Data Management Associate

Description

Job responsibilities

• Provide consistent guidance to ensure use case (data and AI/ML) initiatives across the organization are ideated, designed, and implemented in alignment with internal standards, as well as external obligations.


• Track and implement use case goverce frameworks, including reputational risk policies, risk mitigation protocols, and ensure that the internal standards, policies, and procedures are followed in a timely and compliant way.


• Perform impact analysis, prioritization, and triaging of submitted use cases to ensure all necessary details are documented at the correct tollgates.


• Monitor use case lifecycle KPIs and inventory risk metrics, prepare monthly reports, and escalate issues to the relevant Councils.


• Conduct regulatory change impact analysis when required and take a proactive role in remediating any issues.


• Collaborate with other lines of business on cross-line of business projects, and represent ICB in firmwide functions when required.


• Review and enhance existing goverce models to improve transparency, accountability, and compliance.


• Facilitate stakeholder workshops and interviews to share knowledge, increase visibility, and to identify goverce gaps, risks, and improvement opportunities.

Required qualifications, capabilities and skills

• Experience in AI/ML lifecycle management, data use case management, or data goverce project management.


• Prior experience working in the Office of the CDO in the BFSI industry.


• Ability to build positive working relationships, influence stakeholders, educate, and champion use case goverce principles and excellence across the organization.


• Ability to conduct goverce risk assessment related to data and AI/ML use cases, identifying risks, concerns, bottlenecks, and mitigating actions.


• Excellent verbal and written communication skills, ability to articulate risks, issues, and actions concisely for CXOs.


• Understanding of GDPR, CCPA, and the EU AI Act.

Preferred qualifications, capabilities and skills

• Knowledge of Data Goverce, Data Protection, Retention and Destruction, and Data Quality.


• Experience with AWS, SQL, Python, prior experience in data science, or a related field such as data strategy or digital transformation.


• Hands-on experience implementing AI use cases in regulated environments.


• Familiarity with AI tools or platforms such as Azure AI, AWS Sage Maker.

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