At Victoria’s Secret & Co, you’ll join a world-leading specialty retail brand recognized globally for innovation and excellence in lingerie and fashion. You’ll work alongside industry leaders to set the standard for what a retail brand can achieve, placing customers at the center of everything we do to create products and experiences that bring them joy.
We believe everyone deserves a place where they truly belong. We celebrate individuality and know that your passion, experience, and unique perspective strengthen our team and business. Here, you’ll be empowered to perform, grow, and engage through unmatched opportunities to develop your skills, gain real-world experience, and learn from the best in the business.
Description
TITLE: Sr.Product Manager
LOCATION: Bangalore, India
POSITION SUMMARY:
The Sr.Product Manager supports all day-to-day facets (concept to delivery) of highly complex and integrated digital/interactive product delivery including creative, business, and technical requirements, product scoping, quality assurance, and compliance. This role drives day-to-day tactical execution of strategic initiatives.
ROLES AND RESPONSIBILITIES
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Own the product vision, roadmap, and execution for Product Information Management (PIM) and Master Data capabilities across the digital commerce ecosystem.
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Drive product discovery, define business requirements, and translate them into clear Product Requirement Documents (PRDs), user stories, and acceptance criteria.
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Lead end-to-end product delivery from ideation through launch, adoption, and continuous optimization.
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Partner closely with Engineering, Architecture, Data Science, Data Engineering, Analytics, Merchandising, and Operations teams to deliver scalable product data solutions.
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Own platform health by driving issue resolution, performing root cause analysis, and ensuring data integrity, platform reliability, and operational excellence.
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Define success metrics, monitor product performance, and leverage insights to drive continuous improvements.
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Work closely with AI and Data Science teams to define product requirements for LLM-powered capabilities, AI-driven automation, and intelligent product data enrichment.
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Collaborate with engineering teams to understand APIs, backend services, data models, integrations, and end-to-end product feed architecture to drive informed product decisions.
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Identify risks, dependencies, and technical trade-offs while proactively driving mitigation plans.
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Communicate product strategy, progress, risks, and outcomes effectively to stakeholders and executive leadership.
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Contribute to product management best practices and mentor junior product managers where applicable.
