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BS/BA degree in Enterprise Risk Management, Information Security, Computer Information Systems/Management Information Systems or related discipline or equivalent experience. Experience administering Process Unity VRM tool or similar platform. Proficiency in comprehending the dynamics of third-party relationships, including vendors, partners, suppliers, and contractors. Knowledge of the risks associated with external entities that interact with an organization's systems or process confidential information. Ability to assess risks across various dimensions (such as information security, privacy, business continuity, financial, etc.). Understanding of data privacy and cybersecurity regulations (such as GDPR, CCPA, DORA, etc.) Knowledge of business continuity planning and disaster recovery and ability to evaluate third-party capabilities in maintaining business resiliency. Knowledge of security practices in cloud environments (such as data encryption, access controls, and compliance with regulations). Familiarity with Software as a Service (SaaS) and potential risks. Experience with information security management frameworks such as AT101 SOC 2, ISO, ITIL, COBIT, NIST to include development of policies, process, and procedures within the environment. Excellent verbal and written communication skills to effectively communicate with employees, vendors, third-party partners, customers, business partners, and all levels of management. Experience supporting regulatory and compliance programs (such as HIPAA, PCI, MA 201 CMR 17, FedRAMP). Experience designing and implementing controls within corporate networks to include computer/network security and operating systems such as UNIX, Linux, and WINDOWS, as well as LAN/WAN internetworking protocols such as TCP/IP and network perimeter protection (firewalls). Experience leveraging Enterprise Risk Management and Issues Management applications in LogicGate platform. CISA, CISM, CRISC, CISSP, CTPRP, or similar security certification.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://apply.ukg.com/careers/job/893378648900", "isPrivate": false, "latlongs": "28.5355161,77.3910265"}, {"id": 893378633846, "name": "Sr Cyber Risk Analyst", "location": "Noida,UP,India", "locations": ["Noida,UP,India"], "hot": 0, "department": "Security/Privacy & Risk", "business_unit": "Security/Privacy & Risk", "t_update": 1744964584, "t_create": 1728272623, "ats_job_id": "7c08513b-a79d-49cb-9ddb-d9dcf165f6b0", "display_job_id": "SRCYB009200", "type": "ATS", "id_locale": "SRCYB009200-en", "job_description": "Contribute risk and compliance expertise and support to assist in the achievement of cloud audit/compliance programs. (1) Bachelor of Engineering (B.E.) or Bachelor of Technology (B.Tech.) degree in Computer Science or IT audit related discipline or equivalent experience. (2) A minimum of 4-5 years' work experience in information security governance and risk functions (such as IT audit or IT Risk Management). (3) Experience with information security frameworks including, SOC 2 or ISO27001/17/18 or ITGC audits. (4) Experience in risk and issue management (identification, assessment, mitigation/ treatment, tracking, escalations). (5) Experience in Security Monitoring of IT processes or IT Processes Testing (monitoring or testing of IT processes, such as, Problem, Incident, Change, Backup, Endpoint Protection/ Antivirus, Logical Access, Patch, Servers, Operating Systems, Databases and Networks). The candidate should've security/ risk related working experience at least to some of these processes, if not on all of these. (6) Experience in working closely together with business/ stakeholders for risks and issues identification and resolution. (7) Experience in Reporting or Metrics or KPI to measure effectiveness of controls. (8) Familiarity or Experience with Governance, Risk and Compliance (GRC) tools, reporting and tracking. (10) Knowledge or Experience working in Cloud environment from security/ risk standpoint (preferred). (11) CISSP, CRISC, CISA or similar security certification preferred.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://apply.ukg.com/careers/job/893378633846", "isPrivate": false, "latlongs": "28.5355161,77.3910265"}, {"id": 893381198342, "name": "Mgr. 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Cross-Functional Collaboration: Partner with other engineering leaders, data scientists, product managers, and directors to align on strategic goals and deliverables. Collaborate closely with cross-functional teams to break down complex engineering tasks and drive the execution of the AI roadmap. Agile Leadership: Lead your team in an agile environment, participating in sprint planning, daily stand-ups, code reviews, and retrospectives. Help the team manage competing priorities while maintaining focus on delivering high-quality AI solutions. Technical Excellence: Promote best practices in software development, code quality, testing, and deployment. Drive the adoption of modern engineering practices like CI/CD, automated testing, and cloud-based AI/ML solutions to ensure the delivery of secure, scalable AI applications. Innovation: Stay up to date with the latest advancements in Generative AI and machine learning. Foster a culture of continuous learning, encouraging engineers to grow their technical skills and experiment with emerging technologies to contribute to the company's thought leadership in AI. Stakeholder Communication: Act as a liaison between the AI team and other stakeholders, effectively communicating progress, risks, and technical insights to non-technical leadership and product teams. Experience: 7-10 years of experience in software engineering, with at least 2-4 years in a leadership or management role, overseeing AI or machine learning teams. Proven track record of leading and delivering AI/ML and Generative AI initiatives at scale in fast-paced, dynamic environments. Technical Skills: Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. 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Knowledge of best practices for managing sprints, tasks, and project timelines. Communication: Excellent verbal and written communication skills. Ability to communicate complex technical concepts to non-technical stakeholders and build strong working relationships across the organization. Experience working with large language models (LLMs) or fine-tuning open-source models like GPT. Familiarity with modern AI development tools, such as Jupyter notebooks, Kubernetes, Docker, and CI/CD pipelines. Experience in high-compliance or enterprise-grade environments with a focus on AI ethics, privacy, and security. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field. 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