AI & Data Governance Manager

Soni's client is seeking an experienced, hands-on AI & Data Governance Manager to lead the governance and lifecycle management of enterprise data, AI systems, and models—with a focus on ERP and ETRM (Energy Trading & Risk Management) platforms. This role is responsible for designing and executing a comprehensive data governance program while overseeing operational data functions including database administration (DBA), business intelligence (BI) development, and data integration.

As a critical leadership position, this role will work cross-functionally with Legal, Security, IT, Data Engineering, Trading, Risk, and Finance teams to ensure responsible, audit-ready, and business-aligned use of data and AI across the organization.

Key Responsibilities:

Enterprise Data Governance Program

• Design, implement, and maintain a robust enterprise-wide data governance framework across ERP, ETRM, and AI-driven systems.
• Oversee master data management, data quality controls, metadata management, lineage, and stewardship programs.
• Ensure alignment of governance practices with regulatory, operational, and strategic objectives.
  
  
  

Model Governance & AI Oversight

• Develop and enforce policies for end-to-end model lifecycle management, including inventory, versioning, validation, testing, drift detection, approval gates, and decommissioning.
• Integrate governance into CI/CD pipelines and MLOps workflows through automation, guardrails, and policy-as-code.
• Monitor model performance and ensure ethical, compliant, and explainable AI deployment.
  
  
  

Operational Data Management

• Oversee DBA functions including database performance, reliability, backups, and access controls.
• Direct BI initiatives such as dashboard development, data visualization, and automated reporting.
• Ensure reconciliation and consistency of financial and transactional data between ETRM, ERP, and data lake environments.
  
  
  

Cross-Functional Leadership

• Partner with stakeholders in Trading, Finance, Engineering, and Compliance to drive adoption of governance practices.
• Provide training, playbooks, and guidance to business units on responsible data and AI usage.
• Promote scalable, automated, and user-friendly governance solutions.
  
  
  

Risk & Audit Readiness

• Lead the development of audit-ready logging, model provenance, and governance reporting systems.
• Track and report KPIs such as model inventory coverage, data quality metrics, and open risk items to senior leadership.
  
  
  

Required Qualifications:

Experience & Expertise

• 5 years of experience in data governance, data management, MLOps/model governance, or equivalent.
• Strong hands-on expertise with ERP and/or ETRM systems, particularly in financial or trading contexts.
• Demonstrated ability to lead DBA, BI, and data engineering/data quality teams.
  
  
  

Technical Proficiency

• Deep understanding of model lifecycle management (validation, reproducibility, monitoring, decommissioning).
• Familiarity with cloud data platforms, data architecture patterns, and CI/CD pipelines.
• Knowledge of ETRM processes such as trade capture, confirmations, position keeping, settlements, mark-to-market, and P&L attribution (preferred).
  
  
  

Leadership & Communication

• Proven ability to translate complex governance requirements into scalable, business-friendly controls.
• Strong cross-functional collaboration and project management skills.
  
  
  

Education & Certifications

• Bachelor’s degree in Computer Science, Data Science, Finance, Information Systems, or related field (or equivalent experience).
• Certifications such as CISSP, CDPSE, DAMA, or related data governance credentials (preferred).
  
  
  

Preferred Attributes:

• Strategic thinker able to balance compliance needs with business agility.
• Passion for data quality, AI ethics, and responsible technology deployment.
• Track record of successfully implementing enterprise-scale governance programs from design through operation.