Administer and maintain enterprise data security platforms and services, monitor health, perform upgrades, troubleshoot, onboard data sources, develop policies, test classification, coordinate remediation, support incident response, perform access reviews, develop dashboards, automate processes, maintain documentation, support audits and compliance.
Compensation
A reasonable, good faith estimate of the pay range the employer expects to pay on hire for this role is $120,000 to $140,000.
Responsibilities
Administer and maintain enterprise data security platforms and services
Assist in designing, deploying, and managing cyber data protection solutions to secure Deloitte US Member Firm data and client data.
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is $84,300 to $173,300.
Responsibilities
Assist with the development, deployment, and support of cyber data protection solutions.
Assist with the implementation of data security controls and design principles.
Provide Tier 2 technical support to Deloitte end users for cyber data protection services.
Assist in maturing existing data protection solutions protecting against data exfiltration.
Assist in rolling out new data protection services for employees.
Requirements
Bachelor’s degree or equivalent in Information Technology, Computer Science, or Engineering
Responsible for administering and operationalizing enterprise data protection technologies, classifying sensitive data, configuring DLP policies, monitoring alerts, and translating governance requirements into technical controls.
Compensation
Pay Range:$73,600-$109,300
Responsibilities
Administer and support enterprise data protection technologies
Discover and classify sensitive data and implement sensitivity labels
Configure, test, and tune data loss prevention policies
Monitor data protection alerts and investigate potential exposure
Partner with data owners and technology teams to remediate oversharing
Requirements
Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Information Technology, or a related field
Nice to have: Hands-on Microsoft Purview experience
Nice to have: Experience with Varonis
Nice to have: Experience with Proofpoint Data Loss Prevention
Nice to have: Experience protecting data across cloud, on-premises, endpoint, email, and SaaS environments
Lead the diagnosis, design and implementation of R&D's data foundations across its seven core elements, driving strategic data transformation in a pharmaceutical R&D environment.
Locations (2)
Stevenage, England, United Kingdom
Cambridge, England, United Kingdom
Compensation
We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.
Responsibilities
Lead comprehensive diagnostics of R&D data journeys, reconstructing end-to-end flows from scientific question to data-driven decision across systems, users, and data.
Identify and synthesize pain points across all seven data elements, distinguishing journey-specific issues from systemic, enterprise-wide gaps.
Engage 50+ subject matter experts and core team members across Research, Development, Tech, and AI/ML to ground findings in real user experience.
Define a future-state ambition for priority data-management capabilities.
Data Scientist role in a global asset and wealth management organization focused on designing and executing advanced analytics solutions that safeguard data privacy while improving client outcomes and operational efficiency.
Locations (2)
Hyderabad, Telangana, India
Kolkata, West Bengal, India
Responsibilities
Design and implement scalable analytics solutions that harness complex asset and wealth management datasets to deliver clear business insights while maintaining rigorous data privacy safeguards
Develop advanced SQL queries and data models that optimize portfolio analysis, client segmentation and performance reporting for multiple asset classes in a hybrid work setup
Apply data discovery techniques to identify critical data assets across structured and unstructured sources and map them to key wealth management business processes
Execute data classification frameworks that categorize sensitive and confidential information to support compliant analytics and responsible data usage across global teams
Run sessions with a broad set of R&D leadership, and design and facilitate cross-functional workshops to align stakeholders on the future state and foundational interventions.
Requirements
Nice to have: R&D data platforms
Nice to have: management consulting
Nice to have: project management certification
Nice to have: cross-functional core team leadership
Collaborate with portfolio managers, risk specialists and operations teams to translate investment and client service questions into robust data science solutions with measurable outcomes
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