Data Product Manager - CPG

August 21

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Tiger Analytics

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Machine Learning • Predictive Analytics • Forecasting • Optimization • Natural Language Processing

1001 - 5000

Description

• 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.

Requirements

• 8-10 years of experience in product management, data analytics, data science, and data management and operations in business-facing functions. • 3+ years of experience leading/building advanced analytics and big data solutions, large-scale data modelling. • Ability to engage with executive/VP level stakeholders from the client’s team to translate business problems into high-level analytics solution approach. • Excellent ability to identify sources of value from data analytics across core business domains (such as marketing, risk, and operations) and to define paths to realizing that value. • History of working in agile environments and successful estimation and delivery of complex products. • Strong SQL skills and hands-on experience. • Effective communication skills and an ability to break down complex information into relevant and digestible points inside D+A and externally to the business. • Demonstrated ability to drive business-oriented and innovative solutions using data science, feature engineering and machine learning. • Strong people management skills with the ability to develop teams and cultivate talent, including teams composed of various levels. • Graduate in Business Analytics or MBA or equivalent work experience.

Benefits

• Significant career development opportunities exist as the company grows. • Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.