Senior Executive - Divisional Lean Enterprise

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Senior Executive ‐ Divisional Lean Enterprise

(Based at Nawala)

The Activewear Value Stream delivers high-performance sportswear and athleisure solutions designed for technical functionality, durability and everyday versatility— serving sports, lifestyle and performance segments. With a strong focus on innovation, MAS is advancing wearable technology that tracks fitness and workout analytics while blending advanced sportswear with fashion and aesthetic appeal.

Operating across Sri Lanka, Jordan and Indonesia, and with development centres in Sri Lanka and Canada, Activewear serves a global customer base that includes Nike, lululemon, Patagonia, Ralph Lauren and Gymshark. The Activewear product range offers diverse solutions such as Knit, Fleece, Tees, Woven, Sweaters, Engineered Knit.

As a unified platform, the Activewear Value Stream combines global scale, speed and technical expertise, positioning MAS as a trusted partner for innovative, performance and lifestyle apparel.

Empower transformation by becoming a driving force of change at MAS. We are on the lookout for a dedicated individual to assist in our Divisional Lean Enterprise team.

Key Responsibilities:

  • Lead and coordinate strategic Lean Enterprise initiatives, including CMO Projects, META CI, NPI 2.0, Supplier Integration, and future transformation programs.

  • Facilitate cross functional collaboration among relevant departments.

  • Develop and maintain project documentation, status reports, dashboards, and executive level presentations.

  • Monitor project benefits realization and support the achievement of business objectives through measurable improvements.

  • Support governance forums, steering committee meetings, and leadership reviews through timely reporting and recommendations.

  • Collaborate with business leaders to identify future improvement opportunities and build transformation roadmaps aligned with organizational goals.

Knowledge and Skills:

  • Graduate in Statistics or Physical Science.
  • Basic knowledge on MS Power Platform, Digital Power BI, Power Autonomation.
  • Strong knowledge on MS office packages.
  • Strong communication skills both in English and Sinhala.