Data Governance and Quality Analytics amp Cognitive Senior Consultant

The Analytics & Cognitive team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Analytics & Cognitive will work with our clients to:

Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms

Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions

Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

Required:

3 years of relevant data management consulting or industry experience (master data, metadata, data architecture, data governance, data quality, data modeling)

1 year(s) Functional Data Governance experience

1 year(s) experience leading workstreams within complex technology engagements with resources in multiple locations

Bachelor’s Degree or equivalent professional experience

Travel up 50% (While 50% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice.)

Limited immigration sponsorship may be available.

Preferred:

Experience with data governance and data quality tools (ie: Informatica DQ, Informatica Axon, Collibra, etc

Strong oral and written communication skills, including presentation skills (ie: MS PowerPoint)

Ability to create critical collaterals for client workshops and customer interactive sessions

Strong problem solving and troubleshooting skills with the ability to exercise mature judgment

An advanced degree in the area of specialization is preferred

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