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Consultor de governança de acesso a dados - híbrido

Brasília
HCLTech
Consultor SEM
Anunciada dia 14 dezembro
Descrição

We are seeking a proactive Safe Data Exception Program resources who will own the end-to-end governance, monitoring, and continuous improvement of the Safe Data Exception program. This role partners with cross-functional teams to assess and approve/reject exception requests (USB, FileShare, Webmail), drive a reduction in exceptions, manage incident follow-ups, and deliver knowledge, training, and process enhancements to safeguard J&J data.


Key Responsibilities:


- Monitor and evaluate all new Safe Data Exception requests (USB, FileShare, Webmail) from a Data Security perspective.


- Target: achieve an annual 20% reduction in exceptions.


- SLA alignment: resolve pending requests within the same day or the next business day.


- Document decisions with clear justification and communicate outcomes.


- Approve/Reject requests with rationale and share viable alternatives to protect data integrity and security.


- Daily incident management and dispute follow-up for Safe Data Exception reviews.


- Track inquiries, ensure timely responses, and propose alternative solutions when requests are rejected.


- Partner with the PSE team for error handling and with the GSD helpdesk for incident tickets and follow-ups.


- Lead program enhancements by identifying automation or process improvements.


- Evaluate workflows, remove bottlenecks, and explore automation opportunities to prevent data exfiltration


- Develop Knowledge Articles (KAs), instructions, and training materials for Safe Data Exception Review.


- Create and maintain up-to-date process documentation, FAQs, and training resources.


- Manage the creation and delivery of comprehensive project documentation, including timelines, storyboards for workstreams, and recommended timelines for operational enhancements.

- Produce and review Monthly, Quarterly, and other project status reports, incorporating feedback on identified gaps.


- Ensure stakeholders receive clear updates on progress, risks, and issues to support informed decision-making.


- Remain adaptable to additional data security activities based on resource availability and initiative criticality.


Qualifications:


- Bachelor’s degree in Information Security, Computer Science, or a related field

- 1-3 + years of experience in information security, data protection,, or data governance related area.


- Demonstrated experience with exception management, data exfiltration risk, and secure file/USB/webmail handling and be able to explain alternative secure options.


- Strong incident management and customer/stakeholder communication skills.


- Proven ability to collaborate with cross-functional teams (e.G., PSE, GSD) and to manage competing priorities.


- Experience developing knowledge articles, training materials, SOPs, and process documentation.


- Project management experience with the ability to create clear workflows, timelines, and training resources.


- Familiarity with risk assessment, data governance, and relevant regulations (e.G., data privacy frameworks).

- Proficiency with common office tools and project management software

Skills and Competencies

- Analytical thinking and problem-solving with a keen eye for risk


- Excellent written and verbal communication


- Stakeholder management and collaborative mindset


- Process improvement and automation mindset


- Attention to detail and ability to document complex procedures clearly Metrics and KPIs



- Annual target: 20% reduction in Safe Data Exceptions


- SLA adherence: pending requests resolved within same day or next business day


- Quality and speed of incident responses and resolutions


- Growth and effectiveness of knowledge articles and training materials

- Timeliness and usefulness of status reports and executive updates


Work Environment


- Cross-functional, dynamic environment requiring coordination with Security, PSE, and GSD teams


- Global scope with potential for remote/hybrid work


- Proactive, data-driven decision-makin

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