Senior Regional Data & AI Engineer

Menarini Biotech S.r.l.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Menarini Asia-Pacific Pte. Ltd. seeks a Senior Regional Data & AI Engineer to design, build, and maintain a robust data foundation across APAC.

You will lead data pipelines from ERP/CRM systems, develop data models, and deploy AI algorithms to optimize commercial performance while ensuring privacy and governance. You will collaborate with cross-functional teams to unify data sources across sales, marketing, and supply chain, driving insights for customer experience and growth.

Qualifications

• 3+ years of data engineering experience with ingestion, transformation, modeling.
• Experience integrating diverse data sources across cloud and on-premise environments.
• Strong SQL, data warehousing concepts, and programming in Python and R.
• Ability to process datasets in Mandarin and interact with Chinese markets.
• Excellent communication to translate complex technical concepts to non-technical stakeholders.
• Agile mindset with ability to manage concurrent projects in a fast-paced environment.
• Attention to data accuracy, rigorous testing, and documentation.

Responsibilities

• Lead data engineering initiatives using agile frameworks and manage backlogs.
• Design, develop, and scale end-to-end data pipelines from ERP/CRM, supply chain, ecommerce APIs into centralized cloud/on-premise systems.
• Own data solutions and monitor pipeline reliability and uptime.
• Create and manage regional master data (products, customers, suppliers, inventory) and assist market teams with data migration.
• Develop data models to support forecasting, customer segmentation, pricing optimization, and consolidation strategies.
• Design and deploy AI models in production environments with data privacy and governance.
• Build a unique customer identifier across omnichannel touchpoints and a data catalog for commercial teams.
• Identify new data sources and consolidation opportunities to reduce subscriptions and improve intelligence.
• Collaborate with Corporate to align regional data initiatives with business objectives.

Skills

Data engineering

SQL proficiency

Python

R programming

Data modeling

API integration

Data warehousing

Mandarin data

Education

Bachelor's degree in Business Analytics/Data Science/Statistics/Mathematics

Tools

AWS

GCP

Azure

ERP/CRM systems

Omnichannel platforms

Job description

## Senior Regional Data & AI EngineerApply: Singapore, Singapore: Full time: Posted Today: JR100105**Company:**0302 A. Menarini Asia-Pacific Pte. Ltd.**Contract Type:**Permanent **Join us in shaping the future of Menarini - with passion, integrity, and a deep commitment to people.**About Menarini Group - Menarini is a leading international biopharmaceutical company committed to advancing health through innovation, research, and quality. For more than 135 years, we have worked to improve patients’ lives across a broad range of therapeutic areas through our dedication to science, integrity, and care for people. With a strong foundation in scientific excellence and a purpose-driven culture, Menarini offers diverse career opportunities for professionals eager to make a meaningful impact on global health.**About the Role:**Are you ready to transform complex data into actionable insights that drive commercial growth and operational excellence? We are seeking a Senior Regional Data and AI Engineer to proactively design, develop, and maintain a robust data foundation across the APAC region. In this highly impactful role, you will independently build data pipelines, develop data models, and deploy AI algorithms to optimize commercial performance and efficiency. Working closely with cross-functional and corporate teams, you will harness diverse data sources—including sales, marketing, supply chain, customer, and omnichannel data—to define the future of our customer experience and overall business success. **Key Responsibilities:*** Lead data engineering initiatives using agile frameworks, effectively managing backlogs and adapting to evolving commercial demands.* Design, develop, and scale end-to-end data pipelines to extract, transform, and load data from ERP, CRM, supply chain systems, e-commerce APIs, and omnichannel platforms into centralized cloud and on-premise systems.* Take full ownership of data solutions, proactively monitoring and troubleshooting pipeline failures to ensure data reliability and uptime.* Create and manage regional master data (products, customers, suppliers, inventory) to ensure consistency, including direct assistance to market teams (e.g., China) for master data migration initiatives.* Develop robust data models to support sales forecasting, customer segmentation, pricing optimization, and data consolidation strategies.* Design, develop, and deploy AI models into production environments on-premise while addressing strict data privacy, security, and governance requirements.* Develop a strategy to establish a unique customer identifier across all omnichannel touchpoints and build a comprehensive data catalogue for commercial teams.* Identify new data sources and consolidation opportunities to reduce redundant subscriptions and enhance commercial intelligence.* Collaborate with the Corporate team to align regional data initiatives with overarching commercial objectives and best practices. **What You Bring:*** Bachelor's degree in Business Analytics, Data Science, Statistics, Mathematics, or a related field.* At least 3 years of data engineering experience (ingestion, transformation, modeling) with a strong focus on integrating diverse data sources across cloud (AWS, GCP, Azure) and on-premise environments.* Strong proficiency in SQL, data warehousing concepts, and programming languages (Python, R) for data manipulation, API integration, and model development.* Ability to process datasets in the Mandarin language and effectively interact with Chinese markets.* Exceptional communication skills with the ability to clearly translate complex technical concepts and data insights for non-technical business stakeholders.* An innovative, agile mindset with a proven ability to manage concurrent projects in an ambiguous, fast-paced environment.* Meticulous attention to detail, strong problem-solving skills, and a commitment to data accuracy, rigorous testing, and clear technical documentation.* *Preferred*: Knowledge of supply chain management principles and experience with pharmaceutical industry data and regulations.