Data Security Job Description

Data Security Job Description

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Data security provides guidance and familiarity with various regulatory and audit frameworks such as GLBA, HIPAA, SOX, PCI, and applicable state, federal and international laws.

Data Security Duties & Responsibilities

To write an effective data security job description, begin by listing detailed duties, responsibilities and expectations. We have included data security job description templates that you can modify and use.

Sample responsibilities for this position include:

Maintain applicable product and process knowledge to ensure IIROC, SOX processes and department policies are adhered to
The Database Security Manager will be responsible for establishing database and application user account security standards
Implement procedures that support the Data Security function
Acts as a custodian of the Information Security Program, and provide periodic updates to the relevant management levels
Participate in the global program run centrally by Connectivity Assurance Data Analytic Tower in US with specific focus around ensuring that APAC impacted connectivity are timely identified and adequately syndicated / acknowledged by APAC LOBs
Conceptualize, syndicate, and produce periodic risk metrics with multiple subset views at APAC region, country, and LOBs level by using the Risk-notes data points completed by the Cyber reviewers for every CAP tickets
Generate the APAC view / report with regards to the scope, progress, and trend from the global program run centrally by Connectivity Assurance Data Analytic Tower in US
Support the enhancement of the operational metrics reporting and its transformation towards becoming operational risk metrics that can provide strategic and meaningful insight into connectivity risk exposures and trends for LOBs which can then be used to spawn measurable risk reduction actions by the respective LOBs
Support the syndication and presentation of connectivity risk metrics to APAC LOBs
Support any audit or regulatory RFIs (request for information) that require data analytic actions into connectivity information database

Data Security Qualifications

Qualifications for a job description may include education, certification, and experience.

Licensing or Certifications for Data Security

List any licenses or certifications required by the position: CISSP, GIAC, PSP, CPP, CEH, CISA, CISM, SANS, ITIL, MCTS

Education for Data Security

Typically a job would require a certain level of education.

Employers hiring for the data security job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Collage Degree in Computer Science, Education, Technical, Information Technology, Engineering, Information Systems, Business, Information Security, Science, Statistics

Skills for Data Security

Desired skills for data security include:

Windows
Microsoft Azure Information Protection suite within an enterprise
SOX
HIPAA
CCPA
PCI DSS
Information security principles
Linux
SQL
Various unit testing frameworks

Desired experience for data security includes:

Strong academic training and working knowledge of applying machine learning techniques such as logistic and multivariate regression, decision/CART trees, ensemble learning such as random forest, bagging, boosting, Bayesian learning, clustering, recommendation algorithms such as collaborative filtering, matrix factorization, kNN
Additional certifications such as MCSP, CCIE, CCNA, CCNP, and CCSP preferred
Web Proxy engineering, router/switch engineering, SMTP engineering, protocol analyzers, TCP/IP protocol stack and the OSI layer, content management systems, SSL accelerators, VPN, web servers (IIS, Apache)
Symantec Data Loss Prevention software knowledge a plus especially relating to DLP policy development, management and troubleshooting
Symantec Data Insight knowledge configuration of servers with filers and ability to troubleshooting Indexer and Collector servers
Partner with and facilitate between the Application Development, Risk and Control teams to determine the best security solution for a specific application based on the risk profile and data protection requirements the technical capabilities and limitations of the standard approved security tools

Data Security Examples

1

Data Security Job Description

Job Description Example
Our company is looking to fill the role of data security. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data security
  • Assists in monitoring and analyzing attempted efforts to compromise security protocols
  • Reviews computer logs and messages to identify and report possible violations of security
  • Is responsible for managing people, hiring, performance reviews, compensation, and determining promotions
  • Monitor, maintain and tune Data Security systems and policies
  • Investigate Data Security events
  • Review system and audit logs on a regular basis for indications of attacks
  • Review output and alerts from Data Protection systems for evidence of insider threats, misuse, or compromise
  • Data Loss Prevention (DLP) Engineering - Email, Endpoint, Web, File Discover
  • Implement performance of data center security standards, policies and practices
  • Develop security plans for on-site special events and other unique security situations to assure proper access control and evacuation procedures are followed
Qualifications for data security
  • Security frameworks/standards (ISO 27002, PCI compliance, NIST/DISA guides)
  • Autodidact
  • Experience with Hadoop tools
  • Experience with Microsoft Power BI desirable (not required)
  • Experience evaluating progress against schedule and goal and proactively identifying areas of risk
  • Experience in analyzing data to identify key themes and insights, draw conclusions and solve problems
2

Data Security Job Description

Job Description Example
Our innovative and growing company is looking to fill the role of data security. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data security
  • Design algorithms and rulesets for malicious activity detection
  • Build machine learning models for abuse prevention systems
  • Monitor product abuse metrics and alerts, contribute to improving them
  • Understand abuse mechanisms throughout the product
  • Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment
  • Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services
  • Report results in a matter that is statistically rigorous
  • Lead machine learning and data science based projects to improve our company and products’ security postures, enhance the organization’s ability to detect and analyse security threats, and develop new and advanced security features
  • Research and apply state-of-the-art technologies in machine learning, big data and data wrangling to correlate and analyze large volumes of security telemetry, threat indicators and customer logs
  • Develop and deliver proofs-of-concepts for machine learning / data science applications capable of serving high probability true positive threat detection in near real-time
Qualifications for data security
  • Knowledge necessary to keep responsibility for the Application and Data security service delivery in line with industry standards and service management frameworks
  • Bachelor/Graduate degree in Computer Science, Mathematics, or a related technical field and a minimum of 5 years related professional experience
  • At least 2 years experience working with DLP, DRM, or other Data Security technology (internal, perimeter and cloud), proxy, and data security
  • At least 2 years with external customers
  • At least 2 years experience developing and communicating recommendations to non-technical business areas
  • At least 2 years process management
3

Data Security Job Description

Job Description Example
Our innovative and growing company is hiring for a data security. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for data security
  • Develop end-to-end machine learning applications, including identification of new use cases, hypothesis formulation, and testing
  • Automate analyst workflow and utilize data visualization & statistical analysis for researching and presenting information about new vulnerabilities and threat detections
  • Provide recommendations for data collection requirements, and policy configurations of deployed security technologies
  • Architects, prioritizes, coordinates and communicates the choice of security
  • You will drive data security across the enterprise including IT systems with our 25+ R&D labs and high performance Tech Centers
  • Provides security engineering with DIACAP, DCID 6/3, ICD-503, and/or NIST Risk Management Framework (RMF)
  • Ensure that all application releases, upgrades, patches, and infrastructure upgrades and modifications are in line with strategic direction of all platforms
  • Managerial oversight of the performance of technical evaluation and testing of hardware and software for any possible impact on the security of the systems
  • Manage and direct access and security activities in a multi-platform environment to ensure correct user access to systems
  • Manage the establishment of user ids and passwords for a multi-platform environment to assign appropriate access to the network
Qualifications for data security
  • Experience in data-driven cyber security solutions architecture, development, and deployment
  • At least 3 years of experience in Leading Stakeholder Engagement
  • 10+years of experience working health related data and regulations
  • Deep knowledge of US data security laws and regulations
  • Strong understanding of international data security laws and regulations particularly with the EU nations
  • Successful track record of implementing data security and governance programs
4

Data Security Job Description

Job Description Example
Our growing company is looking for a data security. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data security
  • Deliver on program goals and manage stakeholders expectations
  • Responsible for the management of project and program schedule, scope, cost, risks, quality and resources
  • Manages cross-functional projects of medium to high complexity
  • Manage a team of Data Center Security Specialists, responsible for daily operations and security standards on site 24/7
  • Provide thorough analysis of security risks and development of appropriate mitigating strategies
  • Collaborate with the onsite IMDC management team on Safety and Business Continuity programs, procedures and protocols
  • Coordinate Emergency Response and related evacuation planning and drills
  • Manage AED training and response
  • Coordinate the site Emergency Action Plan, Fire Protection Plan, and Disaster Recovery Plan
  • Responsible for understanding the data landscape across United both within the technology teams and within the business
Qualifications for data security
  • Experience with compliance in health industry, with specific knowledge of medical records, patient privacy & confidentiality
  • Demonstrated management capabilities, including planning and decision making, identifying priorities, driving project to successful completion, and maintaining a focus on high standards and quality
  • Sound understanding of financial management and departmental budgeting
  • Able to perform security risk assessments
  • Law Enforcement or Military background
  • Perform data analysis and create benchmarking to support risk assessments and threat identification
5

Data Security Job Description

Job Description Example
Our company is looking for a data security. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data security
  • This role will be responsible for working across the organization to implement data protection and privacy strategies that protect our customer and employee data, but at the same time do not prevent progress within the business environment
  • Responsible for the technical planning and implementations of data security technology across multiple platforms
  • Responsible for interfacing with our compliance, audit and legal teams on matters of mutual interest
  • Ownership of security metrics and incident analysis across the organization – must be able to document and communicate to appropriate audiences
  • Coordinating the execution of all IT Security tools, technologies, people, processes and procedures enterprise-wide, ensuring internal and external standards are followed
  • Must collaborate well with other IT teams across the organization
  • This role is both strategic and tactical – must have strong technical capabilities in the security arena, particularly in the areas of encryption, data loss prevention and other data management technologies strong leadership skills with their team, and across other teams
  • Must be able to communicate and articulate security matters to all layers of the organization
  • Providing United’s Leadership team updates on our data security posture
  • Provide leadership in MARS (Minimum Acceptable Risk Standards) and Security Audits that occur during the project
Qualifications for data security
  • Interest/passion for security work
  • Machine learning skills, capable of training and evaluating machine learning models
  • Basic programming skills (understand python code and make minimal changes)
  • Bachelor's degree in security management or business administration/operations management
  • PhD in machine learning, statistics or a related quantitative field preferred
  • Ability to develop prototypes by manipulating and analyzing complex, high-volume, high-dimensionality data from various sources

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