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Lincoln Financial

Insurance, retirement, and financial services provider

Sr. Director - AI-Native Intelligence & Data Insights

Natural Language Processing & LLMsUpdated on Nov 14
Full-time

About the Job

Requirements

  • At least 12 years of experience in data engineering, machine-learning/artificial-intelligence engineering, or applied data science, including at least 5 years in a technical leadership role building production data or AI platforms.
  • Deep hands-on experience with AWS data and AI services, including S3, Glue, Lambda, Step Functions, Amazon Bedrock or an equivalent enterprise large-language-model platform, OpenSearch or another vector database, and a graph database such as Amazon Neptune.
  • Production experience building or leading retrieval-augmented generation, agentic AI, or conversational AI systems, beyond proofs of concept.
  • Strong understanding of data modeling, semantic layers, business ontologies, and knowledge graphs, and how they ground large-language-model systems in accurate, consistent business meaning.
  • A track record of building, mentoring, and scaling high-performing technical teams.
  • A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Responsibilities

  • Own end-to-end architecture for the AI Native Intelligence platform on AWS, including ingestion, enrichment, the semantic/business ontology layer, retrieval-augmented generation, knowledge graphs, and agentic orchestration using Amazon Bedrock, Bedrock AgentCore, Amazon Neptune, OpenSearch Serverless, AWS Glue, Amazon Transcribe/Comprehend, and related services.
  • Translate enterprise datasets—including call center transcripts and audio, policy administration, claims, and underwriting data—into a unified, governed data and semantic foundation for natural-language querying and analytics.
  • Design and evolve the business ontology, knowledge graph, and KPI/metrics glossary that ground the platform's AI in company business definitions and ensure accurate, consistent answers.
  • Lead build-versus-buy decisions across the AI/ML and data stack and keep current with AWS AI developments, including model updates, agent frameworks, vector and graph databases, and evaluation tooling.
  • Build, mentor, and scale a team of engineers, data scientists, and architects; set technical standards, run design and architecture reviews, and unblock difficult technical problems.
  • Partner with business stakeholders in call center operations, claims, underwriting, and compliance to identify high-value insight use cases and translate them into technical requirements and delivery plans.
  • Establish guardrails, governance, and responsible-AI practices, including personally identifiable information handling and redaction, model evaluation, hallucination mitigation, human-in-the-loop review, and auditability.
  • Define and track AI initiative success metrics, including retrieval/insight accuracy, adoption, time-to-insight, and cost-to-serve, and report progress to senior and executive leadership.
  • Prototype new capabilities, review code and architecture, and work directly alongside the team.

Desired Qualifications

  • An advanced degree.
  • Experience with speech-to-text and natural language processing pipelines, such as Amazon Transcribe and Amazon Comprehend, particularly for audio or call center data.
  • Experience in insurance, financial services, or another regulated industry, with an understanding of data privacy, personally identifiable information, and regulatory compliance.
  • Familiarity with call center analytics, claims processing, or policy administration data.
  • Experience establishing responsible-AI governance frameworks, including bias mitigation, hallucination controls, model evaluation, and audit trails.
  • Contributions to open-source AI/data tooling, patents, or published technical work.

About the Company

Lincoln Financial

Insurance, retirement, and financial services provider

Lincoln Financial Group offers life insurance, annuities, and retirement income products through its network of affiliated companies, and also provides securities and investment advisory services via affiliated broker-dealers. Its products combine insurance coverage or retirement-focused contracts with investment options, where customers fund premiums, choose subaccounts or riders, and receive benefits such as death benefits, living benefits, or guaranteed income in retirement. The company differentiates itself with a family of affiliated brands and distributors that coordinate life, annuity, and advisory products under one umbrella. Its goal is to help individuals and families protect loved ones, plan for retirement, and achieve financial security through integrated protection and investment solutions.

Company size
Not listed
Company stage
Not listed
Total funding
$128.8M
Headquarters
Radnor Township, Pennsylvania
Founded
1905

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