Role: Data Science & Analytics - Other
Industry Type: Management Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Analytics - Other
UG: B.Tech / B.E. in Any Specialization
PG: MCA in Computers
Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Senior Associate Job Description Summary. Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, co-sourcing, outsourcing and managed services, using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise, in areas like cyber, forensics and compliance, to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption, and obtain confidence to take risks to power growth. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other.
Responsibilities
Strong understanding of privacy regulations such as GDPR, CCPA, Draft India Data Protection Bill and privacy frameworks Must have implemented and/or supported Data Protection technologies. Should have experience in at least 3 end to end privacy assessment implementation projects (GDPR, PDP, other country specific regulations) Interview client stakeholders and develop project artifacts such as Privacy Impact analysis, data flow diagrams identify gaps Experience in performing Privacy impact assessments, data discovery, data classification and developing data flow maps Experience in implementation and use of privacy enhancing technologies and design of data privacy framework. Experience with development and implementation of data protection solutions such eDiscovery tools, Data Classification solutions, Data Leakage Prevention solutions to ensure privacy policies are correctly implemented. Implementations should advance compliance with legal forms of data use as well as support business use of data Knowledge of data anonymization, psuedomization and encryption technical controls to develop systems that improves privacy protections Must have experience in Database protection and hands on knowledge in one or more of associated technologies Working knowledge of designing privacy enhancements for with a goal of developing technical solutions and systems to mitigate privacy risks Great communication skills and the ability to break down and explain complex data security problems Excellent presentation skills and ability to effectively communicate proposals and point of view at senior management levels Education Minimum Qualification: BE/ BTech Postgraduates in any stream would be preferred (not mandatory) Prior Big 4 experience would be an added advantage Experience in Data Privacy for varied industry segments preferred Excellent communication skills - both written and oral Certifications: CIPP/CIPM/DCPP will be added advantage Mandatory skill sets: Perform Assessment and Implementation against the requirements of Data Privacy Regulations e.g., GDPR, CCPA, PDPB and privacy standards e.g., ISO 27701 etc. Preferred skill sets: Data Privacy, ISO 27701 Years of experience required: 2-5 Education qualification: BE, B. Tech, ME, M. Tech, MCA Education (if blank, degree and/or field of study not specified) Certifications (if blank, certifications not specified) Required Skills Data Privacy Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Creativity, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Financial Accounting, Financial Audit Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.