Deloitte Consulting LLP seeks a Consulting, Specialist Master in Dallas, Texas and various unanticipated Deloitte office locations and client sites nationally.

Work You’ll Do
Manage information technology project and implementation services of large-scale data ecosystems, including data management, governance and the integration of structured and unstructured data to generate insights to help companies unlock the value of big technology investments. Manage the full data delivery lifecycle for implementations, including defining systems strategy, developing systems requirements, designing and prototyping, testing, training, defining support procedures, and implementing practical business solutions under multiple deadlines. Ensure that the design is transformed into code components as per design patterns and architectural principles by performing code reviews and unit test walkthroughs. Manage the implementation of data enrichment, lookup, filtering and data cleansing routines and solutions to improve data quality of the ingested data. Perform performance tuning of the components to meet the performance requirements. Develop and maintain contact with top decision makers, participate and lead aspects of the proposal development process, and contribute to the development of proposal pricing strategies. Perform role of counselor and coach; actively participate in staff recruitment and retention activities; provide leadership and support for teams and staff in local offices.
--50% Travel required nationally
--Telecommuting permitted
--Work location includes various unanticipated Deloitte office locations and client sites nationally.

Requirements
Master’s degree or foreign equivalent in Business Administration, any STEM field or a related field. Must have 3 years of related work experience in the job offered or in a related position. In the alternative, the employer will accept a Bachelor’s degree (or foreign equivalent) and 5 years of progressive related work experience. Position requires 3 years of related work experience in each of the following:

--Working with teams utilizing Agile methodology, Jira, Rally and Micro Focus Application Lifecycle Management (ALM) to generate insights, leveraging on-premise, web, and cloud-based platforms;

--Working with teams that perform data management, including master data, metadata, data architecture, data governance, data quality, and data modeling while utilizing Waterline Data, erwin Data Modeler, Unified Access Management (UAM), Lightweight Directory Access Protocol (LDAP), Cloudera Hadoop Distributions, Apache Ranger, Spark, and Hive;

--Working with teams that work to provide industry insight and analytical support using data mining, pattern matching, data visualization, and predictive modelling tools, including Apache Spark Streaming, Java, Scala, PySpark, Python, Eclipse, and IntelliJ IDEA to produce analysis and algorithms;

--Formulating and creating functional and non-functional specification documentation for product development and roadmaps, business process reengineering, business modeling, analytical and business rules definition, data architecture, and user interface and experience by utilizing GitHub, Qlik Sense, Tableau, Presto SQL, and Microsoft (MS) Excel, MS Project, and Power BI;

--Improving data discovery, sourcing, modelling and analytics by defining process mapping, decision mapping, and data governance to support the creation of data flows and models with batch and stream processing, Hive, Kafka, SQL, Yarn, Databricks, and Google Cloud Platform (GCP);

--Coordinating complex engagements with relevant data management consulting in master data, metadata, data architecture, data conversion, data governance, and data quality in SAP Finance General Ledger (FI-GL), Supply Chain Management (SCM), Order Management, and Telecom Business Support Systems (BSS); and

--Driving the development of master data architecture to support master data management, quality, and governance capabilities using erwin Data Modeler, Waterline Data, Apache Oozie, Ambari, Maven, Jenkins, and shell scripting.

Other
Hours: M-F, 40 hours/week.

If offered employment, must have legal right to work in U.S. EOE, including disability/veterans.