MDM Solution Manager_

Atlanta

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

QualificationsRequired

+ 10+ years of full-time experience with ETL / MDM tools and processes

+ 8+ years of experience in Informatica MDM 10.x versions with development skills in ETL with IICS/IDQ

+ 8+ 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

+ 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.

+ Limited sponsorship

+ Must live in a commutable distance (approximately 100-mile radius) Lake Mary, FL; 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

+ Ability to obtain Secret Clearance

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

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.