88 Data Classification Jobs - Page 4

Job Title: Data Privacy & Protection Specialist (Technical Compliance) Key Responsibilities: Ensure compliance with global data protection regulations including GDPR, CCPA, and other relevant frameworks . Design, implement, and maintain data privacy and protection policies , procedures, and controls. Evaluate and implement technical security controls such as: Encryption and Cryptography Data Loss Prevention (DLP) Endpoint Protection Platforms (EPP) Conduct privacy impact assessments (PIAs) and data protection impact assessments (DPIAs) . Provide guidance on data classification, retention, and secure data handling . Required Skills & Qualifications: Bachelors or masters degree in information security, Computer Science, Law, or a related field. 5+ years of experience in data privacy, protection, or compliance roles. Strong understanding of GDPR, CCPA, ISO 27001, NIST , and other data protection standards. Familiarity with SIEM, CASB, IAM, and other security technologies is a plus. Relevant certifications such as CIPM, CIPP/E, CISSP, CISM, or ISO 27001 Lead Implementer are highly desirable. Experience- 5 to 8 years Work location- Bangalore Shift- General Notice- 15 to 30 days.

Role & responsibilities : Designing and implementing Data Security solutions and capabilities that are clearly aligned to their business, technology, and threat drivers. Implementing Data Security tools like DLP, CASB, SASE etc. within a complex business environment, through requirements gathering, building, testing, and production roll-out. Demonstrating proven problem-solving skills with an emphasis on tool implementation and integration. Act as a subject matter expert for cybersecurity initiatives including the development and documentation of reference architectures and lab demonstrations including: Data Leakage Prevention (DLP) Cloud implementations of DLP and SWG Network micro segmentation Secure Access Services Edge (SASE) Zero Trust Network Architecture (ZTNA) Software-Defined WAN (SD-WAN) integration Cloud Access Security Broker (CASB) Database Activity Monitoring (DAM) Have Hands-on knowledge and capability to build Proof of Concept solutions and integrations with Workflow Management, Identity and Security Operations Developing SASE strategy and roadmap, operating model, policies/standards, and tool design and process documents. Evaluating new solutions and services, providing a business case on whether the firm should develop skills and vendor relations within new Data Security solutions and technologies. Identifying and addressing client needs and building relationships with clients. Demonstrating documentation and presentation skills. Strong critical thinking and problem-solving skills with clear communication The ability and mindset to fully own the production environment; to identify production issues, design and develop enhanced monitoring solutions and automate fixes for those issues.

Job Title: Senior Data Security Engineer Location: Pune, India Role Description As a Senior Data Security Engineer , you will lead a team of skilled engineers dedicated to protecting the organizations sensitive information and ensuring robust data security practices. Your role will encompass the design, implementation, and optimization of data security solutions across on-premises, cloud, and hybrid environments. Key areas included but not limited to are Data Discovery and Classification, Data Protection, Data Loss Prevention (DLP). You will collaborate across divisions, working closely with other security pillars and business units to deliver innovative solutions that mitigate threats and reduce risks. Combining strong managerial acumen with hands-on technical expertise, you will actively contribute to delivering outcomes, stepping in to resolve complex challenges directly when needed. As a pivotal figure in the Data Security pillar, you will define architectural and technological roadmaps, ensuring alignment with business objectives and global security standards. Your leadership will drive the adoption of best practices and foster a culture of delivery, whereby you ensure that your team delivers the book of work. What we’ll offer you As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Leadership & Hands-On Engineering Lead a team of data security engineers, fostering technical excellence and collaboration. Drive knowledge sharing within the team and ensure alignment with best practices and adaptive way of working. Provide mentorship and hands-on guidance while ensuring high technical delivery standards. Actively participate in technical implementation and troubleshooting when necessary. Manage backlogs, prioritize the work and deliver in scope, budget and schedule. Security Architecture & Solution Design Define and maintain a data security implementation and technology roadmap aligned with the Data Security strategy and business objectives. Evaluate and recommend new security tools and technologies for e.g. data protection, DLP. Implementation & Technical Operations Lead the implementation, configuration, deployment and optimization of data security technologies, including but not limited to DLP, encryption, tokenization, and cloud security controls. Implement and fine-tune security controls to detect and prevent data exfiltration, malware, insider threats, etc. Threat & Risk-Driven Security Enhancements Work with threat intelligence teams to understand emerging data security threats and incorporate proactive defenses. Continuously assess risks associated with data security gaps and propose mitigation strategies. Cross-Divisional Collaboration & Stakeholder Engagement Work across other security pillars and IT teams to align data security initiatives with broader risk mitigation strategies. Act as a bridge between security operations, architects, and engineers, ensuring cohesive security execution. Collaborate with external vendors to evaluate and deploy best-fit security solutions and mature their solutions. Engage with leadership to translate business risk into practical, actionable security measures and KPIs Your skills and experience Mandatory (MUST) Qualifications Bachelor’s or master’s degree in information security, Computer Science, or a related field. 7+ years of experience in data security, cloud security, or DLP, with a mix of hands-on engineering and leadership responsibilities. Proven track record of leading security teams, managing priorities, and delivering projects within scope, budget, and schedule. Strong technical problem-solving skills, with the ability to troubleshoot, optimize, and enhance security implementations. Experience in security architecture, technology roadmaps, and aligning solutions with business objectives. Expertise in evaluating, selecting, and implementing security technologies, e.g. for DLP, encryption, tokenization, and cloud security solutions. Hands-on experience deploying, configuring, and optimizing security controls to mitigate data loss prevention, malware, and insider threats. Good understanding of risk assessment, threat modeling, and security mitigation strategies. Ability to collaborate with leadership and stakeholders, translating security risks into actionable KPIs and strategic initiatives. Experience working across security pillars, IT teams, and external partners to align security objectives and drive improvements. Including ability to communicate complex topics effectively to various stakeholders, particularly at the senior management level. Experience with Microsoft Purview, Symantec DLP, Palo Alto, and Zscaler; knowledge of Palo Alto and Proofpoint is a plus. Optional (Shall) Qualifications – plus! Advanced Technical Expertise in secure network architectures, encryption methodologies, data protection strategies, and cloud security best practices. Regulatory Compliance Knowledge, including familiarity with GDPR, CCPA, PCI DSS, NIST, and ISO 27001 in the context of data security. Continuous Learning & Industry Awareness, staying up to date with emerging security threats, technologies, and evolving regulatory landscapes. Knowledge of Zero Trust Security Models, including access control, micro-segmentation, and identity-based security approaches. Cloud Security & Infrastructure, worked with AWS, Azure, or GCP including Terraform, Ansible, or Kubernetes security. Programming & API Security, familiarity with secure coding practices and experience securing REST APIs, authentication flows, and data access layers. Holding preferred certifications like CISSP, CISM, CCSP, AWS Certified Security, Microsoft Purview, Google Professional Cloud Security Engineer How we’ll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htmRole & responsibilities Preferred candidate profile

Senior Cyber Security Analyst - IND005A Company Worley Primary Location IND-MM-Mumbai Other Locations IND-KR-Bangalore, IND-AP-Hyderabad, IND-MM-Pune, IND-MM-Navi Mumbai Job Cyber Security Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Apr 21, 2025 Unposting Date May 21, 2025 Reporting Manager Title Manager We deliver the worlds most complex projects Work as part of a collaborative and inclusive team Enjoy a varied & challenging role Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia. Right now, were bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals and resources that society needs now. We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects. The Role As a Senior Cyber Security Analyst with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc. We are seeking a Senior Cyber Security Analyst -a Subject Matter Expert (SME)- to join our Information Security team. The ideal candidate will be responsible for designing, implementing, monitoring, reacting, and reporting on information security events within the DLP scope. Additionally, the role includes managing security tools and IT systems with a special focus on DLP enablement. DLP Strategy & Policy Design Serve as a Subject Matter Expert (SME)for DLP solutions, technologies, and best practices. Design, implement, and optimize DLP policiesto detect and prevent unauthorized access, sharing, and data exfiltration. Define and maintain DLP governance frameworks, aligning with regulatory requirements Identify sensitive data requiring protection across endpoints, cloud, email, and network. Implementation & Configuration Deploy and configure DLP controlsto monitor, alert, and block potential data leaks. Define and enforce DLP rules for structured & unstructured data, including Personally Identifiable Information (PII), Intellectual Property (IP), and financial data. Integrate DLP solutions with other security tools. Monitoring& Continuous Improvement Monitor and analyzeDLP alerts and incidents, identifying trends and areas for improvement. Ensuring DLP alerts and incidentsget routed to monitoring/response processes in accordance with defined internal procedures Perform regular tuning and updatesto enhance detection accuracy and reduce false positives. Develop automated response actionsto mitigate risks and ensure business continuity. Compliance & Stakeholder Collaboration Ensure compliance with data protection regulations and industry security standards. Collaborate with cross-functional teams to resolve complex technical issues and to align DLP policies with business needs. Provide guidance and training to employees on DLP policies, security best practices, and insider threat awareness. Reporting & Documentation: Define and generate DLP metric supporting the reporting needs across the organization Document DLP configurations, policies, and operational procedures. Provide technical recommendationsto enhance data security strategies. About You To be considered for this role it is envisaged you will possess the following attributes: Ability to balance security measures with business needs A proactive approach to identifying and mitigating data loss risks before they become security incidents Proven experience with DLP solutions (e.g., Microsoft Purview, Symantec, Forcepoint, McAfee/Trellix, Digital Guardian, Zscaler). Strong knowledge of DLP policies, rules, content inspection techniques, and data classification models. Experience working with cloud-based DLP (e.g., CASB, SaaS security, O365 DLP, Google Workspace DLP) Understanding of network security, endpoint security, and encryption techniques. Familiarity with SIEM, SOC workflows, and incident response processes. Moving forward together We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. Were building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, theres a path for you here. And theres no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Worley takes personal data protection seriously and respects EU and local data protection laws. You can read our full Recruitment Privacy Notice Please noteIf you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Worley.

Location: Hyderabad, Bangalore - India Function: HV Product Management Requisition ID: 1033000 The Company We’re Hitachi Vantara, the data foundation trusted by the world’s innovators. Our resilient, high-performance data infrastructure means that customers – from banks to theme parks – can focus on achieving the incredible with data. ?? If you’ve seen the Las Vegas Sphere, you’ve seen just one example of how we empower businesses to automate, optimize, innovate – and wow their customers. Right now, we’re laying the foundation for our next wave of growth. We’re looking for people who love being part of a diverse, global team – and who get excited about making a real-world impact with data. The Team The VSP 360 team is focused on building an intelligent, hybrid cloud platform that integrates observability, automation, protection, and data insights. As part of this mission, we are expanding platform capabilities to include rich data services integrations that enhance visibility, governance, compliance, and cyber resilience. This team works cross-functionally with engineering, partner ecosystems, and customer-facing teams to deliver seamless experiences and actionable insights from a wide range of data services and third-party platforms. The Role As the Product Manager for Data Services within the VSP 360 platform, you will lead the strategy and execution for integrating a diverse set of data services that drive data intelligence, governance, and protection. This includes managing platform-level integrations with services such as data classification, data cataloging, PII detection, cyber resilience, and third-party data protection solutions. You’ll collaborate with internal and external stakeholders to define use cases, capture integration requirements, and drive partner enablement. Your role will focus on building scalable APIs and workflows that bring context-rich insights and automation to the forefront of hybrid cloud storage management. You will be responsible for managing the backlog in Aha!, coordinating cross-functional execution, and ensuring customer-facing outcomes around security, compliance, and operational efficiency. What You’ll Bring 5+ years of product management experience in data services, storage, or enterprise software Strong understanding of data classification, cataloging, governance, and PII/security frameworks Familiarity with cyber resilience concepts and tools Experience integrating third-party solutions (e.g., Commvault, Veeam) into a platform environment Proven ability to define APIs and workflows for data services integration Agile product management experience with tools like Aha!, Jira, or equivalent Ability to balance technical requirements with customer value and usability Strong collaboration and communication skills across product, engineering, and partners Strategic mindset with experience driving partner ecosystems and joint solutions Passion for delivering customer-centric solutions with measurable business impact About us We’re a global team of innovators. Together, we harness engineering excellence and passion for insight to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can a make positive impact on their industries and society. If you believe that innovation can inspire the future, this is the place to fulfil your purpose and achieve your potential. #LI-SP7 Championing diversity, equity, and inclusion

Preferred candidate profile End Point Security Defender , Trend Micro - Server Identity and Access Management Sailpoint , Dilenea PAM , Microsoft PKI , Active directory Data Security Data Classification , DLP - MS pureview ,Imperva - Database activitiy monitoring , Data encryiption and clous app security

Job Title - S&CGN - Tech Strategy & Advisory - Security- GRC - -Analyst Management Level: 11-Analyst Location: Gurugram, DDC1A Must-have skills: Information Security Good to have skills: Strong problem-solving skills, adaptability to changing business needs, and expertise in cross-functional collaboration. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Manage business operations, drive performance optimization, and lead cross-functional teams to achieve organizational objectives. Principal Duties and Responsibilities We are focused on helping our valued clients to design and implement large scale transformational programs to manage cyber threats. We enable our clients to define their overall cyber strategy by designing global and pan-enterprise programs that focus on reducing threats, evaluate their priorities, strengths and weaknesses and roll out large scale changes to achieve goals. If dynamic and fast-paced environments, cross-capability exposure, freedom to work and the ability to have a real impact on a rapidly growing team appeals to you, then that is what we are looking for. You'll join an ambitious team of highly motivated security specialists who interface with CIOs, CTOs, CISOs and CFOs in addressing their complex requirements on a day-to-day basis. We are looking for a Data Security expert, with a great eye for risk reduction and continual improvement opportunities. Following are some of the responsibilities that you will handle: Advise clients in understanding the problems and challenges in data security and work collaboratively with them to enhance capabilities Gather requirements, develop use cases, evaluate vendor solutions, develop architecture & design, and test data protection and data security solutions Design people, process and technology solutions to reduce the potential of data compromise Qualifications Bachelor's Degree in Engineering MBA Degree from Tier 1 College 6+ years of experience in multiple domains with expertise in Data Security Excellent analytical skills; able to breakdown complex problems, multi-faceted problems with actionable steps Exposure to Cloud and On-prem security requirements Experience Exposure and knowledge in at least 3 of the following Data Security domains: Data Security Assessment: Develop the Data Security framework, perform the assessment and generate roadmap Data Discovery, Classification, Handling and Inventory: Design Data classification and inventory programs including the use of data discovery tools Define and maintain data classification and labeling policies based on business and regulatory requirements Collaborate with business units to understand data protection needs and ensure the appropriate protection and handling of sensitive data Develop data retention and disposition policies to ensure compliance with retention requirements and relevant regulations. Design Data Classification Schema Information Rights Management (IRM) Design the information rights management use cases Develop the information rights management schema Evaluate the tools available in the market for IRM Design the strategy to implement IRM Develop the user supporting documents to implement IRM Data Obfuscation Design and develop encryption strategy and use cases for the databases, applications, servers, etc. Design PKI, Certificate Management and Key management strategy Map industry best practices around encryption tools like Keyfactor/Hashi Data Loss Prevention Design and develop use cases for DLP across endpoints, network, cloud, etc. Design the DLP rulesets based on the identified use cases Provide a comparative analysis of the DLP solutions and fitment report Identify the ways of circumventing existing DLP controls Develop high-level and low-level design documents Database Activity Monitoring Design the Database Activity Monitoring use cases Evaluate the landscape to ensure coverage for type of databases like Oracle, MySQL, applications, etc. Evaluate the CSPs native solutions and opportunities of integrating with SIEM/PAM etc. Cloud Access Security Broker (CASB) Develop use cases for CASB Evaluate the native CSPs control and develop a comparative analysis Design the several implementation modes of CASB based on the use cases Evaluate integration of CASB with other upstream and downstream solutions Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualifications Experience: 3-5Years Educational Qualification: Any Degree

Job Title:GN - SC&O - S&P – Spend Analytics – Senior Data Scientist Management Level:8 – Associate Manager Location:Gurgaon Must have skills:Data Handling, Data Classification, AI/ML Good to have Skills: Data Mining, Python Job Summary : As an Associate Manager in Spend Analytics and Senior Data Scientist, you will be responsible for leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. You will be working closely with cross-functional teams to conceptualize and deploy platforms that identify cost-saving opportunities, enhance supplier management, and deliver business intelligence to enterprise clients. Roles and Responsibilities: Data Handling Data Collection:Participate in calls with stakeholders (internal and external, based in the US) to gather data from various sources (email, Dropbox, Egnyte, databases). Data Audit:Lead assessment of data quality, identify gaps, and create summaries as per database requirements. Data Scrubbing:Assist with creating data cleansing rules and incorporate data clarifications provided by data source owners. Data Profiling:Assist with creating multi-dimensional data views, data analysis reports, and extracts. Data Classification: Spend Classification:Analyze procurement spend using several techniques to comprehensively classify into a custom taxonomy in Accenture's spend analytics tool. Enhancements:Diligently incorporate feedback and make recommendations for process improvement. Report Generation:Create specific and opportunity spend-assessment reports/templates. Periodic Refreshes:Lead discussions with US-based stakeholders for data gathering, data quality checks, control total validation, and spend classification. Advanced Analytics and AI/ML Develop custom data models and algorithms to apply to data sets. Use machine learning tools and statistical techniques to produce solutions to problems. Implement clustering and auto classification using predictive and supervised learning techniques. Design and implement complex data models from scratch. Develop and optimize ETL processes to ensure efficient data handling and processing. Create intuitive and effective front-end interfaces from scratch. Apply AI/ML techniques to optimize supply chain management, including demand forecasting, inventory optimization, and supplier performance analysis. Utilize advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Develop and implement AI/ML models for predictive analytics and automated decision-making in supply chain operations. Industry Research Secondary Research:Conduct market research to create company and industry primers using online secondary data or information sources. Professional and Technical Skills Python:Hands-on experience with threading limitations and multi-process architecture. MySQL:Ability to integrate multiple data sources using MySQL. Strong coding knowledge and experience with several languages (e.g., R, SQL, JavaScript, Java, CSS, C++). Familiarity with statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis). Experience with advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Excellent spoken and written English communication skills, with the ability to participate in global team calls. Additional Information: Work Experience:9-11 years of relevant experience in data modeling, ETL automation, AI/ML, and front-end design. Academic Qualifications:Bachelor's or Master's degree in Engineering, Mathematics, Computer Science, or a related field. Extensive experience in handling and classifying spend data using AI/ML Techniques. Strong leadership and team management skills. Proficiency in MS Excel and MS PowerPoint. High attention to detail, accuracy, and innovative problem-solving skills. Preferred experience in supply chain management, with a focus on applying AI/ techniques to optimize operations. About Our Company | Accenture Qualification Experience:9+ years Educational Qualification:Bachelor’s or Master’s degree

Role - Data Analyst (Pyspark/SQL) Location - Bengalore/Gurgaon/Pune Type - Hybrid Position - Full Time We are looking a Data Analyst who has strong expertise into PySpark & SQL Roles and Responsibilities Develop expertise in SQL queries for complex data analysis and troubleshooting issues related to data extraction, manipulation, transformation, mining, processing, wrangling, reporting, modeling, classification. Desired Candidate Profile 4-9 years of experience in Data Analytics with a strong background in PySpark programming language.

Role & responsibilities Implement and manage data discovery solutions to protect sensitive information. Utilize latest tools for data security operations. Collaborate with cross-functional teams to ensure data security measures are aligned with business requirements. Stay updated with the latest trends and best practices in data security. Ability to communicate effectively with other teams.

Work closely with the Security Managers, Leadership and other Enterprise IT teams and be the bridge between the various departments. Strong Technical Knowledge and Experience in Data Loss Prevention, Data Classification Tool Act as the subject matter expert and system lead for Data Security. Good Experience in Administration of Technologies/Products mentioned below 1) Data Loss Prevention (Symantec / Forcepoint) 2) Data Classification Tool (Titus) SIEM Event Analysis and manual Co-relation of Events to narrow down the analysis to Threat Vector. Coordinate and work along with Threat Intel, Incident Response Team and SOC Analysts Service Delivery and Operations Support Participate in defining and refining security baselines for our systems. Interact with vendors, researchers, and other 3rd parties to collaborate on security issues or processes. Work with the Team Manager to develop and maintain security Key Performance Indicators. Troubleshoot Endpoint security agent (DLP/DCT) software issues. Responsible for tuning various security tools & technologies already in place. Review the SOPs & technical runbooks & also create new SOP documents/runbooks for innovative technologies/process. Experience/Knowledge in Database Activity Monitoring is plus Required education Bachelor's Degree Required technical and professional expertise Experience on DLP Products / Hands on experience in Agent implementation for large client Preferred technical and professional experience Experience on DLP Products / Hands on experience in Agent implementation for Large client with Monitoring Security devices.

This is a 3-month ongoing contract position. Total Exp-5 + Years The Data Security Expert is responsible for designing, implementing, and managing infra & data security measures to protect the end-to-end platform and client data. The role involves security strategy development, security framework implementation, compliance adherence, and handling security incidents.

Maintenance & Material Data creation, cleansing, classification, verification, validation, standardization, CMMS master data management as per SAP PM / MM module compliance MRO Spares Coding & develop Bill of Materials & analysis optimization.