Senior Product Manager

Senior Product Manager - Data and AI PlatformContract (Potential of Extension)Seattle, WAOur retail client's data and AI Platform Product team is seeking an experienced Senior Product Manager to lead our Data Product Hub and Data Democratization initiatives.Our client has established itself as a 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 to customers. They believe in the democratization of data, making it accessible and actionable for everyone in the organization. Join the 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 focus on identifying, defining, and addressing the needs and pain points across all data user archetypes within the organization. You will be responsible for defining and executing the product strategy, driving the development of data platform tools, standards, governance, and infrastructure that ensure 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 serve both batch-centric and real-time event-streaming service needs for users and enterprise applications. You will actively partner with Gen-AI agents, assistants, and orchestrators, maintaining an active test-and-learn experimentation pipeline in collaboration with numerous internal stakeholders across Data Engineering, Data Science, Data Governance, Analytics, and BIE teams, as well as all spectrums of data users, including business users and leaders.The ideal candidate will have a proven track record of defining product vision and strategy on foundational data delivery products with excellent customer research, journey mapping, hypothesis and opportunity mapping, and problem definition skills. Success in this role requires a strong collaborator with demonstrable experience in building strong relationships with a wide cross-functional set of stakeholders and commanding leadership presence to bring the best solutions to customers. Collaboration is key to bringing great ideas to life!Key Responsibilities:Product Strategy and Vision:Develop and articulate a clear vision and strategy for the Data Product Hub.Champion data democratization efforts to ensure data is accessible, understandable, and actionable for all users.Stay up to date with industry trends and best practices in data management and product development.Stakeholder Collaboration:Collaborate with cross-functional teams, including Insights Delivery, Business Intelligence, Data Science, DevOps, and key data user personas across all functions such as Digital, Customer, Marketing, Merchandising, 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.Develop policies and best practices for metadata management, data usage, and sharing.User Education and Enablement:Drive initiatives to improve data literacy across the organization, including training programs and self-service tools.Advocate for intuitive user interfaces and experiences that enhance data accessibility.Performance Monitoring and Reporting:Establish key performance indicators (KPIs) to measure the success and impact of data democratization efforts.Regularly report on progress and outcomes to senior leadership.Qualifications:Bachelor's degree in Computer Science, Engineering, Business, or a related field; MBA or advanced degree preferred.5+ years of experience in product management, with a focus on data products or data platforms.2+ years of direct product ownership and proven track record of successfully launching and managing data products.Strong foundational knowledge of data engineering, including data warehousing, managing, and analyzing data, SQL, critical thinking, and basic understanding of Machine Learning.Strong understanding of data management principles, data governance, and data analytics.Familiarity with GCP services and competitive products (e.g., Dataplex, Dataproc, BigQuery, Spanner, PubSub, Looker, Vertex AI, or similar tools from Databricks, AWS, Microsoft Fabric, etc.).Strong domain expertise in cloud-based data systems and real-time data processing, plus experience in exploratory data analysis from complex and high-dimensional datasets.Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.Analytical mindset with a passion for leveraging data to drive business outcomes.Experience with agile methodologies and product management tools.

Created: 2024-10-25