Consulting, Solution Manager

Data Analytics | Data Engineering

Lake Mary, Florida, United States

Position Summary

Deloitte Consulting LLP seeks a Consulting, Solution Manager in Lake Mary, Florida and various unanticipated Deloitte office locations and client sites nationally.

Work You’ll Do
Manage project advisory 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 implementation of information technology projects, 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 information technology project designs are 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 of information technology projects 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 utilizing information technology projects. 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.

• 15% Travel required nationally
• Telecommuting permitted
• Work location includes various unanticipated Deloitte office locations and client sites nationally.

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 occupation. 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:

• Utilizing Amazon Web Services (AWS) Simple Storage Service (S3), AWS Redshift, AWS Elastic Compute Cloud (EC2), AWS QuickSight, Microsoft (MS) Power BI, and Python to generate insights leveraging on-premise, web, and cloud-based platforms;
• Performing data management, including master data, metadata, data architecture, data governance, data quality, and data modeling while utilizing erwin Data Modeler, Informatica, Collibra, Confluence, and MS SharePoint;
• Providing industry insight and analytical support using data mining, pattern matching, data visualization, and predictive modelling tools, including PyCharm, Jupyter Notebook, AWS Glue, Alteryx, Apache Hadoop, Apache Spark, MS Power BI, and AWS QuickSight 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 MS Visio,, Confluence, MS SharePoint, MS Teams, and Jira;
• 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 AWS Athena, AWS Relational Database Service (RDS), DBeaver, Oracle Database, SQL Server, Collibra, Jira, and MS Visio;
• Participating in complex engagements with relevant data management consulting in master data, metadata, data architecture, data conversion, data governance, and data quality in Informatica, AWS RDS, Oracle Database, SQL Server, erwin Data Modeler, Collibra, and Jira; and
• Participating in the development of the development of master data architecture to support master data management, quality, and governance capabilities using erwin Data Modeler, Informatica, AWS Elastic MapReduce (EMR), MS Power BI, AWS QuickSight, Confluence, Collibra, and Jira.

Hours: M-F, 40 hours/week;

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

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Requisition code: 185752


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