About the role

Senior AI & Data Governance Engineer for Smartsheet developing AI and data governance frameworks ensuring compliance and data management. Collaborating with cross-functional teams on security and privacy regulations.

Responsibilities

Develop and enforce AI&Data governance frameworks, including bias detection, explainability, and model lifecycle management • Ensure adherence to data privacy laws and security regulations, managing risks in AI and data pipelines • Implement data lineage, metadata, data management, and quality frameworks • Implementing tools to track data from its source to the final AI output. If a model breaks, you need to know exactly which data point caused the drift • Define roles for data custodians, users, and AI developers, promoting transparency and fairness. • Partner with Legal, Data Engineering, and Security teams to embed security and privacy into AI workflows and data products • Implement governance tools (e.g., Collibra, Informatica) and automate audit procedure • Oversee data stewardship to ensure data accuracy, integrity, and privacy throughout its lifecycle • Designing and enforcing the rules for how data is collected, stored, and used—specifically focusing on data privacy (GDPR, CCPA) and AI regulations (like the EU AI Act). • AI Ethics & Bias Mitigation: Establishing "Responsible AI" standards. This involves auditing models for algorithmic bias, ensuring transparency (Explainable AI), and managing the ethical implications of automated decision-making • Risk Management through Identification of Shadow AI (unauthorized use of AI tools) and managing the risks associated with third-party LLM providers

Experience in AI Governance across foundational pillars like AI Organization, Legal, Regulatory Compliance, Ethics, Transparency, Interoperability, Data/AIOps Infrastructure, AI protection and Security • AI Risk Assessment & Management, Auditability & Transparency, AI Policy Development • Databricks AI Governance Framework (DAGF), Databricks Security Framework (DASF), MLFlow, Unity Catalog, RAG Governance • Programming languages like Python and SQL • Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable • In-depth understanding of AI, GenAI, LLMs, data quality assessment, and metadata management. • Regulatory Knowledge in GDPR, EU AI Act, and industry-specific regulations (e.g., HIPAA, Financial Services) • Lineage Tracking with automatic capture of end-to-end data flow (from ETL to BI/AI) to understand dependencies. • Auditability with centralized logs to allow compliance teams to monitor access and usage of data and AI models • Knowledge of tools for Model Auditing towards Bias detection, monitoring, and mitigating bias • Understanding of data masking, encryption, and SOC2 • Certifications like CIPP (Privacy), CDMP (Data Management), or specialized AI ethics certifications is preferable • Enterprise SaaS software solutions with high availability and scalability • Legally eligible to work in India on an ongoing basis.

At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. • You'll have the freedom to explore, push boundaries, and grow beyond your role. • We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. • Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. • It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. • All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.