Senior Manager - Managed Services - Data Analytics

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Manager

Job Description & Summary

A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.

Job Posting Title: Managed Services -DPS- Data Analytics- Senior Manager

Job Profile: Acceleration Centre - Advisory Acceleration Centre - Senior Manager

Job Description Summary

A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost-effective, high-quality services that support process quality and delivery capability in support for client engagements.

Job Description

Our Analytics and Insights Managed Services team brings a unique combination of industry expertise, technology, data management and managed services experience to create sustained outcomes for our clients and improve business performance. We empower companies to transform their approach to analytics and insights while building your skills in exciting new directions. Have a voice at our table to help design, build and operate the next generation of software and services.

Job Requirements and Preferences:

• Basic Qualifications:
• Minimum Degree Required: Bachelor’s degree
• Minimum Years of Experience: 14 year(s)
• Preferred Qualifications: Degree Preferred: Master's 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.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date