Line of Service
Assurance
Industry/Sector
Not Applicable
Specialism
Assurance
Management Level
Manager
Job Description & Summary
PwC Labs is focused on standardizing, automating, delivering tools and processes and exploring emerging technologies that drive efficiency and enable our people to reimagine the possible. Process improvement, transformation, effective use of innovative technology and data & analytics, and leveraging alternative delivery solutions are key areas of focus to drive additional value for our firm.
The Data Lab will provide you with the opportunity to redesign, redefine, and redeploy how PwC uses data and analytics to be a strategic asset across the enterprise. The focus is on assisting teams as they incorporate increased automation, machine learning, analytics, open source technologies into their processes to deliver better quality output and contribute more strategically to organizational decision making.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
• Develop new skills outside of comfort zone.
• Act to resolve issues which prevent the team working effectively.
• Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
• Analyse complex ideas or proposals and build a range of meaningful recommendations.
• Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
• Address sub-standard work or work that does not meet firm's/client's expectations.
• Use data and insights to inform conclusions and support decision-making.
• Develop a point of view on key global trends, and how they impact clients.
• Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
• Simplify complex messages, highlighting and summarising key points.
• Uphold the firm's code of ethics and business conduct.
The candidate will use distributed computing technologies to process and analyze data at scale, identify and use appropriate big data tools to solve specific data processing problems, build pipelines to ingest and clean data using batch and real time frameworks, build infrastructural components and server applications to host machine learning models, explore and evaluate emerging frameworks, libraries and tech stacks, and configure, tune and monitor performance of big data systems.
Job Requirements and Preferences :
Basic Qualifications :
Minimum Degree Required :
Bachelor Degree
Additional Educational Requirements :
In lieu of a Bachelor Degree, 12 years of professional experience involving technology-focused process improvements, transformations, and/or system implementations
Minimum Years of Experience :
4 year(s)
Preferred Qualifications :
Degree Preferred :
Master Degree
Preferred Fields of Study :
Analytics, Business Analytics, Computer and Information Science, Computer Engineering & Accounting, Management Information Systems, Mathematics, Artificial Intelligence and Robotics
Preferred Knowledge/Skills :
Demonstrates thorough abilities and/or a proven record of success as a team leader including the following areas:
• Working within Cloud computing platforms such as AWS, GCP and Azure;
• Working within relational databases and writing SQL queries;
• Working within Big Data Machine Learning toolkits such as SparkML, messaging systems (Kafka) and NoSQL databases (Cassandra, HBase, MongoDB);
• Building data lakes;
• Possessing a background in computer science and comfortable in programming in a variety of languages, including Java, Python, Scala;
• Determining the appropriate software packages or modules to run, and how easily they can be modified;
• Handling large scale structured and unstructured data from internal and third party sources;
• Architecting highly scalable distributed data pipelines using open source tools and big data technologies such as Hadoop, Pig, Hive, Presto, Spark, Drill, Sqoop and ETL frameworks;
• Utilizing Linux shell scripting and containerization technologies (Docker, Kubernetes); and,
• Leading teams in a dynamic work environment while managing stakeholder expectations and scope.
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)
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Up to 20%
Available for Work Visa Sponsorship?
Yes
Government Clearance Required?
No
Job Posting End Date
May 21, 2021 All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer. For positions in Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: https://pwc.to/coloradoassurancemanager.
Job Type: Full time