Cybersecurity Data Loss Prevention Dlp Analyst jobs at Hp in India, Bengaluru

Description -

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Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

Description -

We are seeking a highly skilled, dynamic, and detail-oriented professional to lead initiatives in,, and. In this pivotal role, you will oversee the end-to-end management of data integrity, enable actionable insights through advanced analytics, and spearhead digitalization efforts to enhance organizational efficiency, optimize supply chain processes, and improve decision-making. The ideal candidate is a subject matter expert with deep expertise in supply chain management, data governance frameworks, analytics tools, and emerging technologies. You will apply advanced knowledge to solve complex business challenges, frequently developing innovative ideas and methods to address evolving needs. Your role will involve designing and implementing strategies to ensure data quality, enhance operational workflows, and integrate digital tools to achieve business objectives.

Responsibilities

• Develop and maintain data governance frameworks for SSC in alignment with corporate MDM, ensuring master data accuracy and consistency across systems.
• Collaborate with teams to define and standardize master data structures and maintain data integrity.
• Act as a liaison for SSC MDM initiatives, ensuring alignment between IT, business units, and external vendors.
• Provide insights into leading practices in governance, driving the SSC organization’s MDG strategy.
• Manage strategic initiatives in data governance and automation, ensuring alignment with organizational goals.
• Conduct business case analysis and financial evaluations for supply chain initiatives and programs.
• Develop and implement advanced analytical approaches and project strategies for supply chain optimization using industry expertise.
• Lead cross-functional project teams, providing mentorship and guidance to achieve objectives.
• Drives innovation and integration of new technologies into projects and activities in the big data space.
• Coordinate with functions to identify and prioritize automation ideas; interface with Automation team for develop and deployment
• Applies advanced subject matter knowledge, leads, and contributes to complex projects, and exercises independent judgment in resolving business issues and establishing policies.
• Evaluates the business consequences of integrating technology into the present and future business landscape, identifying emerging business prospects.
• Lead digital transformation efforts, optimizing workflows, processes, and system integrations.
• Evaluate and deploy new digital tools, focusing on automation and efficiency improvements.
• Partner with IT and business leaders to streamline data flows and enhance system connectivity.
• Promote automation in data collection, processing, and reporting using advanced tools like RPA and AI.
• Identify and implement process improvements, converting recommendations into impactful business plans
• Oversee training initiatives and coordinate with learning teams to enable process changes and upskilling.
• Define and monitor balanced scorecard metrics to maintain high standards of data quality
• Drive integration of emerging technologies and innovation in big data and digital transformation initiatives.
• Ensure compliance with architecture, security, and quality standards, providing feedback to mitigate risks

Education & Experience:

• Bachelor’s or Master’s degree in Computer Science, Information technology, Business Administration, or a related field.
• Typically has 10+ years of work experience, preferably in supply chain, operations, or a related field

Technical Skills:

• Proficiency in master data management tools (e.g., S4 Hana MDM, Informatica, Oracle).
• Strong expertise in data analytics tools (e.g., SQL, Python, R, Power BI, Tableau).
• Experience with cloud-based platforms like AWS, Azure, or Google Cloud.
• Knowledge of data governance and regulatory compliance.
• Familiarity with automation tools like UiPath, Automation anywhere, Power automate or other RPA software.

Soft Skills:

• Strong problem-solving and analytical thinking abilities.
• Excellent communication and stakeholder management skills.
• Ability to work independently and collaboratively in a team-oriented environment.
• Detail-oriented with a commitment to maintaining high-quality standards.
• Agile mindset with the ability to adapt to a fast-changing digital landscape.

Cross-Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope

• Impacts large functions and leads large, cross-division functional teams or projects.

Complexity

• Provides highly innovative solutions to complex problems within established policy.

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Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

• This role is responsible for providing strategic direction and leadership for the software data engineering unit including data and analytics platforms and the overall data governance, data management platforms, advanced analytics, and shared services and platforms. The role delivers solutions across the enterprise, partnering very closely with senior executives across IT and the business. The role sets vision, KPIs/Goals, manages the overall budget, provides guidance, and oversees the performance of the data engineering teams.
• Provides leadership for software data engineering, data management, information governance, enterprise information portals management, and implementation.
• Drives innovation and defines strategies on approach and tools to support dashboarding, improve data quality, and enable predictive analytics.
• Identifies strategies to integrate cross-business unit data for enterprise master data management, traditional reporting, data interfaces, and analytics.
• Harnesses data-driven machine learning and artificial intelligence to provide a capability that can be pervasively applied across the enterprise.
• Creates overall software data engineering roadmap, organizes and implements policies, principles, procedures, structures, roles, and responsibilities.
• Provides overall financial direction in order to manage the development of budgets, controls and measurements to monitor progress.
• Leverages predictive analytics to anticipate and prepare for business outcomes and to optimize business operations.
• Improves efficiencies by delivering ‘insights’ through process improvements, automation, and streamlining of manual business data requirements.
• Drives the design, development, and launch of high-quality data models and pipelines in production.
• Drives change management to ensure business standards are adopted and fosters an inclusive culture by creating conducive environment for people development, collaboration, and learning.
• Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 12+ years of job-related experience or 10-12 years of management experience, preferably in data analytics, data engineering, data modeling, or a related field.
• Programming Language/s Certification (SQL, Python, or similar)
• Agile Methodology
• Big Data
• Data Analysis/ Data Engineering / Data Modeling
• Data Pipelines / Data Warehousing /
• Extract Transform Load (ETL)
• Microsoft Azure

• DataBricks
• Python / Scala/ SQL (Programming Language)
• Scalability
• Customer Centricity
• Prioritization
• Resilience
• Team Management
• Strategic Thinking
• Impacts large functions and leads projects requiring knowledge of multiple disciplines or areas of HP.
• Uses managerial concepts and company objectives to resolve highly complex issues in creative and effective ways. May achieve goals through subordinate supervisors.
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

What a Cybersecurity Data Loss Prevention Analyst does at HP:

• Gathers requirements, proposes solutions, and implements new technologies or configures existing technologies to support changes as various data governance and protection programs mature.
• Contributes to the continuous improvement and maturation of HP’s Data Loss Prevention tools and methods.
• Creates and maintains comprehensive documentation for processes.
• Monitors alerts and investigates possible policy violations or data loss events.
• Understands company Cybersecurity policies and directs employees to relevant policy language and/or authorized technologies and processes.
• Assists in preparing training materials and delivering training as needed.
• Engages with other cybersecurity teams as needed, ensuring smooth hand-offs and fostering strong partnerships.
• Prepares and presents reports, identifying and communicating risks as required.
• Monitors industry cybersecurity threats, best practices, regulatory changes, corporate updates, and geopolitical changes impacting security.

• Advises on improvements to data handling procedures and applies strong governance concepts.

Individuals who thrive in this role at HP typically have:

• Experience configuring, administering, and using Zscaler, Forcepoint, or similar technologies.
• 3-5 years of relevant experience developing policy, reviewing data loss event alerts, and/or conducting investigations.
• Technical Cyber Security Certification through one of the recognized bodies a bonus: SANS, ISACA, (ICS)2, CompTIA.
• Solid working knowledge of industry frameworks and standards and best practices.
• Results-driven, strong analytical skills, ability to connect the dots to make better decisions.
• Fluent in oral and written communications in English.
• Able to work effectively in a team and with various stakeholders at various organizational levels.
• Good responsiveness, organizational, and time management skills.
• Proactive in seeking problem resolution.

• Data Loss Prevention

• Cybersecurity operations
• Cybersecurity governance
• Cybersecurity policies
• Data Analysis
• Risk identification
• Automation
• Issue tracking
• Security controls
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

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Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

Responsibilities:

• Take ownership of PKI-related projects within the HP Cyber IAM team.
• Proactively manage HP PKI ticketing queue, to assist our consumers (Internal HP, and Partners)
• Analyzes vulnerabilities, attacks, or threats to determine risk and, adversary intent, and prioritize mitigation or response.
• Owns resolution of HP security issues related to security vulnerabilities related to PKI, incidents, and threats.
• Recommends and coordinates the development, enhancement, organization, and maintenance of HP’s PKI, and SSL automation security solutions, including research and security system analysis.Contributes HP's security response, threat, and resolution knowledge base by aggregating and incorporating the analyses/outputs of security professionals.

Knowledge and Technical Skills:

• Experience with PKI vending, and SSL automation.
• Experience with MPKI, and various vendors that provide vending and MPKI services.
• In-depth Cyber and IT security knowledge.
• In-depth understanding of Cyber and IT security risks, threats, and prevention measures.
• In-depth security system analysis skills.
• In-depth understanding of security standards and best practices, especially when related to PKI
• Appreciated: Understanding of networking and network security.
• Appreciated: Understanding of network monitoring and protocols.
• Appreciated: Understanding of relevant programming and scripting languages (Perl, python, PowerShell, HTML, JavaScript, etc.).
• Appreciated: Understanding of one or more of the following:
  • Off-the-shelf vulnerability assessment products and tools.
  • Network security devices (firewalls, proxies, NIDS/NIPS, etc.).
  • Platform and application-layer penetration testing techniques.
  • Adversary techniques, tactics, protocols, and related countermeasures.
  • Network security monitoring.
  • Digital Forensics.

Soft Skills:

• An independent worker with an internal HP consumer-focused team player mindset.
• Demonstrated excellent oral and written English communication skills.
• Strong communication, presentation, and interpersonal skills.
• Proven abilities in problem management and process analysis.
• Ability to create, manage and enhance HP service consumer relationships.
• Record of taking ownership of issues and following through to resolution.

Education and Experience:

• Bachelor’s or equivalent experience, preferably in computer science, PKI engineering, or a related area of study.
• Technical Cyber Security Certifications are appreciated.
• Typically, 6+ years of relevant experience.

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Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

Job Summary

• The Dynamics Senior Operations Lead will oversee the operations and continuous improvement of the CDAX platform to ensure system stability, efficiency, and enhanced user experience. This role requires a strong focus on data-driven insights, developing KPIs, and creating dashboards to monitor system health and performance. The ideal candidate will lead key initiatives, manage vendor relationships, and provide technical expertise to drive operational excellence.
  

Responsibilities

• Oversee day-to-day operations of the CDAX platform, ensuring system stability, efficiency, and high-quality user experience.
• Lead software application development and operational improvement projects, allocating resources effectively to meet business priorities.
• Define and document product requirements, user stories, and project plans while ensuring execution aligns with agile methodologies.
• Develop and maintain KPIs and dashboards using Power BI to monitor operational performance, system health, and vendor compliance.
• Optimize data queries including SQL stored procedures and Kusto SQL queries for real-time insights and performance monitoring.
• Provide technical support and expertise for the development, implementation, and maintenance of high-performance systems.
• Drive innovation by integrating new technologies and automating repetitive tasks to reduce manual efforts and improve productivity.
• Manage relationships with internal and external stakeholders, including vendors, ensuring SLA adherence and operational excellence.
• Provide tangible feedback to improve product quality and minimize risks by reviewing and evaluating design and project activities.
• Collaborate with cross-functional teams to ensure successful delivery of projects, including Azure Data Factory, Power Platform, and PCF-based solutions.
• Lead and mentor junior team members, providing guidance and technical leadership to drive project success and team development.
• Identify patterns in recurring incidents, automate anomaly detection, and deliver proactive solutions to enhance system reliability.
• Enhance user satisfaction by implementing self-service solutions and improving response times through streamlined operations.
• Ensure compliance with standards and guidelines while proactively identifying and resolving system vulnerabilities and technical debt.

Knowledge & Skills

• Proficiency in Dynamics 365, Azure, Application Insights, Kusto SQL, Power BI, SQL queries, and stored procedures.
• Experience with Azure Data Factory, Power Platform, and developing PCF controls.
• Proficiency in programming languages like .NET, Java, Python, PHP.
• Expert knowledge of JavaScript frameworks such as jQuery, React, Angular, Node.js, and Ember.js.
• Advanced understanding of HTML5, XML, XSLT, JSON, and responsive/adaptive design.
• Knowledge of SQL and No-SQL databases.
• Experience with CDNs and web acceleration layers such as Akamai.
• Experience with GitHub and Git-based agile workflows.
• Strong understanding of software testing methodologies, including writing and executing test plans.
• Experience with cloud technologies – Amazon Web Services / Microsoft Azure.
• Experience with CI/CD concepts and practices.
• Experience with REST APIs as an application-developer consumer and/or as a service API designer or provider.

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Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

• This role is responsible for data collection procedures, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database. The role ensures data integrity and compliance by performing data cleansing and data validations. The role performs root-cause analysis and recommends or executes corrective actions when data related system problems occur. The role provides quantitative rationale for executing customer and product strategies and tactics. The role applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert.
• Leads one or more project teams of other data engineers for all stages of design and development for complex, secure and performant data solutions and models, including design, analysis, coding, testing, and integration of structured/unstructured data.
• Reviews and evaluates designs and project activities for compliance with architecture, security and quality guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
• Provides domain-specific expertise and overall data systems leadership and perspective to cross-organization projects, programs, and activities.
• Drives innovation and integration of new technologies into projects and activities in the big data space.
• Collaborates and communicates with project team regarding project progress and issue resolution.
• Represents the data engineering team for all phases of larger and more-complex development projects.
• Assists in the coaching and training of business analytics solution users to enhance business decision-making capability.
• Ensures and maintains a high level of data integrity by using tools to monitor and mass update data changes.
• Builds and manages relationships throughout the organization.
• Provides guidance and mentoring to less experienced staff members.
• Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field.
• Programming Language/s Certification (SQL, Python, or similar)
• Agile Methodology
• Amazon Web Services
• Apache Hadoop
• Apache Kafka
• Apache Spark
• Big Data
• Computer Science
• Data Analysis
• Data Engineering
• Data Modeling
• Data Pipelines
• Data Warehousing
• Extract Transform Load (ETL)
• Java (Programming Language)
• Machine Learning
• Microsoft Azure
• Python (Programming Language)
• Scala (Programming Language)
• Scalability
• SQL (Programming Language)
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity
• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.