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AI and Analytics Specialist
Pacific Life. Lead the design and implementation of AI and advanced analytics solutions across Workforce Benefits, including underwriting, claims, enrollment, service, sales, and operations .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI and advanced analytics solutions, with a strong focus on machine learning, data science, and the integration of AI with enterprise platforms. Proven ability to lead initiatives from concept to production while applying responsible AI practices and delivering actionable insights.
Highest-signal resume keywords
AI Solution DesignMachine Learning ImplementationPython ProgrammingEnterprise AI PlatformsStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningData ScienceStatistical AnalysisPredictive ModelingPrompt EngineeringKnowledge ExtractionWorkflow AutomationAPIsCloud PlatformsEvaluation Frameworks
Soft Skills
Problem-SolvingCommunicationStakeholder Management
Tools & Technologies
AWS BedrockSnowflake CortexAzureOpenAIGoogle Gemini
Industry Keywords
Generative AIAdvanced AnalyticsResponsible AIDevOpsMLOps
Tech Stack
Tools & technologiesAWSAzureCloudPython
About the role
Key responsibilities & impact- Lead the design and implementation of AI and advanced analytics solutions across Workforce Benefits, including underwriting, claims, enrollment, service, sales, and operations
- Develop and deploy generative AI, machine learning, and advanced analytics capabilities, including knowledge extraction, conversational assistants, RAG, agentic workflows, and decision-support solutions
- Partner with business leaders and technology teams to translate business needs into scalable solutions
- Integrate AI with enterprise platforms, data sources, and operational workflows
- Own initiatives from proof of concept through production deployment, adoption, monitoring, governance, and business value realization
- Support transformational AI programs and productivity-focused use cases
- Identify opportunities, rapidly prototype solutions, develop reusable assets, and scale successful ideas across the division
- Deliver actionable insights, dashboards, and recommendations that improve decision-making and demonstrate business impact
- Apply responsible AI practices, including evaluation, privacy, security, monitoring, and risk management
Requirements
What you’ll need- 3+ years of experience in AI, analytics, data science, machine learning, or related disciplines, including delivering business solutions from concept through production
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related field, or equivalent experience
- Experience with enterprise AI platforms and large language models such as AWS Bedrock, Snowflake Cortex, Azure, OpenAI, or Google Gemini
- Hands-on experience with prompt engineering, RAG, knowledge extraction, evaluation frameworks, AI agents, and workflow automation
- Strong Python skills
- Experience with machine learning, statistical analysis, predictive modeling, APIs, cloud platforms, and modern software deployment practices
- Familiarity with DevOps/MLOps, version control, testing, monitoring, and production support
- Strong problem-solving, communication, and stakeholder management skills
- Ability to explain complex technical concepts to non-technical audiences
Benefits
Comp & perks- Medical, Dental, Vision, and Wellbeing Reimbursement Account
- Paid Time Off
- Holiday Schedules
- Financial Planning Time Off
- Paid Parental Leave
- Adoption Assistance Program
- Competitive 401k savings plan with company match
- Additional 401k contribution regardless of participation
- Flexible benefits that can be tailored to individual needs