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Manager/Senior Manager of Data Product Management - Supply Chain

Tiger AnalyticsPlano, Texas, United States
On-site Full-time

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Experience Level

Senior Level Manager

Qualifications

Requirements:8-12 years of progressive experience in product management, data analytics, data science, and data management in business-facing environments. At least 7 years of experience in product roles or as a Data Product Manager/Senior Business Analyst, with ownership of end-to-end data initiatives. Demonstrated success in managing the complete lifecycle of data products, from ideation and business case formation to MVP launch, scaling, and continuous optimization. Extensive expertise in cloud platforms (preferably AWS) and contemporary data ecosystems, including Snowflake, MongoDB, and others.

About the job

Tiger Analytics is a leading advanced analytics consulting firm that partners with Fortune 100 companies to unlock the value of their data. Our team of consultants excels in Data Science, Machine Learning, and Artificial Intelligence, receiving accolades from prestigious market research firms like Forrester and Gartner for our impactful contributions.

We are on the lookout for a strategic and results-oriented Data Product Manager to spearhead the development, modernization, and scaling of enterprise-level data products. This pivotal role will navigate the realms of business, data engineering, analytics, and technology, translating intricate business challenges into scalable data solutions that drive tangible results.

Key Responsibilities:

  • Engage with client stakeholders to transform business challenges into comprehensive analytics solution designs.
  • Enhance customer insights through data analysis, contributing to a thorough understanding of the consumer journey.
  • Design and implement end-to-end data solutions, ensuring efficient, predictable, and sustainable delivery of analytics solutions.
  • Oversee analytics project management, collaborating with clients and Tiger’s global teams.
  • Own end-to-end delivery of Data and Analytics, optimizing resource allocation and sequencing.
  • Manage the design, construction, and maintenance of business-ready data within the Enterprise Data Foundation.
  • Facilitate collaboration between Domains, Products, and Projects to maximize resource reuse and minimize redundancy.
  • Prepare and present insights to senior management, communicate results to business teams, and devise actionable plans to operationalize analytics solutions.
  • Create data roadmaps to achieve hydration targets and support timely execution of global data initiatives.
  • Ensure accessibility of data cataloguing in the Data Foundation for business stakeholders.
  • Collaborate with Technical Data Product Managers to align expectations and eliminate gaps in data initiatives.

About Tiger Analytics

Tiger Analytics is a premier advanced analytics consulting firm that empowers Fortune 100 companies to harness data for strategic advantage. Our expertise spans Data Science, Machine Learning, and AI, making us the trusted partner for organizations seeking to derive actionable insights from their data.

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