Base: $115,400 - $192,300; bonus: eligible for ann...
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Lead analytics engineers in production delivery
Embed ai/llms into analytics pipelines
Ensure infosec and data governance compliance
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LNRS Data Services is seeking a Manager of Software Engineering to lead analytics engineers in integrating AI into production-grade solutions while ensuring security and compliance. The role involves team leadership, AI adoption in analytics, and maintaining data quality and governance standards.
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Job Summary
This role leads the Analytics Engineering function with a focus on embedding AI into delivery while ensuring strong InfoSec and data governance standards.
The position is responsible for identifying high-impact AI use cases such as LLM-driven parsing and copilots to drive practical adoption without compromising compliance.
Candidates will benefit from comprehensive medical insurance, life assurance policies, flexible working arrangements, and access to learning and development resources.
Matching Summary
Match Score: 75
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LNRS Data Services is seeking a Manager of Software Engineering to lead analytics engineers in integrating AI into production-grade solutions while ensuring security and compliance. The role involves team leadership, AI adoption in analytics, and maintaining data quality and governance standards.
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Salary
Base: $115,400 - $192,300; Bonus: Eligible for annual incentive bonus; Benefits: Medical, Life Assurance, Flexible Working
Skills & Requirements
Must-have
Lead analytics engineers in production delivery
Embed AI/LLMs into analytics pipelines
Ensure InfoSec and data governance compliance
Establish validation frameworks for AI outputs
Manage team budget and resource allocation
Nice-to-have
Experience with Databricks or Synapse platforms
Familiarity with agent-based workflows
Exposure to regulated environments like AML
Knowledge of prompt engineering techniques
Key Requirements
Bachelor's Degree in Engineering or Computer Science preferred
Proven experience leading data and scoring engineering teams
Advanced degree preferred
Strong background in SQL and modern data platforms