Senior Data & AI Governance Architect

Socium - Teams Done Differently; Metro Manila; Vor Ort; PHP 1.200.000 - 1.800.000; Vollzeit

Zusammenfassung

Socium - Teams Done Differently is seeking a Senior Data/AI Governance Specialist to develop and implement governance frameworks across Data, Analytics, Data Science, and AI/ML. You will ensure models and data-driven solutions are properly governed, monitored, compliant, and aligned with responsible AI and risk management standards.

Responsibilities include establishing policies and standards across the model lifecycle, overseeing validation and monitoring, and partnering with Data Science teams

Qualifikationen

• Bachelor’s or Master’s degree in a related field.
• 5+ years of experience in Data Science, Analytics, AI/ML, Model Governance, Model Risk, or Data Governance.
• Experience implementing Data, Analytics, or AI/ML governance frameworks.

Aufgaben

• Develop and maintain governance frameworks for Data, Analytics, and AI/ML models.
• Establish policies, controls, and standards across the end-to-end model lifecycle.
• Oversee model validation, performance monitoring, model drift, documentation, and remediation.
• Partner with Data Science teams to embed governance across model development, deployment, and monitoring.
• Identify governance, data quality, process, and control gaps and recommend improvements.
• Support Responsible AI, data privacy, regulatory compliance, and model risk management.
• Work closely with Data Science, Risk, Compliance, Technology, and business stakeholders.

Kenntnisse

Data governance

Model governance

Risk management

Ausbildung

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or related field

Tools

Python

SQL

R

MLflow

Power BI/Tableau

Jobbeschreibung

Socium - Teams Done Differently is seeking a Senior Data/AI Governance Specialist to develop and implement governance frameworks across Data, Analytics, Data Science, and AI/ML. You will ensure models and data-driven solutions are properly governed, monitored, compliant, and aligned with responsible AI and risk management standards.

Responsibilities include establishing policies and standards across the model lifecycle, overseeing validation and monitoring, and partnering with Data Science teams