Manager/ Sr. Manager - Data Product Management - Supply Chain

Responsibilities

• Work directly with client stakeholders to translate business problems into high-level analytics solution designs
• Develop customer understanding through customer data, contributing to the overall analysis of the consumer path to purchase
• Develop end-to-end solutions based on an in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
• Manage analytics projects, collaborating with client stakeholders and Tiger’s team situated globally
• End-to-end Data + Analytics delivery execution ownership and optimization of resource assignment, sequencing, and allocation
• Oversee the design, building, and managing of how business-ready data lives within the Enterprise Data Foundation
• Drive coordination between Domains, Products and Projects to help drive reuse and reduce redundancy/duplication in the D+A and broader client portfolio
• Make presentations to senior management, communicate results to business teams, and develop plans to help operationalize analytic solutions
• Build data roadmaps to meet hydration targets and support timely delivery for global data initiatives and programs
• Ensure data cataloguing in the Data Foundation is accessible to business stakeholders
• Work with program Technical Data Product Managers to ensure expectations from D+A are managed and to eliminate disconnects regarding what can be addressed

Requirements

• 8-12 years of progressive experience across product management, data analytics, data science, and data management within business-facing environments
• Minimum 7 years of experience in Product roles or in a Data Product Manager or Senior Business Analyst capacity with ownership of end-to-end data initiatives
• Proven experience owning the full lifecycle of data products — from ideation, business case development, and roadmap definition to MVP launch, scaling, and continuous optimization
• Strong expertise in cloud platforms (AWS preferred) and modern data ecosystems, including Snowflake, MongoDB, or similar technologies
• Demonstrated experience leading data migration and modernization programs (e.g., legacy to cloud-based architectures)
• Advanced SQL proficiency with strong understanding of data modeling, data architecture, and analytics frameworks
• Hands-on experience working in Agile environments, including backlog management, sprint planning, estimation, and delivery using tools such as JIRA
• Proven ability to translate complex business requirements into structured epics, user stories, and technical documentation that enable efficient cross-functional delivery
• Experience collaborating with cross-functional teams including Product Owners, Data Engineers, Developers, Testers, and Analytics teams
• Strong executive presence with the ability to engage VP-level and senior stakeholders, translating business problems into high-level analytics and data solution approaches
• Demonstrated ability to identify high-value analytics opportunities across core business domains (e.g., marketing, risk, operations) and define measurable paths to value realization
• Experience driving innovative, business-oriented solutions using advanced analytics, feature engineering, and machine learning techniques
• Strong people leadership capabilities, with experience building, mentoring, and managing multi-level teams
• Excellent communication skills, with the ability to simplify complex technical concepts for both data & analytics teams and non-technical business stakeholders
• Graduate degree in Business Analytics, MBA, or equivalent professional experience