do
Movado Group, a global leader in the watch industry, champions precision, innovation, and artistry. With a celebrated portfolio including Movado, EBEL, Concord, Olivia Burton, MVMT, Coach Watches, HUGO BOSS Watches, Lacoste Watches, Tommy Hilfiger Watches, and Calvin Klein Watches, we craft not only timepieces but also a variety of jewelry and fashion accessories. Our vibrant culture offers expansive career opportunities within an environment where sustainable growth is intertwined with a passion for the arts. Employees across the globe contribute to and grow with a company that values hands-on experience and professional development. Strategically positioned with offices and manufacturing facilities worldwide, and over 70 retail locations, Movado Group embraces the future with a commitment to excellence. We believe every second is an opportunity to advance, innovate, and weave creativity into the fabric of our already rich legacy.
