Actuarial Data Engineer - Centralized Data Solutions

Lincoln Financial • Radnor, PA

30d • Hybrid

About The Position

This role serves as a centralized, business-embedded Data Engineer supporting the Actuarial organization. While residing within the business, this position acts as a technical leader and Dataiku subject matter expert, providing business-level guidance, design review, best practices, and federated team support. The role also functions as an IT liaison, assisting with initial issue triage, technical translation, and follow‑through with IT partners.

Requirements

• Undergraduate degree in Computer Science, Data Science, Data Analytics, other quantitative major or equivalent work experience
• 5–7+ years of experience in data engineering, actuarial data work, analytics engineering, or similar roles.
• Strong communication and interpersonal skills, with the ability to influence and mentor non‑technical partners.
• Strong understanding of ETL/ELT concepts, data architecture principles, and data quality best practices.
• Hands‑on experience with Dataiku, including advanced capabilities

Nice To Haves

• FSA or ASA designation, or significant actuarial domain experience.
• Experience building or deploying Dataiku web apps, implementing Dataiku change control practices and embedded AI capabilities as required
• Experience with modern data technologies such as Python, SQL, Spark, AWS, Hive, Tableau, or similar.
• Proven ability to learn new tools quickly, work independently, and lead through ambiguity.
• Innovative, self‑starting mindset with strong problem‑solving skills.

Responsibilities

• Serve as the primary technical resource for Dataiku initiatives across multiple actuarial and business teams.
• Support citizen developers by advising on scalable and consistent data sourcing, transformation (ETL), and workflow orchestration practices.
• Develop and maintain reusable components, templates, standards, and best practices for data engineering and Dataiku usage.
• Design, build, and deploy Dataiku-based web applications that surface analytical outputs and workflows to business end users.
• Implement and integrate embedded AI and generative AI capabilities within Dataiku, including LLM-powered features, AI Services, and Prompt Studios as the platform evolves.
• Evaluate and adopt emerging Dataiku features and capabilities, serving as the internal subject matter expert on platform advancement.
• Conduct upfront design and approach reviews for Dataiku workflows and data pipelines.
• Provide architectural recommendations, ensuring solutions follow sound data management, quality, and governance principles.
• Perform process and code reviews to drive consistency, reliability, and maintainability across federated teams.
• Act as a first line of defense for technical issues within the actuarial department.
• Translate business needs into technical requirements for IT partners.
• Facilitate issue resolution, escalate appropriately, and monitor follow‑ups to ensure timely and accurate outcomes.
• Partner with business teams to convert manual processes into automated, governed workflows.
• Demonstrate new capabilities, conduct proof‑of‑concept work, and help teams understand appropriate tool usage.
• Support continuous improvement efforts across financial reporting, reserve analytics, data preparation, and other actuarial processes.
• Author and maintain documentation for standards, reusable patterns, and production processes.
• Ensure all changes adhere to proper governance and change management procedures.

Benefits

• Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes
• Leadership development and virtual training opportunities
• PTO/parental leave
• Competitive 401K and employee benefits
• Free financial counseling, health coaching and employee assistance program
• Tuition assistance program
• Work arrangements that work for you
• Effective productivity/technology tools and training

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level