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McKinsey Digital Labs – Big Data Product Owner – North America

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job-openings

Description


 Overview
The Product Owner is part of McKinsey Digital Labs’ Big Data practice. The PO works in close collaboration with consultants and experts to define, organize and manage the IT enablement project(s) which are professional, impacting and competitive web-based Business Intelligence & Big Data solutions. 
Detailed Description
McKinsey & Company is one of the world’s premiere management consulting firms with some 8,500 consultants across over 100 locations in 60 countries. The Firm provides a full spectrum of consulting services primarily to large corporations but also to governments, international institutions, and non-profit organizations. These organizations include 100 of the top 150 global companies, touching every major industry.
 

The Role:
 The Product Owner works in close collaboration with consultants and experts to define, organize and manage the IT enablement project(s) which are professional, impacting and competitive web-based Business Intelligence & Big Data solutions.  He has a real passion and an aptitude for data analytics. He can read and explain insights from large complex data sets. Despite having 5-7years of experience, he will still be an active learner in his spare time, i.e., PO often works on more than one project at any point in time.
We are looking for following core capabilities in our PO:
  • Conduct business analysis and collect business requirements to translate them into BI Solution leveraging best practices
  • Define features and product backlog (projects use the SCRUM methodology), prioritization of development, quality assurance and final acceptance of developed software
  • Elaborate development plans with the team and leadership covering IT project, maintenance and operations aspects
  • Collaborate with MDL leadership for project governance, prioritization, organization and staffing
  • Collaborate with CST and MDL managers during project execution for scope, budget and planning management
  • Manage project risks and issues and deliver working software passing quality and security requirements (as specified by the MDL and in line with Firm IT standards)
  • Very comfortable in understanding statistical data analyses, data mining & optimizations tools and technology
  • Easily understand the complex algorithm and logic to process data
  • Embrace the agile software development environment
  • Explain analytical solutions to the users to analyze medium to large datasets, run mathematical models, etc.
  • Ensure software is developed with proper data quality controls at all levels
  • Lead BI and reporting projects including Data warehousing, Data modeling, ETL, etc.
  • A good learner, but at the same time a good mentor who inspires peers and more junior team members to learn and expand their skill set, guiding them in the right direction
  • Possess excellent communication skills, able to visualize and report data findings creatively in a variety of formats to various stakeholders
The Work:
  • Work on McKinsey client studies. Candidate would be working with highly talented business consultants to help them in various analyses and its implementation. The impact of the work is normally realized in a very short span of study duration, which is very satisfying and rewarding.
  • Learning new technologies. We encourage all our colleagues to continuously learn new stuff. This helps individuals’ career path while collectively gives us more scalability and flexibility.
  • Getting out in public and contributing. We love open source technologies and communities. All are encouraged to contribute back as well. Sharing knowledge through blogs, and presenting at conferences has become very common within the group. 
          To find out more information about the role and to apply, please click here

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