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Life Sciences Supply Chain Data Governance and Quality - Senior Consultant

Location
McLean, VA, United States

Posted on
Dec 05, 2021

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Job Information
Deloitte
Life Sciences Supply Chain Data Governance and Quality - Senior Consultant
in
McLean
Virginia
The Team
Analytics & Cognitive
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
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
Qualifications
Required:
3 years of relevant data management consulting or industry experience (master data, metadata, data architecture, data governance, data quality, data modeling, data standards, data strategy)
At least 6 months of Supply Chain Data Governance and/or Data Quality project experience
1 year(s) Life Sciences Supply Chain consulting or industry experience , to include: Supply Chain Strategy, Supply Chain Planning, Supply Chain Fulfillment, Sourcing & Procurement, Product Development and/or Data and Analytics
1 year(s) experience leading workstreams within complex technology engagements with resources in multiple locations
Bachelor's Degree or equivalent professional experience
Travel up to 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:
Knowledge of supply chain data domains (Product, Item, Material, Supplier/Vendor, Customer, etc.) for the deployment and build of data platforms including master data management platforms, data warehouses, data hubs, and data lakes highly preferred
Experience in architecting, designing, and configuring Master Data solutions (ie: Informatica MDM multi-domain edition, Informatica 360 solutions (Customer, Cloud/Customer for Salesforce, Product, Supplier, Reference), Stibo, Reltio, etc.)
Experience with data governance and data quality tools (ie: Informatica DQ, Informatica Axon, Collibra, Ataccama, etc)
Experience defining and adopting data standards and regulations (i.e. GDPR, CCA, BCBS, PIPEDA, CDISC; etc.)
Experience developing analytics on Cloud platform such as Azure, AWS, GCP
Experience with Digital SCOR Models
Experience with Veeva
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
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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