GDS Cyber-DPP-Manager-AI Data Protection Engineering
Ernst and Young1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead discovery, architecture, and deployment of AI-enabled data protection solutions for strategic clients.
- Embed with client stakeholders as the forward deployed technical owner, resolving ambiguous problems and making architecture decisions.
- Architect integrations across data protection platforms, AI models, copilots, RAG pipelines, enterprise data estates, and security or policy controls.
- Lead engineering teams through build, integration, testing, troubleshooting, go-live, and post-deployment hardening.
- Shape pursuit solutions through demonstrations, proofs of concept, effort estimates, solution architecture, and technical proposals.
- Develop reusable methods, accelerators, reference architectures, and runbooks for AI data protection offerings.
- Manage delivery scope, risks, solution quality, technical escalations, and client expectations 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 expertise in data protection, data discovery and classification, PKI, KMS, and information rights management.
- Working knowledge of machine learning, 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 as a trusted technical advisor.
- Preferred: experience in professional services, solutions engineering, field engineering, or forward deployed delivery.
- Preferred: familiarity with regulated sectors such as financial services, healthcare, public sector, or multinational enterprises.
- Preferred: experience with pricing inputs, solution estimation, and technical deal shaping.
Benefits
- Work with a globally connected cybersecurity practice focused on protecting sensitive data in an AI-driven world.
- Collaborate in global, cross-functional teams across advisory, architecture, engineering, and delivery.
- Gain exposure to strategic client programs and market-shaping offerings.
- Build reusable assets, accelerators, and modernization patterns through 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.