Director of AI-Driven Analytics (Hybrid)

Lincoln Financial Group

Radnor (Delaware County)

Hybrid

USD 120,000 - 180,000

Full time

2 days ago
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Job summary

Lincoln Financial Group seeks an experienced senior data analytics professional to design and operate production-grade LLM-based analytics. The role emphasizes AWS Bedrock capabilities, semantic layering, and robust extraction pipelines, with a focus on actionable business insights and governance.

Hybrid work arrangement with regular office presence. You will mentor engineers, collaborate with stakeholders, and stay current with cloud AI advances to continuously improve data-driven decision

Qualifications

  • 8+ years of experience in Data Analytics / BI with at least 2+ years building production LLM-based Analytics systems.
  • Hands-on, production-level expertise with AWS Bedrock, Lambda, Step Functions, S3, Glue, Athena; vector store experience is a plus.
  • Strong prompt-engineering and LLM development skills: structured extraction, tool-calling, retrieval design, and evaluation.
  • Understanding semantic layers or metrics layers to ground LLM outputs in governed definitions.
  • Experience building pattern-, trend-, or anomaly-detection over enterprise data and translating findings for business users.
  • Proficiency in Python and/or TypeScript/Node.js for building extraction pipelines and integration code.
  • Knowledge of SQL and cloud analytics engines (Athena, Redshift) for NL-to-SQL experiences.
  • Ability to demo systems to engineers and explain behavior to non-technical stakeholders.
  • Bachelor-level degree or equivalent practical experience in CS/Engineering.

Responsibilities

  • Design and build the conversational AI experience end to end using Bedrock Agents and knowledge bases.
  • Build capabilities to detect patterns, trends, and anomalies across enterprise data.
  • Develop the AI extraction pipeline turning unstructured data into structured facts using AWS services.
  • Own prompt engineering and agent tool design to balance accuracy, latency, and cost.
  • Integrate conversational layer with semantic layer and business ontology to ensure consistent dashboards.
  • Create evaluation and quality processes for LLM-based systems, including guardrails and audits.
  • Mentor engineers and represent the workstream in architecture reviews.
  • Stay current with AWS AI landscape and propose concrete improvements.

Skills

Data analytics
LLM analytics systems
AWS AI stack
Prompt engineering
Semantic layers / ontologies
Pattern/anomaly detection
Python
TypeScript/Node.js
SQL
Clear communication

Education

Bachelor's degree in CS / Engineering

Tools

Python
TypeScript/Node.js

Job description

Lincoln Financial Group seeks an experienced senior data analytics professional to design and operate production-grade LLM-based analytics. The role emphasizes AWS Bedrock capabilities, semantic layering, and robust extraction pipelines, with a focus on actionable business insights and governance.

Hybrid work arrangement with regular office presence. You will mentor engineers, collaborate with stakeholders, and stay current with cloud AI advances to continuously improve data-driven decision

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