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 management techniques and the various implementation styles that are implemented industry wide.
• Perform data management activities especially focusing on customer, suppler, product, reference data and other data domains that consists of master data.
• Experience on an industry accredited tool that has been used on a medium to large scale master data implementation.
• Develop quantitative models that used fuzzy/probabilistic algorithm-based features to efficiently derive “golden” records from the enterprise master datasets.
• Experience on implementation of data stewardship framework to determine optimized stewardship processes.
• 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.
• 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

• 3+ years of experience in Informatica with development skills in ETL with IICS/IDQ
• 3+ years of experience interfacing with ESB’s and different publish mechanism.
• 3+ years of experience in configuring Entity base objects, Entity Types, Relationship base objects, Relationship Types and Profiles using Hierarchy tool.
• Bachelor’s degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must live within a commutable distance to one of the following locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Desired Qualifications:

• In-depth knowledge and experience working with MDM solutions.
• Design and develop MDM solutions ensuring adherence to best practices and standards. Configure and manage MDM services, including data integration, quality, and governance components.
• Nice to have knowledge of Informatica MDM Hub, Data Director, provisioning tool, and Active VOS, and their functionalities for party entities; Experience in entity 360, Business entities and provisioning tools, data manager, hierarchy.
• Proficient configuring and building match merge rules, trust settings on MDM platform.
• Excellent verbal, written, and listening skills.
• Detail-oriented, organized, and strong on follow-through
• Strong interpersonal skills including collaboration, facilitation, and negotiation.
• Experience in Agile methodologies and Jira a plus
• Needs to be a fast learner and demonstrate ability to ramp up quickly on the tech stack.

Technical Skills:

Informatica, MDM, Databricks, SQL, Amazon Web Services (AWS)

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html