DPS- Data Analytics- Senior Manager

Job Requirements and Preferences:

• Basic Qualifications:
• Minimum Degree Required: Bachelor s degree
• Minimum Years of Experience: 14 year(s)
• Preferred Qualifications: Degree Preferred: Masters degree
• Preferred Fields of Study: Data Processing/Analytics/Science, Management Information Systems

Preferred Knowledge/Skills:

• Demonstrates intimate abilities and/or a proven record of success as a team leader, emphasizing the following:
• Working with a managed services organization with a passion for building new service offerings and identifying Whitefield opportunities in the Datas analytics and Technologies space;
• Leading cloud scale development effort for Data Integration technology-enabled solutions that address the needs of large organizations, including how to streamline design, automation, and orchestration of enterprise data that support large business transformation and processes;
• Providing oversight and guidance by utilizing previous experience with the implementation of Data Integration tools, such as SnapLogic, Mulesoft, Databricks, AWS Kinesis & Glue, Azure Data Factory, Informatica Cloud, SQL, Python/PySpark, Jupyter Notebooks and similar technologies;
• Interaction sing with data quality systems and processes, data management and data operations workflows and processes;
• Applying leading design and implementation practices related to end-to-end data lifecycle for one or more of the following: enterprise cloud data hubs/exchanges, middleware systems, data conversion/migration for business applications (e.g. CRM, ERP), edge applications (e.g. mobile devices);
• Understanding and experience related to multi-cloud/hybrid cloud data integration solutions;
• Creating data models and table structure of business applications such as Salesforce/SAP/Microsoft Dynamics/Oracle ERP;
• Architecting, managing, and engineering high volume/scale data integration performance, which includes both batch and event based integration patterns;
• Possessing proven communication and presentation skills, experience working with variety of senior IT stakeholders;
• Leading the ideation and development of accelerators/prebuilt solutions that package leading practices and enable rapid deployment of high quality solutions for our clients;
• Leading the development of intellectual property related to Data Analytics, Machine Learning and Insights and delivery market leading point of views at industry events;
• Acting as a leader on next generation Data analytics architectures/tools/solutions, leveraging prior knowledge and experience to meet client s needs;
• Leading and driving the sizing effort related to Data analytics work, plan and build teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution;
• Performing as a team leader by creating a positive environment, build proven team members based on coaching and mentoring, shaping next generation of Data analytics leaders;
• Monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; and,
• Providing candid feedback in a timely manner and keeping leadership informed of progress and issues.