To lead Knits/Winter Wear Sourcing of 5 Brands, with a team of 6 Senior team members.
Regular catch up with regional teams across India and Bangladesh.
Executes seasonal and long-term sourcing plans, utilizing knowledge of apparel sourcing to meet line financial, customer service, quality, aesthetic, safety and terms-of-engagement requirements.
Must be able to lead the brand along with the team to smoothly communicate capacity and price targets to meet line margin and delivery requirements.
Must be able to provide alternatives to merchandising/design teammates to meet commercial requirements at the most competitive cost. Identify and enable opportunities to leverage library of components, fits, and sources.
Would be involved in leading along with team product execution from sketch to delivery, including fabrication alternatives, garment engineering, sample management.
Develops, manages, and coaches a high-performing vendor team, ensuring current and future business needs are met. Should be a good leader to be able to guide the team on priority planning ensuring deadlines are still met.
Go To Market Accountability: Takes ownership for accurately tracking adoption rates, delivery of proto/shoot/catalogue/PP samples to meet required targets. Is accountable for driving team to meet GTM deadlines. Uses communication and negotiation skills to influence Design and buying/Merchandising partners to achieve GTM milestones.
Analyse and calculate costs of procurement and suggest methods to decrease expenditure.
Qualifications & Experience
12-15 years of proven work experience in Sourcing - Product Development.
Strong Negotiation & Convincing Skills.
Alumni of NIFT/similar collage will be preferred.
At Least 6-8 years of Experience in Ecommerce/ Retail Brand.
Familiarity with sourcing and vendor management and Knitscategory.
Able to handle the e-com style option scale and growth pace.
Understanding of market dynamics and sound business judgment.
Ability to negotiate and sustain networking relationships.
Comfortable with figures and in collecting, analysing and interpreting data.