FS XSector
Specialism
Operations
& Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth.
Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small and largescale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.
Responsibilities
Work closely with developers to create, design, and review automation solutions. Utilize automation tools including Agentic automation to develop scalable and maintainable solutions. Ensure solutions align with business requirements and industry best practices. Serve as a customerfacing resource to comprehend and translate client requirements.
Conduct workshops and meetings to gather and refine business requirements. Cultivate strong relationships with customers to ensure satisfaction and project success. Analyze business processes to identify opportunities for automation. Develop business cases and solutions that align with customer needs and strategic goals. Present solutions to stakeholders and facilitate signoff procedures. Provide guidance and mentorship to development teams regarding best practices in coding and solution design. Review and approve technical documentation and deliverables to ensure quality and adherence to standards. Coordinate with crossfunctional teams to ensure successful project delivery. Monitor project milestones and deliverables, and communicate project status, risks, and issues to stakeholders effectively. Stay informed about the latest trends and advancements in automation technologies. Identify opportunities for process improvements and implement innovative solutions. Advocate for the adoption of new tools and technologies that enhance automation capabilities. Strong handson experience with Python and other relevant automation tools. Experience in customerfacing roles, with the ability to understand and translate business requirements effectively. Proven experience in collaborating with developers and technical teams. Excellent communication, presentation, and interpersonal skills. Experience in creating business cases and obtaining stakeholder signoff.
Strong problemsolving skills and attention to detail.
Mandatory skill sets
1) Candidate should have done and lead the automation development team of any one of the either RPA or Agentic or Python 2) Candidate should have managed projects for 10+ team members 3) Should have experience in managing large clients and customers
Preferred skill sets
AI, Python
Years of experience required
1014 years
Education Qualification
Engineering Graduates/ Management Graduates
Education
Degrees/Field of Study required Bachelor of Technology, Bachelor in Business Administration
Degrees/Field of Study preferred
Required Skills
Python (Programming Language)
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Coaching and Feedback, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM) {+ 41 more}
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