Are you an experienced, passionate pioneer in technology – a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center – we are breaking the mold of a typical Delivery Center.
Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below …
Work you’ll do/Responsibilities
- Understand data visualization techniques and libraries and their applicability to business problems.
- Perform exploratory data analysis to define analytical models.
- Develop advanced quantitative models using a variety of programs/software to support predictive assessments.
- Provide expertise for analytical, programmatic, strategic, and operational analysis.
- Explain analytics model behavior/results in the vernacular of business.
- Perform technical risk analysis and reliability assessments.
- Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models and techniques.
- Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques.
- Provide recommendations for plans, programs, strategies, policies and budgets.
- Design algorithms that require a number of different models/methods to be used in an ensemble.
- Deploy models into production.
The Team
Artificial Intelligence & Data Engineering
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 Artificial Intelligence & Data Engineering 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.
Artificial Intelligence & Data Engineering 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
- 6+ years of full-time experience with ETL / MDM tools and processes
- 6+ years of experience in Informatica MDM 10.x versions with development skills in ETL with IICS/IDQ
- 6+ years of experience in multiple areas of MDM implementations including Data Profiling, metadata acquisition, data migration, validation, reject processing and pre-landing processing
- 6+ years of Informatica MDM (Hub and IDD/Entity 360) as well as experience with Power Exchange
- 6+ years of experience in Informatica MDM Provisioning tool and Java User Exists
- 6+ years of experience with Informatica MDM Service Integration Framework (SIF)
- 6+ years of expertise in Informatica MDM Hub Match and Merge rules, batch jobs and batch groups.
- 6+ years of experience interfacing with ESB’s and different publish mechanism
- 6+ years of experience in configuring Entity base objects, Entity Types, Relationship base objects, Relationship Types and Profiles using Hierarchy tool
- 6+ years of knowledge of Active VOS workflow concept in Informatica MDM
- Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline, or equivalent experience
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel.
- Must be able to obtain the required level of security clearance for this role
- Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA with the ability to commute to assigned location for the day, without the need for overnight accommodations
- Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel
Preferred
- Business analytics experience in one or more of the following industries: Insurance, Consumer Products and Packaged Goods, and Human Resources
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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