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Product Manager

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Job Title: Product Manager
Location: Seattle, WA
Duration: Long Term Contract

Responsibilities
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.
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.
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.
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.
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.
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.
Strong understanding of Google Cloud Platform services, data management principles, data governance, and data analytics (Dataplex, Dataproc, BigQuery, Spanner, Pub/Sub, Looker & Vertex AI) or equal competitive products from Databricks, AWS (S3, Data Lake, Redshift etc.) or Microsoft Fabric.
Strong domain expertise in cloud-based data systems and real-time data processing a significant plus, along with experience in exploratory data analysis from complex and high-dimensional datasets to produce innovative solutions for business partners.
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

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