Manager - Data Analytics & Governance

Manager ‐ Data Analytics and Governance

(Based at Battaramulla)

MAS is Sri Lanka’s largest exporter and South Asia’s largest design-to-delivery solution providers in apparel and textile manufacturing. With a global community of 100,000, today, MAS spans across 13 countries with its portfolio expanding into wearable technology, FemTech, logistics and fabric parks worldwide. Over three decades, MAS has gained global recognition for its ethical and sustainable working environment as well as its impeccable craftsmanship and product excellence.

We are looking for an active team player, to enable enterprise-wide visibility, accuracy, and analytical insights across the supply chain by consolidating divisional data, managing digital tools, and running advanced analytics. The role supports strategic and operational decision-making through governance of data systems, performance dashboards, and intelligence frameworks spanning procurement, logistics, sustainability, and supplier ecosystems.

Key Responsibilities:

• Digital infrastructure management, ensuring integration and adoption of analytics tools, dashboards, and databases across supply chain functions.
• Maintain data governance frameworks and controls to ensure accuracy, completeness, and compliance in supply chain reporting.
• Manage and update enterprise-level material master data and spend cube, ensuring accurate categorization, pricing, and usage tracking.
• Run advanced analytics to generate actionable insights for cost optimization, sourcing strategy, supplier performance, and market dynamics.
• Conduct market intelligence analytics, tracking key input indices such as global yarn prices, freight costs, and commodity trends for sourcing teams.
• Consolidate and benchmark KPIs across divisions, enabling enterprise-level comparison and reporting (e.g., Supplier Scorecards, Procurement KPIs).
• Support design and automation of performance dashboards to improve visibility on cost, lead time, sustainability, and logistics metrics.
• Consolidate and validate divisional data inputs for enterprise supply chain reporting, ensuring alignment with corporate data definitions.
• Partner with category, procurement, and logistics teams to translate business requirements into data models and decision-support insights.
• Provide analytical support for strategic projects, such as category strategy reviews, supplier rationalization, and cost-to-serve analysis.
• Track and report on enterprise-level supply chain performance, highlighting risks, variances, and improvement opportunities.
• Generate regular reports and insights on spend, supplier performance, and material price movements to support strategic sourcing and procurement planning.
• Collaborate with IT and Digital teams to maintain analytical systems, support upgrades, and ensure user adoption across functions.
• Conduct ad-hoc data analyses (e.g., cost trends, supplier reliability, regional sourcing mix) to inform enterprise decision-making.
• Support benchmarking exercises across divisions by consolidating, normalizing, and analyzing divisional performance data.
• Monitor market data (e.g., commodity indices, trade trends) to assist in developing category-level market intelligence.
• Ensure strict compliance with data governance protocols and enterprise data quality standards.
• Ensure that data governance frameworks and controls in place are adhered, to ensure accuracy, completeness, and compliance in supply chain reporting.
• Run advanced analytics to generate actionable insights for cost optimization, sourcing strategy, supplier performance, and market dynamics.
• Conduct supply chain market intelligence analytics, tracking key input indices such as global yarn prices, freight costs, and commodity trends for sourcing teams.
• Consolidate and benchmark supply chain KPIs across divisions, enabling comparisons and reporting (e.g., Supplier Scorecards, Procurement KPIs).
• Provide analytical support for strategic projects, such as category strategy reviews, supplier rationalization, and cost-to-serve analysis.
• Track and report on supply chain performance at an enterprise level, highlighting risks, variances, and improvement opportunities.
• Generate regular analytical insights on spend, supplier performance, and material price movements to support strategic sourcing and procurement planning.
• Collaborate with group technology teams to maintain analytical systems, support upgrades, and ensure user adoption across functions.
• Conduct ad-hoc data analyses (e.g., cost trends, supplier reliability, regional sourcing mix) to inform enterprise decision-making.
• Monitor supply chain market drivers (e.g., commodity indices, trade trends) to assist in developing category-level market intelligence.

Skills and Qualifications:

• Bachelor’s degree in supply chain, Data Analytics, Engineering or Business Administration
• 6+ years’ experience in analytics, reporting, or data management within supply chain or manufacturing organizations.
• Working knowledge of ERP systems (SAP, Oracle, or equivalent) and BI tools preferred. 

• Exposure to large-scale data consolidation and performance benchmarking.