Data & AI Manager

We're Hiring: Data & AI Manager in Industry fashion / textile and apparel manufacturing & export industry.

Open people from India

Working Day -Moday To Friday 8.00am-5.00pm

Paid in USD

Location: India (On site)

We are looking for a strategic and hands-on Data & AI Manager to lead enterprise-level data and AI transformation initiatives for a leading apparel manufacturing company in India. This is a senior leadership role for a professional who is passionate about building a data-driven organization and implementing AI solutions at scale.

This role is ideal for someone who can combine strategy with execution, drive innovation, and deliver measurable business impact through data and AI.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or related field.

• Minimum 12 years of experience in data management, analytics, and AI/ML

• Least 5 years in leadership roles.

• Proven track record in delivering enterprise-scale data and AI solutions.

• Strong knowledge of modern data stacks (e.g., Azure, Snowflake, Databricks, Power BI).

• Excellent communication, stakeholder management, and strategic thinking skills.

• Certifications in cloud platforms (Azure, AWS, GCP) and AI/ML frameworks are a plus.

Key Responsibilities

• Define and implement enterprise data strategy, governance frameworks, and data quality standards.
• Oversee data architecture, data lake/warehouse design, and integration with ERP and BI platforms (e.g., SAP S/4HANA, SAC, other data sources).
• Lead the development and deployment of AI/ML models for forecasting, risk management, and operational optimization
• Drive initiatives such as digital twins, AI-powered bots and predictive analytics for procurement, finance, and supply chain.
• Manage cross-functional data and AI programs, ensuring alignment with strategic goals and timely delivery.
• Collaborate with IT, business improvement, and factory teams across Hong Kong, Bangladesh, and India.
• Build and mentor a high-performing team of data scientists, engineers, and analysts.
• Act as a trusted advisor to senior leadership, translating business needs into data-driven solutions.
• Evaluate emerging technologies (e.g., generative AI, NLP, RPA) and drive their adoption.
• Promote a culture of experimentation, agility, and continuous learning.

Join us and be part of a transformation journey where data and AI drive the future!

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