Global Data Product Manager

Harnham ,
London, Greater London
More Details
Job Type: Full-time
Salary: £75,000 per annum

Overview

GLOBAL DATA PRODUCT MANAGER FMCG LONDON £75,000 -£80,000 EXCELLENT BENEFITS A Global leader in their area and a FTSE top 20 company are looking for a global data product manager to deliver a range of anlaytical tools and products which sit on their global data repository and service a range of different business areas and needs and manage a team of technical Business Analysts THE COMPANY This company is global, in the top 20 FTSE companies and has thousands of employees and a turnover in the billions. THE ROLE If you were to be successful in your application for this Global Data Products Manager role your responsibilities would include: Working closely with senior business leaders (eg a global director of a category) to take their requirements for a request Draw up the requirements from commercial requests being able to push back on certain features and then work closely with a 3rd party analytics consultancy to implement a commercially effective data product to solve business problems Work on numerous projects of this nature at any one time and deliver leadership to the more junior tech BA's SKILLS AND EXPERIENCE In order for your application for the Global Data Product Manager role to be successful you will need; Proven stakeholder engagement and requirements gathering experience up to a very senior level in a large and complex organisation (this is a global role and not just covering the UK market) Functional knowledge of a B2C business model and how data can help this or functional knowledge of consumer led marketing in ecomm, retail or FMCG Technical knowledge- this doesn't need to be hands on but you should be able to understand what needs to be done to build analytical products from the profiling of raw data through to the production of insights and therefore be able to delegate accordingly HOW TO APPLY If you are interested in this Global Data Product Manager role, please apply via this site. KEYWORDS SQL, Business Intelligence, SQL Server, Databases, ETL, Python, Data Pipelines

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