Manager/ Sr. Manager - Data Product Management - Supply Chain job opportunity at Tiger Analytics Inc..

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Date2026-02-24T06:45:02.714Z bot
Tiger Analytics Inc. Manager/ Sr. Manager - Data Product Management - Supply Chain
Experience: 12-years
Pattern: Full-time
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degreeMBA
loacation Plano, United States Of America
loacation Plano....United States Of America

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are seeking a strategic and execution-focused Data Product Manager to lead the development, modernisation, and scaling of enterprise data products. This role will sit at the intersection of business, data engineering, analytics, and technology, translating complex business needs into scalable data solutions that drive measurable impact. 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. Responsible for managing 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. Responsible for making presentations to senior management, communicating results to business teams, and developing 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. 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.

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