Senior Product Manager – Data and AI Platform

Pay Rate : $68 - $72 / Hour

Duties :

• Data and AI Platform Product team is seeking an experienced Senior Product Manager to lead our Data Product Hub and Data Democratization initiatives.
• Established itself as the leader in the fashion retail industry and is looking to continue its successful growth by unlocking the power of data to drive innovation and deliver exceptional value tour customers. We believe in the democratization of data, making it accessible and actionable for everyone in the organization. Join us in our mission to build a robust Data Product Hub that empowers teams across the company to discover and self-service their data needs for strategic decision-making at-scale.
• As a Senior Product Manager for Data Democratization, you will obsess over identifying, defining, and addressing the needs and pain points across all data user archetypes within. You will be responsible for defining and executing the product strategy, driving the development of data platform tools, standards, governance, infrastructure that ensures data accessibility and usability across the organization.
• Your data democratization platform will deliver a simple centralized technology-agnostic ingress and usability. Your product roadmap will keep pace with industry leading technology and AI capabilities that services batch-centric and real-time event-streaming service needs or both users and enterprise applications. You will actively partner with Gen-AI agents, assistants, orchestrators and maintain an active test-and-learn experimentation pipeline in collaboration with numerous internal stakeholders across Data Engineering, Data Science, Data Governance stakeholders, Analytics and BIE teams and all spectrum of data users including business users and leaders.
• The ideal candidate will have a proven track record of defining product vision, strategy on foundational data delivery products with excellent customer research, journey mapping, hypothesis and opportunity mapping, problem definition skills. Success, in this role will need a strong collaborator with demonstrable experience in building strong relationships with a very wide cross-functional set of stakeholders and commanding leadership presence who can bring the best solutions tour customers. Collaboration is the key to bringing great ideas to life!

Key Responsibilities :

Product Strategy and Vision :

Stakeholder Collaboration :

Collaborate with cross-functional teams, including Insights Delivery, Business Intelligence teams, Data Science, Dev Ops, as well as with key data user personas across all functional teams including Digital, Customer, Marketing, Merchandizing, Finance, Supply Chain, HR, and Store Operations, to understand their data needs and challenges.

Foster strong relationships with stakeholders to drive alignment and support for data initiatives.

Product Development :

Lead the development and enhancement of the Data Product Hub, ensuring it meets user needs and supports strategic goals. Drive the end-to-end product lifecycle, from ideation to launch and ongoing optimization.

Prioritize features and improvements based on user feedback, business impact, and technical feasibility.

Data Governance and Security :

Work closely with data governance and security teams to ensure data integrity, compliance, and security are maintained.

Develop policies and best practices for meta-data management, data usage and sharing.

User Education and Enablement :

Qualifications :