GDS Cyber-DPP-Manager-AI Data Protection Engineering
Ernst and Young2 days ago
Noida, IndiaSenior / Staff+
Responsibilities
- Lead discovery, architecture, and deployment of AI-enabled data protection solutions for strategic clients.
- Embed with client stakeholders to resolve ambiguous problems, make architecture decisions, and drive production outcomes.
- Architect integrations across data protection platforms, AI models, copilots, RAG pipelines, enterprise data estates, and downstream security and policy controls.
- Lead engineering teams through build, integration, testing, troubleshooting, go-live, and post-deployment hardening.
- Develop demonstrations, proofs of concept, effort estimates, technical proposals, and pursuit solutions.
- Build reusable methods, accelerators, reference architectures, and runbooks for AI data protection offerings.
- Manage client expectations, delivery scope, solution quality, risks, and technical escalations while coaching teams and enabling knowledge transfer.
Requirements
- 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 and classification, PKI, KMS, and information rights management.
- Working knowledge of ML, deep learning, NLP, RAG, AI-assisted prioritization, and model risk scoring applied to enterprise problems.
- Experience designing and deploying enterprise-grade solutions across cloud and hybrid environments, ideally using Azure, AWS, or GCP.
- Hands-on experience with Microsoft Copilot, GitHub Copilot, Claude Enterprise, Gemini Enterprise, Purview, DSPM platforms, Python, and related enterprise engineering tools.
- Strong client-facing communication skills and the ability to advise senior stakeholders.
- Preferred experience in professional services, solutions engineering, field engineering, or forward-deployed delivery models.
- Familiarity with regulated sectors such as financial services, healthcare, public sector, or large multinational enterprises.
- Experience with pricing inputs, solution estimation, and technical deal shaping.
Benefits
- Work with globally connected, cross-functional cybersecurity teams across advisory, architecture, engineering, and delivery.
- Exposure to strategic client programs and market-shaping offerings.
- Opportunity to build reusable assets, accelerators, and modernization patterns in a global delivery model.
Tech Stack
Categories
Forward Deployed
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.