Data Engineering Leader, Workforce Benefits

Pacific Life

. Own the vision, roadmap, lifecycle, and delivery of Workforce Benefits Division data products .

Posted 11/5/2026full-timeUnited StatesSenior💰 $152,370 - $186,230 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in delivering enterprise data products and managing data engineering teams, with a strong focus on agile methodologies, data governance, and stakeholder collaboration. Proficient in SQL, Python, and cloud-based data engineering, ensuring high-quality data solutions aligned with business objectives.

Highest-signal resume keywords

Data Product DeliveryAgile Product OwnershipData Engineering LeadershipSQL ProficiencyCloud-Based Data Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data WarehousingData IntegrationsEnterprise Data ArchitectureAdvanced AnalyticsBacklog ManagementTechnical RequirementsDelivery MetricsSemantic LayersReference Data ManagementEvent-Driven Integration

Soft Skills

Stakeholder LeadershipCoachingPerformance ManagementContinuous ImprovementRoot-Cause Resolution

Tools & Technologies

SnowflakeDbtRESTful APIsMicroservices Administration Platforms

Industry Keywords

Workforce BenefitsData GovernanceHIPAA ComplianceInsurance Data DomainsDistributionProductUnderwritingEnrollmentFinanceClaims

Tech Stack

Tools & technologies

CloudMicroservicesPythonSnowflakeSQL

About the role

Key responsibilities & impact

Own the vision, roadmap, lifecycle, and delivery of Workforce Benefits Division data products
Partner with business and technology stakeholders to define outcomes, prioritize demand, and align data investments with business goals
Translate stakeholder requirements into delivery plans and sequenced product backlogs
Lead Agile execution, capacity planning, metrics, and continuous improvement
Provide technical leadership for secure, scalable data pipelines, integrated and published data marts, and real-time data solutions
Embed data quality, security, privacy, and governance standards, including controls for protected health information and HIPAA-regulated data
Lead day-to-day execution and operational support, including release readiness, quality assurance, production support, root-cause resolution, enhancements, and delivery against scope, schedule, and budget
Recruit, coach, develop, and manage the performance of data engineering employees
Establish and monitor KPIs for data-product delivery, quality, and business value
Manage and forecast department, project, software, contractor, and vendor expenses
Oversee vendor service agreements, staff augmentation, and technology contracts
Serve as a subject matter expert across Workforce Benefits functions, analytics and reporting, data architecture, data governance, and corporate technology teams
Provide technical support outside standard business hours when required for planned releases or critical production issues
Travel up to 25% for planning, leadership, and technology meetings

Requirements

What you’ll need

Bachelor's degree in Computer Science or a related field; master's degree preferred
10+ years of experience delivering enterprise data products, data warehouses, data integrations, and enterprise data architecture
5+ years leading a data engineering team at the Director level or equivalent, including people leadership, resource planning, and budget accountability
5+ years of hands-on experience with data warehouses, advanced analytics, and cloud-based data engineering
Demonstrated experience with agile product ownership, backlog management, technical requirements, delivery metrics, and cross-functional stakeholder leadership
Proficiency in SQL and Python
Experience with semantic layers, ontology, and reference data management
Experience with Snowflake and dbt
Experience with RESTful APIs, event-driven integration, and microservices administration platforms
Experience in insurance data domains such as Distribution, Product, Underwriting, Enrollment, Finance, Billing, and Claims