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Develops and manages insurance product strategies to maximize customer value and profitable growth. Responsibilities include pricing analysis, regulatory filing strategy, product compliance, policy and coverage strategy, underwriting guidance, forecasting, budgeting, profit and loss management, and multi-year strategic planning. The role collaborates with cross-functional partners, mentors analysts, supervises employees, and leads product initiatives and business projects.

Leads product strategy and profitable growth for assigned insurance product lines. Responsibilities include managing profit and loss, forecasting, budgeting, pricing programs, statistical modeling, regulatory filing strategies, compliance, product plans, and cross-functional implementation. The role mentors product staff, influences senior stakeholders, analyzes markets and competitors, and represents company interests with leadership, government affairs, and industry partners.

The Principal Data Engineer designs and builds scalable cloud-native data platforms, pipelines, frameworks, and governed data products supporting analytics, reporting, AI, and operational workloads. Responsibilities include Databricks, Spark, Delta Lake, Azure, SQL Server, batch and streaming processing, data integration, performance optimization, governance, modernization, troubleshooting, architecture reviews, and mentorship. The role provides senior technical leadership without direct people management and supports insurance-domain data across policy, claims, billing, finance, and regulatory functions.

Leads the design, development, deployment, and monitoring of advanced statistical and machine learning models for insurance pricing, underwriting, claims, fraud, retention, and growth. Advises executives and actuarial teams, establishes modeling and experimentation standards, ensures responsible and scalable productionization, and mentors data scientists. The role also advances MLOps, AI infrastructure, model lifecycle management, explainability, fairness, and data science strategy.

The Senior Databricks AI/ML Engineer will design and deploy AI/ML solutions in the insurance sector, focusing on Databricks architecture, data pipelines, and MLOps workflows, while collaborating with various teams to operationalize models and optimize processes.

Serve as a liaison between business stakeholders and technical teams to elicit, document, and translate requirements; design and improve systems and processes; support implementations and post-release troubleshooting; mentor others; drive buy-vs-build decisions; facilitate training, data governance, and reporting needs; use Agile/Scrum/Waterfall methodologies and MS Copilot to create user stories and documentation while ensuring compliance with security and privacy requirements.

The Territory Sales Enablement Manager designs and manages programs that empower PEMCO's Community Agent channel, enhances agency capabilities, and drives growth through strategic initiatives and technology improvements.

The Digital Product Manager leads the strategy and development of AI-enabled digital products in the P&C insurance domain, ensuring customer experience and operational efficiency while aligning with business objectives and regulatory requirements.

The Program Manager is responsible for developing and executing project plans, managing vendor relationships, and collaborating across teams to ensure successful program delivery at PEMCO.

Design and implement automated test frameworks and data validation utilities for enterprise data platforms. Validate data transformations, pipelines, lineage, and performance across Databricks, Snowflake, Spark, Hadoop and cloud environments. Integrate tests into CI/CD, perform white-box and performance testing, investigate production defects, and collaborate with Data Engineering, Analytics, and business stakeholders to ensure P&C insurance data quality and regulatory readiness.