Summary:
We are seeking a highly experienced and strategic Senior Manager Data Governance Specialist to lead and strengthen our data governance framework within a complex and highly regulated environment. This role is pivotal in ensuring the responsible, compliant, and ethical use of data across multiple jurisdictions. The successful candidate will provide comprehensive oversight and drive compliance on data risks, cross-border data transfers, and AI usage within processes, ensuring adherence to both regulatory requirements and internal standards.
Responsibilities:
- Provide oversight and SME support to Process Owners in completing Data Risk Assessments in partnership with the Chief Data Office, ensuring data risks are assessed from inception.
- Establish and enforce effective oversight and management of Data Privacy controls, including maintenance of Privacy Notices, Cookies Policy, Consent Management solutions, and Data Breaches, to ensure compliance with regulatory requirements and internal standards.
- Optimize the process for Data Subject Requests (DSR) by streamlining workflows and ensuring clear communication channels. Collaborate with stakeholders including HR, IT, DSP, DPN, Legal, and Compliance advisors to facilitate timely and accurate handling of DSRs.
- Partner with Process Owners to identify opportunities for improvement, embed privacy-by-design into processes, systems, and initiatives, and support data-driven decision-making to achieve strategic objectives.
- Assess and implement remediation action plans to comply with Country Data Sovereignty regulations, including Data Localization and Cross Border Data Restrictions.
- Conduct regulatory horizon risk scanning for Data Privacy, Data Sovereignty, and Responsible Artificial Intelligence to continuously monitor evolving laws and regulations.
- Support the Federated AI governance forum to review AI use-cases for approval within the forum.
- Enforce RAI Governance through collaboration with RAI CDO and HCAI team to simplify and optimize RAI review process, ensure controls are adhered to, and facilitate expansive AI adoption.
- Collaborate and support Process Owners in the RAI review process to accelerate approval of AI use cases to achieve the overall Group RAI strategic objectives.
- Conduct regular training and awareness sessions to equip colleagues with relevant Data Privacy and Data Sovereignty knowledge.
- Support Data Governance initiatives to ensure compliance with the Group Data Conduct Policy and associated internal standards.
- Collaborate with relevant stakeholders to drive program deliverables and reduce data risks.
- Manage audit requests and provide timely management responses to findings, including remediation actions.
- Ensure controls are measured and metrics are provided to all relevant forums, maintaining a detail-oriented approach with a focus on structured documentation.
Requirements:
- Bachelor&rsquos/Master's Degree in Computer Applications, Computer Science, Information Technology, or equivalent.
- Minimum 8 years of experience in the financial services industry, preferably in HR or SCM function, with a focus on Data Governance, Data Privacy, Data Sovereignty, and Responsible Artificial Intelligence skills.
Required Skills:
- Strong understanding of major data protection regimes (e.g., GDPR, PDPA, PIPL).
- Excellent organizational and leadership skills with the ability to manage multiple deadlines and effectively prioritize.
- Effective communication, collaboration, and stakeholder management skills, with the ability to explain privacy concepts in a practical, business-friendly way.
- Strong analytical skillset with high diligence and strong organizational skills with a self-motivated approach to delivering outcomes.
- Strong verbal and written communication skills with experience in preparing and presenting detailed and executive-level material.
- Strong sense of personal ownership and responsibility in accomplishing the organization&rsquos goal. Confident and willing to roll-up sleeves to drive success.
- Able to get things done in a quick-paced environment. Transparent and open around what does not work and what does, proposing changes where necessary.
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