Job Description
For over 20 years, Smartsheet has helped people and teams achieve–well, anything. As the Intelligent Work Management Platform, we are redefining the velocity of work by uniting people, data, and AI to move businesses forward. We don’t just automate tasks; we eliminate execution silos and turn strategic vision into measurable enterprise impact. We’re creating a space to think big and take action, because when challenge meets purpose and AI-powered execution meets human ingenuity, that’s magic at work. It’s what we show up for every day, helping organizations not just keep up with change, but thrive because of it.
Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for
Senior AI & Data Governance Engineers
who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.
You Will:
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
You Have:
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
