Job Summary:
Pacific Life is a company dedicated to providing for its policyholders and transforming the industry for the better. They are seeking a Senior Data & Automation Engineer (IT Ops) to build and operate automation, data, and AI-enabled solutions that enhance IT operations and the end-user experience.
Responsibilities:
• Automate IT Operations Workflows – Identify and implement automations that reduce manual effort and improve consistency across IT operations, including service request fulfillment, incident workflows, and operational processes supporting end users and infrastructure teams.
• Operational Data Engineering & Insight – Build and optimize data pipelines and analytical datasets from operational systems (e.g., service/ticketing platforms, endpoint/telemetry sources, knowledge bases), applying data quality checks and cost/performance optimization.
• AI‑Augmented Automation & Decision Support – Apply AI/ML concepts to enhance operational workflows and analytics (e.g., enrichment, classification, search, summarization, recommendations), incorporating evaluation practices and human‑in‑the‑loop feedback where appropriate.
• Manage Application Environments – Establish and maintain both non‑production and production environments, ensuring alignment with identity and access controls, data governance policies, and secure data‑handling standards.
• Deliver Reliable, Scalable Solutions – Design, build, and operate production‑grade applications and automation services with a strong focus on reliability, scalability, performance, and observability.
• Drive Continuous Improvement – Champion enhancements based on user feedback, operational metrics, and measurable outcomes; prioritize initiatives that improve productivity, reduce friction, and elevate end‑user experience.
• Collaborate Across Teams – Partner with cross‑functional stakeholders to translate objectives into technical roadmaps, clear requirements, and acceptance criteria. Maintain a transparent, outcome‑driven backlog.
• Ensure Compliance and Security – Uphold security, privacy, and regulatory standards by implementing guardrails, conducting reviews, and recommending updates over time.
• Document and Share Knowledge – Create and maintain documentation, runbooks, patterns, and reference architectures. Mentor team members and foster a culture of knowledge sharing.
Qualifications:
Required:
• 5+ years of experience in IT development, automation engineering, data engineering/analytics engineering, application architecture, and/or applied AI/ML engineering.
• Bachelor’s degree in Computer Science, Information Systems, or equivalent professional experience.
• Hands‑on expertise with Python and SQL; working knowledge of AI/ML tools and MLOps practices.
• Proven track record of delivering applications and/or AI‑driven automations to production, including CI/CD, testing, observability, and reliability best practices.
• Advanced Data Analysis & Insight Extraction – Demonstrated ability to deeply analyze complex datasets, identify patterns and trends, and translate findings into clear, actionable insights that inform automation, optimization, and technical decision making.
• Strong problem‑solving and communication skills, with the ability to collaborate across teams and mentor peers effectively.
Preferred:
• Automation focused – You reduce manual effort in IT operations through measurable workflow automation outcomes.
• Strategic and outcome‑oriented – You help shape technical direction and long‑term platform planning for IT and AI with a focus on delivering results.
• Proven AI leadership – Demonstrated success advancing AI technologies and driving measurable business impact.
• Collaborative and innovative – Passion for cross‑functional teamwork and fostering a culture of innovation and continuous learning.
• Committed to staying ahead – Dedicated to keeping pace with modern practices in data, application development, and AI/ML.
Company:
Pacific Life Insurance is an insurance company that provides life insurance products, annuities, and mutual funds. Founded in 1868, the company is headquartered in Newport Beach, USA, with a team of 1001-5000 employees. The company is currently Late Stage.