Manager/ Sr. Manager - Data Product Management - Supply Chain
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Overview
Job Description
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.
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