Sr Data Architect - AI Controls, Governance & Capabilities
Core
Designing technical guardrails and architectural frameworks for secure, compliant, and trustworthy AI ecosystems within a regulated financial environment.
Role type
Senior IC Data Architect (AI Controls & Governance)
Builds
Enterprise AI control patterns, assessment criteria, and lifecycle governance frameworks for AI/ML solutions.
Domain
Financial Services / AI Governance & Risk Management
Deliverable
production ML models | infrastructure
Required skills
Enterprise data architecture, AI/ML governance, risk management, Responsible AI frameworks, data lineage, metadata management, privacy controls, cloud-native architecture, Python, SQL, Spark, vector databases, LLM orchestration platforms
Preferred skills
Experience with Databricks, Snowflake, Azure Data Lake, Synapse, model APIs, RAG pipelines, agents, MLOps/LLMOps platforms
Technologies
Azure, Databricks, Snowflake, Azure Data Lake, Synapse, vector databases, LLM orchestration platforms, embeddings pipelines
Responsibilities
Design and maintain architectural frameworks for AI/ML controls aligned with enterprise risk and compliance; Establish standardized control patterns for data protection, access management, content filtering, prompt governance, and safeguard monitoring; Evaluate and implement tools for explainability, interpretability, red-teaming, bias detection, drift monitoring, and auditability; Conduct formal assessments of AI platforms and vendor capabilities against security and operational control requirements; Architect the full model lifecycle with built-in controls including documentation, validation, testing, and monitoring; Partner with Risk, Compliance, Model Risk Management, and InfoSec to harmonize controls with enterprise governance.
Seniority
Senior, hands-on IC
