Sr Data Architect

Bank of America Merrill Lynch

**
10+ years data architecture experience
Ai controls architecture design
Responsible ai framework expertise
** Bank of America Merrill Lynch is seeking a Sr. Data Architect to develop and implement data architectural solutions that support AI controls and enterprise data governance. The role requires extensive experience in data architecture, AI governance, and collaboration across various technology teams to ensure compliance and security in AI implementations. **

Job Summary

  • This senior role is responsible for designing technical guardrails and assessing AI control capabilities across platforms to ensure safe adoption of AI technologies.
  • The position requires deep expertise in Responsible AI, model governance, and the technical control frameworks required in regulated environments like banking.
  • Candidates will partner with Risk, Compliance, and InfoSec teams to harmonize AI architectural controls with enterprise governance frameworks.

Matching Summary

Match Score: 75

** Bank of America Merrill Lynch is seeking a Sr. Data Architect to develop and implement data architectural solutions that support AI controls and enterprise data governance. The role requires extensive experience in data architecture, AI governance, and collaboration across various technology teams to ensure compliance and security in AI implementations. **

Skills & Requirements

Must-have

  • 10+ years data architecture experience
  • AI controls architecture design
  • Responsible AI framework expertise
  • Enterprise data governance knowledge
  • Cloud-native solution architecture
  • Vector databases and LLM orchestration

Nice-to-have

  • Experience in regulated financial services
  • Model risk governance background
  • RAG architecture design skills
  • LLMOps workflow development
  • Cross-functional leadership influence
  • GenAI guardrail framework experience

Key Requirements

  • 10+ years in data architecture or ML/AI engineering
  • Deep expertise in AI/ML governance and risk management
  • Hands-on experience with Databricks, Snowflake, or Azure Data Lake
  • Proficiency in Python, SQL, and Spark programming
  • Strong knowledge of privacy controls and data lineage

Work Rights

Not specified

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