Principal Data PdM - Sourcing and Inventory Management
Apply NowCompany: Gap
Location: San Francisco, CA 94112
Description:
About the Role
The Principal - Data PdM supporting Sourcing and Inventory Management, is a fantastic opportunity for someone looking for a transformational, challenging and collaborative role. This individual contributor role will partner with data engineers, analysts, business stakeholders, data scientists, and executives in defining the product roadmap to ensure data products deliver actionable insights, improve decision making, and realize business value.What You'll Do
Product Strategy & Roadmap:
Define and drive the vision, strategy, and roadmap for data and analytics products.
Align data product initiatives with business goals, customer needs, and market trends.
Prioritize features, data models, and analytics capabilities based on impact and feasibility.
Stakeholder Collaboration & Requirements Gathering:
Work closely with business leaders, data teams, and engineers to define data needs and use cases.
Translate business objectives into well-defined data product requirements and specifications.
Ensure alignment between data initiatives and enterprise-wide strategies.
Execution & Delivery:
Collaborate with data engineers, scientists, and analysts to design scalable data models and pipelines.
Define and track key success metrics (e.g., data quality, adoption, business impact).
Ensure smooth integration of data products with analytics tools, BI platforms, and downstream applications.
Data Governance & Quality:
Advocate for data accuracy, consistency, and governance across the organization.
Work with engineering and data governance teams to ensure data security, privacy, and regulatory compliance.
Analytics & Insights:
Drive the development of self-service analytics capabilities for business users.
Partner with data science teams to identify AI/ML opportunities for predictive and prescriptive analytics.
Foster a data-driven culture by enabling teams with accessible and actionable insights.
Who You Are
7-10 years' experience in in data product management, data analytics, or related roles.
Deep functional knowledge of Sourcing, Logistics, and Inventory Management (product to market) required.
Retail or similar industry experience preferred
Strong understanding of data architecture, data engineering, SQL, and cloud platforms (Azure, GCP).
Experience working with BI tools (Tableau, Power BI, Looker) and analytics platforms.
Ability to synthesize complex data needs into simple, scalable solutions.
Experience working in Agile/Scrum teams and using product management tools (JIRA, Confluence).
Exceptional communication skills- someone who is an engaging storyteller and is at ease presenting to executives with proven ability to develop and maintain effective business partner relationships.
Must be willing to roll up sleeves and get work done - a productive contributor to detailed content, with a strong sense of accountability and ownership.
The Principal - Data PdM supporting Sourcing and Inventory Management, is a fantastic opportunity for someone looking for a transformational, challenging and collaborative role. This individual contributor role will partner with data engineers, analysts, business stakeholders, data scientists, and executives in defining the product roadmap to ensure data products deliver actionable insights, improve decision making, and realize business value.What You'll Do
Product Strategy & Roadmap:
Define and drive the vision, strategy, and roadmap for data and analytics products.
Align data product initiatives with business goals, customer needs, and market trends.
Prioritize features, data models, and analytics capabilities based on impact and feasibility.
Stakeholder Collaboration & Requirements Gathering:
Work closely with business leaders, data teams, and engineers to define data needs and use cases.
Translate business objectives into well-defined data product requirements and specifications.
Ensure alignment between data initiatives and enterprise-wide strategies.
Execution & Delivery:
Collaborate with data engineers, scientists, and analysts to design scalable data models and pipelines.
Define and track key success metrics (e.g., data quality, adoption, business impact).
Ensure smooth integration of data products with analytics tools, BI platforms, and downstream applications.
Data Governance & Quality:
Advocate for data accuracy, consistency, and governance across the organization.
Work with engineering and data governance teams to ensure data security, privacy, and regulatory compliance.
Analytics & Insights:
Drive the development of self-service analytics capabilities for business users.
Partner with data science teams to identify AI/ML opportunities for predictive and prescriptive analytics.
Foster a data-driven culture by enabling teams with accessible and actionable insights.
Who You Are
7-10 years' experience in in data product management, data analytics, or related roles.
Deep functional knowledge of Sourcing, Logistics, and Inventory Management (product to market) required.
Retail or similar industry experience preferred
Strong understanding of data architecture, data engineering, SQL, and cloud platforms (Azure, GCP).
Experience working with BI tools (Tableau, Power BI, Looker) and analytics platforms.
Ability to synthesize complex data needs into simple, scalable solutions.
Experience working in Agile/Scrum teams and using product management tools (JIRA, Confluence).
Exceptional communication skills- someone who is an engaging storyteller and is at ease presenting to executives with proven ability to develop and maintain effective business partner relationships.
Must be willing to roll up sleeves and get work done - a productive contributor to detailed content, with a strong sense of accountability and ownership.