Data Product Manager - CPG

Posted Sep 10

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 looking for someone with a good blend of business consulting skills and a data analytics background.

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.

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. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.