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Ernst & Young LLP ( EY India )
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Noida · Hybrid · 8-11 Yrs · 6 days ago
18 open roles2 posted in 7d18 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
GDS Cyber-DPP-Manager-AI Data Protection Engineering At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you.
Responsibilities
- Lead engineering teams through build, integration, testing, troubleshooting, go-live, and post-deployment hardening while maintaining delivery quality, client confidence, and practical execution pace. Shape pursuit solutions through demonstrations, solution architecture, proofs of concept, effort estimates, and technical proposals. This is explicitly called out in external FDE manager patterns.
- Build reusable methods, accelerators, reference architectures, and runbooks that strengthen the firm’s AI data protection offerings and improve repeatability across sectors and accounts.
- Manage client expectations, delivery scope, solution quality, risks, and technical escalations while coaching teams and enabling long-term client capability through documentation and knowledge transfer.
Qualifications
- 8–12 years of experience across data protection, cybersecurity engineering, security architecture, privacy engineering, cloud security, or related fields. Strong depth in data protection, data discovery/classification, PKI & KMS, and information rights management. Strong working
- knowledge of ML, deep learning, NLP, RAG, AI-assisted prioritization, and model risk scoring, with experience applying these to enterprise problem-solving. Demonstrated experience designing and deploying enterprise-grade solutions across cloud and hybrid environments, ideally on Azure, AWS, or GCP. Comparable FDE manager roles consistently require cloud-native delivery, APIs, and production systems ownership.
- experience with AI/data protection tooling such as Microsoft Copilot, GitHub Copilot, Claude Enterprise, Gemini Enterprise, Purview, DSPM platforms, Python, and related enterprise engineering tools. Strong client-facing communication and the ability to operate as a trusted technical advisor to senior stakeholders.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for AI Data Protection Engineer Manager at Ernst & Young LLP ( EY India )?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Ernst & Young LLP ( EY India ) may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI Data Protection Engineer Manager role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Data Protection Engineer Manager remote or on-site in Noida, Uttar Pradesh?
- This listing is marked hybrid with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this AI Data Protection Engineer Manager role at Ernst & Young LLP ( EY India )?
- This is a mid-level AI Data Protection Engineer Manager role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.