Manager, Data & AI Compliance

2 Months ago • All levels • Research Development

Job Summary

Job Description

The Manager, Data & AI Compliance is a leadership role responsible for ensuring data practices and AI activities comply with internal policies and external regulations. The manager monitors compliance, conducts adherence checks, and manages issue resolution. This role involves developing compliance policies, collaborating with various teams, performing assessments, proposing corrective actions, creating awareness programs, preparing reports, and maintaining documentation. They will also resolve non-compliance issues and work with relevant departments to address root causes. The Manager is responsible for developing, implementing, and monitoring policies to ensure compliance and mitigate risks. They will be responsible for identifying risks and developing effective mitigation plans.
Must have:
  • Develop comprehensive compliance policies for data handling and AI.
  • Conduct regular audits to assess compliance with established policies.
  • Manage resolution process for non-compliance incidents.
  • Prepare detailed reports on compliance status for senior management.
  • Conduct thorough risk assessments to identify potential areas of non-compliance.
  • Maintain up-to-date documentation of all compliance-related activities.
  • Work collaboratively with IT, legal, and other business units.
  • Stay informed about changes in laws and regulations.
Good to have:
  • Certifications like CISA, CIPP, or similar credentials.
  • Experience using compliance management tools and software.
  • Understanding of emerging trends in AI technology and their regulatory implications.

Job Details

Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company’s future with cloud and data. For more information, visit www.ness.com 
  
We are problem-solvers, architects, strategists, implementors, and lifelong learners. We collaborate with each other and with our clients to help them meet their short- and long-term technology goals. Our culture is open, transparent, challenging, and fun. 
  
We hire smart, self-starters who thrive in an open-ended environment to figure out what needs to be done and take ownership in delivering quality results 
 
Job Title: Manager, Data & AI Compliance
 
Role Description: The Manager, Data & AI Compliance is a critical leadership role responsible for ensuring all data practices and AI activities within the organization comply with both internal policies and external regulations. This involves continuous monitoring of compliance status, conducting thorough adherence checks, and managing issue resolution processes related to non-compliance incidents. The Manager will be instrumental in developing comprehensive compliance policies that are in line with industry standards and regulatory requirements. This position requires close collaboration with privacy, compliance, risk, and legal teams to stay current on changes in laws and regulations affecting the organization’s operations.
The Manager will perform regular assessments to identify potential areas of non-compliance and propose corrective actions to mitigate associated risks. Additionally, this role includes creating and implementing awareness programs designed to educate employees on the importance of adhering to governance guidelines. The Manager will prepare detailed reports that highlight key findings from audits and suggest improvements where necessary. They are also responsible for maintaining up-to-date documentation of all compliance-related activities to ensure transparency and accountability. In cases of non-compliance, the Manager plays a crucial role in resolving issues by working collaboratively with relevant departments to address root causes and prevent recurrence.
 
Key Responsibilities:
 
Policy Development:
  • Create Comprehensive Policies: Develop comprehensive compliance policies for data handling and AI usage that align with industry standards and regulatory requirements.
  • Collaboration: Regularly review and update these policies in collaboration with legal, IT, privacy, risk management, and other business units.
  • Framework Establishment: Establish a clear framework for policy implementation across the organization.
 
Adherence:
  • Compliance Audits: Conduct regular audits to assess compliance with established policies.
  • Risk Identification: Identify potential risks or areas for improvement through detailed analysis.
  • Corrective Actions: Ensure that corrective actions are implemented promptly based on audit findings.
  • Continuous Improvement: Use insights gained from audits to refine and enhance compliance strategies continuously.
 
Issue Resolution:
  • Manage Incidents: Oversee the resolution process for non-compliance incidents by coordinating with relevant departments.
  • Root Cause Analysis: Conduct root cause analysis to understand underlying issues leading to non-compliance.
  • Preventive Measures: Implement preventive measures to avoid recurrence of similar issues.
 
Reporting:
  • Detailed Reports: Prepare detailed reports on compliance status for senior management.
  • Highlight Findings: Highlight key findings from audits and recommend actionable corrective measures.
  • Provide Insights: Ensure that reports are clear, actionable, and provide valuable insights into the overall compliance health of the organization.
 
Risk Assessments:
  • Identify Risks: Conduct thorough risk assessments to identify potential areas of non-compliance within data handling and AI activities.
  • Mitigation Plans: Collaborate with stakeholders to develop effective mitigation plans addressing identified risks.
  • Monitor Effectiveness: Monitor the effectiveness of mitigation plans and make adjustments as necessary.
 
Documentation Management:
  • Maintain Records: Maintain up-to-date documentation of all compliance-related activities, including policies, procedures, audit results, training materials, and more.
  • Accessibility: Ensure documentation is easily accessible to relevant stakeholders.
  • Regular Review: Regularly review documentation for accuracy and relevance.
 
Stakeholder Collaboration:
  • Work Together: Work collaboratively with IT, legal, HR, privacy, risk management, and other business units to ensure cohesive implementation of compliance initiatives across the organization.
  • Shared Responsibility: Foster a culture of shared responsibility for compliance by engaging stakeholders at all levels.
 
Regulatory Monitoring:
  • Stay Updated: Stay informed about changes in laws and regulations affecting data handling and AI practices.
  • Policy Updates: Update internal policies accordingly in response to regulatory changes.
  • Communication: Communicate changes promptly to relevant stakeholders to ensure ongoing compliance.
 
Qualifications:
  • Bachelor’s degree in Information Technology, Business Administration, Law, or a related field (Master’s degree preferred).
  • Proven experience in a compliance or risk management role, preferably within the data or AI sectors.
  • Strong understanding of data privacy laws (e.g., GDPR, CCPA) and AI ethics guidelines.
  • Excellent analytical skills with the ability to interpret complex regulations effectively.
  • Exceptional communication skills, both written and verbal.
  • Strong project management abilities with keen attention to detail.
  • Ability to work collaboratively across various departments within the organization.
 
Preferred Skills:
  • Certifications such as Certified Information Systems Auditor (CISA), Certified Information Privacy Professional (CIPP), or similar credentials.
  • Experience using compliance management tools and software.
  • Understanding emerging trends in AI technology and their regulatory implications.
 
 
Why Ness 
  
We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world. 
  
You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression. At Ness, we treat our values of rigor, innovation, and partnership with the highest priority, and they are placed at the very core of our business — to guide us through our daily operations and interactions with our customers. 
  
We offer our employees exciting and challenging projects across a diverse range of industries, as well as the opportunity to collaborate with a group of forward-thinking, capable partners around the globe. 
  
Discover Ness Digital Engineering by visiting our website www.ness.com 
  
  
Do you feel like not checking every single requirement? 
  
At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity. Also, we are aware of the studies that have shown that women/people of color/introverts are less likely to apply to jobs unless they meet every single qualification. 
 
So, if this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills. 
 
Let’s meet and you may just be the right candidate for one of our roles. 

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