Deloitte Data Management Operations Consultant in Seattle, Washington
AI and Data Ops
Data Dev Ops Consultant - Data Management Operations
We establish and operate the data fabric of our client's largest and most complex deployments enabling organizations to adapt to the rapidly changing business needs using their core data platforms, applications and solutions. And we deliver this using a combination of people, automation, AI and industry leading practices to enable intelligent operations across all levels of enterprise.
We provide flexible, long-term, staffing models that allow us to optimize the data life cycle, drive agility and scale and put data in the hands of decision makers faster and drive enhanced analytics insights.
Deloitte's AI and Data Operations offering provides our clients a proven approach to optimizing, modernizing and operating their data and analytics capabilities, as well as their platforms and infrastructure. Deloitte supports Clients as they transition their data and analytics investment and operational focus from routine capabilities to a shift to driving business value and innovation.
Work you'll do
Consultants in our Data Management Operations capability work within an engagement team. Key responsibilities will include:
Support management and operations (including minor enhancements) of master data, data quality, data governance and metadata management processes and applications as well as enable data and metadata needs for publishing and subscribing systems
Work side-by-side with our Data Modernization and Analytics implementation teams leveraging Data DevOps constructs, principles and tools to support sustainment of each agile sprint / release delivered
Manage day to day interaction with client stakeholders to ensure satisfactory measurement and reporting of key Data DevOps metrics
Coordination between multiple delivery centers to manage to engagement service level agreements
Responsible for supporting and leading project threads
Identify and solve problems using analysis, experience, and judgment
Deliver high quality work and adapt to new challenges, as an individual or as part of a team
AI and Data Operations
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 AI and Data Operations team leverages the power of data, analytics, Intelligent automation, science and cognitive technologies combined with the Data Dev Ops approach to help uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy and Analytics and Cognitive practices, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
The AI & Data Operations team will work with our clients to:
Stand up and operate their data and analytics related capabilities, applications and infrastructure by providing multi-year managed services leveraging the constructs and principles of Data Dev Ops
Provide capacity by embedding talent in our client organizations to quickly scale data, business intelligence, visualization and analytical teams up and down, on-demand
Support as-a-service based subscription models at scale that include analytics and data assets supporting industry and function-specific needs
2+ years of relevant technology consulting or industry experience in Master Data Management, Data Profiling and Data Quality management, Data Governance and Meta Data Management.
1+ year working in an operations and maintenance role on data management projects (e.g., MDM support, Data cleansing and Data Quality, Data Governance and Metadata Management projects)
1+ year of hands on experience with MDM implementations along with data profiling and implementation of data quality rules.
1+ year of hands on experience with capture and maintenance of data lineage and metadata across the data lifecycle.
1+ Experience with one or more MDM/DQ/Data Governance/Metadata managements related tools like Informatica MDM, Informatica IDQ, Informatica EDC/AXON, IBM Infosphere, Reltio, Collibra etc.
Experience working with DevOps methodology and tools like GitHub, Jenkins, Maven, Bitbucket, etc.
Experience designing and developing data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching
2+ years experience leading workstreams or small teams
• Travel up to 50% (While 50% is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice)
Limited Sponsorship may be available
MDM Certification in one of the leading technologies like Informatica, IBM, Reltio, etc.
Certification in Collibra design and management
Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Knowledge of data warehouse and big data architectures along with data integration patterns with MDM systems
Experience working with multi-Terabyte data sets
Experience with Data Integration on traditional, Hadoop and Cloud environments
Ability to work independently, manage small engagements or parts of large engagements.
Should be well versed with ITSM (IT Service Management) tools and the individual modules of ITSM
Must have a good understanding in troubleshooting issues with Data Quality, Data Conformance, Match/Merge, De-duplication, etc.
Should be experienced in troubleshooting performance issues in the data management lifecycle
Should be able to monitor the server health real time and provide recommendations
Strong SQL knowledge
Ability to produce and maintain accurate documentation and operational reports
Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
Eagerness to mentor junior staff.
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.