Sr Data Engineer - AI & Data Governance

governance policies, standards, and procedures**, including data quality, lineage, and metadata management.

• Create clear, accurate, and timely compliance reports for management, audit teams, and regulatory stakeholders.

• Coordinate closely with internal and external auditors, providing documentation, evidence, and explanations to support audit activities.

• Ensure governance and security controls are embedded in cloud environments, with a strong focus on AWS best practices, encryption, and cloud security frameworks.

• Safeguard personal and sensitive data through robust protection measures, encryption standards, and compliance with data privacy regulations (e.g., GDPR, CCPA).

• Develop and deploy automated and AI-driven audit solutions (e.g., anomaly detection, predictive risk scoring, automated control testing) to proactively identify compliance risks and streamline monitoring.

• Support governance practices across analytics platforms such as Databricks, Tableau, and Power BI, ensuring compliance is integrated into reporting workflows.

• Communicate findings effectively to both technical and non-technical audiences, fostering a culture of compliance, security, and data stewardship.

Required Qualifications

• 5-8 years of professional experience in SOX compliance and data governance.

• Strong understanding of cloud technologies and security in cloud environments, particularly AWS.

• Knowledge of personal data protection, sensitive data handling, and encryption practices.

• Basic proficiency in SQL and familiarity with data and analytics platforms.

• Proven ability to create compliance reports and communicate findings clearly.

• Strong analytical and problem-solving skills, with attention to detail in compliance and governance processes.

• Exposure to AI/ML concepts and ability to apply them in compliance monitoring and audit automation.

Preferred Qualifications

• Hands-on experience with Databricks, Tableau, or Power BI.

• Exposure to enterprise data catalog or metadata management tools.

• Experience applying AI/ML frameworks to compliance or governance use cases.

• Background in cross-functional collaboration within large-scale data environments.

Leadership Skills:

• Ability to work effectively with multi-disciplinary teams (e.g., UX, GE Business teams) and understand the inter-dependencies between them.

• Ability to showcase teamwork skills to achieve common goals, provide resolutions and share ideas.

• Demonstrate the presentation and influencing skills.

Additional Information

Relocation Assistance Provided: Yes