Senior Data Science Project Manager

Arbetsbeskrivning

Your job is to ensure that we deliver high quality solutions enabling the business smart use of data through existing or newly developed applications. You are also expected to drive the objectives of the Science team in different forums within IT and the business.
Your main tasks:
Project management of analytics projects focused on delivery as well as business case development
Working with various stakeholders in the organization to identify business challenges where analytics can be leveraged
Identify business requirements and success criteria for selected use cases
Securing successful deployment and adoption of data-driven solutions in the organization
Support development of outcome measurement processes assessing the value and benefits of analytics insights
Contribute to the continuous development of the data science processes



Qualifications:
Minimum of five years’ experience as project management lead and/or SCRUM master
Experience from data and analytics projects
Self-driven and flexible
Solution-oriented
Highly analytical and structured
Excellent communication skills
Advantage if experience as a product owner for data-driven solutions
B.Sc. in IT management, Industrial Economics Engineering, Computer Science, Management/Business administration or equivalent



The challenge - As an enterprise producing millions of appliances each year and counting more than 50.000 employees, Electrolux is already generating massive amounts of data in hundreds of systems across the globe, from supply chain to sales to sensors in smart home appliances. This offers a huge opportunity to facilitate and improve data-driven decision making.
The team - The Electrolux Global Data Science team supports business functions across the entire company and helps them turning raw data into valuable insights and actions. The team is a key enabler to support the company’s digital transformation and takes the role of being the center of excellence for data handling and advanced analytics within the company.

Sammanfattning

Postadress

SANKT GÖRANSGATAN 143
Stockholm, 11217

Liknande jobb


Data Engineer

Data Engineer

25 maj 2022

Data Engineer

Data Engineer

25 maj 2022

Business Intelligence Developer

23 maj 2022

Business Intelligence Developer BIDW

23 maj 2022