Seema Waghulde
Analytics Engineering Manager @Vestiaire Collective
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WORK HISTORY
Analytics Engineering Manager @Vestiaire Collective
Paris, FR
Led a cross-functional Analytics Engineering team delivering data products across key commercial domains, ensuring alignment with strategic business objectives- Defined and implemented the organization’s SSOT strategy as a core data product, standardizing metric governance and enabling enterprise-wide data consistency- Scaled and governed the self-service analytics capability, increasing adoption and empowering business teams with trusted, actionable insights- Identified and validated AI integration opportunities through structured POCs and tool benchmarking, contributing to AI-assisted analytics workflows- Built a high-performing team culture focused on scalable design, quality review, and continuous capability development.
EDUCATION
B.N Bandodkar College of Science
H.S.C, Science
EPITA: Ecole d'Ingénieurs en Informatique
Masters, Information Systems Management
University of Mumbai
Bachelor of Engineering (BE), Electronics Engineering
SKILLS
ABOUT SEEMA WAGHULDE
I’m a Senior Data Product & Analytics Leader with 10+ years of experience transforming data capabilities into scalable, high-impact products across IT and e-commerce environments. I specialize in data strategy, metric governance, and self-service analytics, enabling organizations to move from fragmented reporting to trusted, adoption-driven data ecosystems.My background spans analytics engineering, customer insights, and data product ownership, giving me an end-to-end perspective on the data lifecycle — from translating business needs into structured data models to operationalizing solutions that drive measurable commercial impact.I actively explore and implement AI-enabled analytics use cases, contributing to proof-of-concepts and evolving team workflows toward design-led, AI-assisted delivery. Passionate about building high-performing teams and elevating data literacy, I combine hands-on technical depth with strategic thinking to deliver reliable, business-aligned data products.
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