Data Manager Jobs in Seattle, WA

Senior Program Manager – Data Engineering, Data Management & Governance

Location: Seattle, WA – Onsite preferred
Duration: 12 Months
Extension: Likely
Employment Type: Contract

Job Summary

Seeking an experienced Senior Program Manager to lead strategic, enterprise-level initiatives focused on Data Engineering, Data Management Platforms, Data Governance, and Data Transformation within the insurance domain.

The ideal candidate will have a strong background managing complex data programs in an Insurance/P&C Insurance environment, with proven experience delivering enterprise data platforms, data management capabilities, governance frameworks, and data engineering initiatives.

This role requires a senior leader who can work across business, data, engineering, architecture, governance, and technology teams to define strategy, manage execution, resolve dependencies, and ensure successful delivery of large-scale data transformation programs.

Key Responsibilities

• Lead end-to-end delivery of large, complex data engineering and data management programs across the organization.
• Manage programs involving the design, development, implementation, and enhancement of enterprise data platforms.
• Partner with Data Engineering, Data Architecture, Data Governance, Analytics, Business, and Technology teams to establish program strategy and execution plans.
• Drive implementation of Data Management and Data Governance frameworks across enterprise data assets.
• Establish and manage program roadmaps, milestones, dependencies, budgets, risks, issues, and resource plans.
• Coordinate multiple workstreams involving data ingestion, integration, transformation, data quality, metadata, master/reference data, and analytics platforms.
• Ensure data platforms and solutions align with enterprise architecture, security, regulatory, and governance requirements.
• Drive adoption of data governance policies, standards, processes, ownership models, and controls.
• Work closely with business stakeholders to define data requirements, priorities, success criteria, and measurable outcomes.
• Manage cross-functional teams and third-party vendors involved in data engineering and data platform initiatives.
• Identify and proactively manage cross-program dependencies, risks, and delivery challenges.
• Facilitate executive-level status reporting, steering committee meetings, program reviews, and decision-making.
• Establish KPIs and reporting mechanisms to track program health, delivery progress, quality, and business value.
• Drive change management and organizational adoption for new data platforms, governance processes, and operating models.
• Ensure program deliverables meet defined quality, compliance, security, and business requirements.

Required Qualifications

• 10+ years of experience in program/project management, with significant experience leading enterprise technology or data programs.
• Proven experience managing Data Engineering and Data Management programs.
• Strong experience building or implementing enterprise data platforms.
• Hands-on program leadership experience with Data Governance initiatives and frameworks.
• Insurance industry experience is highly preferred/required, particularly Property & Casualty (P&C) Insurance.
• Experience working with insurance data domains such as:
• Policy
• Claims
• Billing
• Customer
• Underwriting
• Risk
• Agent/Broker data
• Experience managing complex, cross-functional programs involving Data Engineering, Data Architecture, Data Governance, Analytics, and Business teams.
• Strong understanding of modern data platform concepts, including data integration, data pipelines, data quality, metadata, data lineage, and data governance.
• Experience managing multiple technical workstreams and geographically distributed teams.
• Strong executive communication, stakeholder management, and presentation skills.
• Demonstrated ability to manage competing priorities and drive programs to successful completion.

Preferred Qualifications

• Experience with modern cloud-based data platforms such as Azure, AWS, or GCP.
• Familiarity with technologies such as Databricks, Snowflake, Azure Data Factory, Spark, SQL, or similar data engineering platforms.
• Experience with enterprise data governance/catalog platforms such as Collibra, Alation, Microsoft Purview, or similar tools.
• Experience implementing Data Quality, Metadata Management, Data Lineage, Master Data Management (MDM), and Data Catalog capabilities.
• Experience with Agile/Scrum, SAFe, or hybrid delivery methodologies.
• Experience managing large-scale data modernization or transformation initiatives.
• PMP, PgMP, SAFe, or similar program/project management certification is a plus.

Core Competencies

• Enterprise Data Program Management
• Data Engineering Program Leadership
• Data Management Platforms
• Data Governance
• Data Quality & Data Lineage
• Data Architecture
• Insurance / P&C Insurance
• Enterprise Data Transformation
• Stakeholder & Executive Management
• Vendor Management
• Risk & Dependency Management
• Agile / Hybrid Program Delivery
• Strategic Planning & Roadmap Management

Ideal Candidate Profile

The ideal candidate is not simply a Senior Program Manager with generic IT delivery experience. They should have a strong combination of:

Insurance Domain + Data Engineering + Enterprise Data Platforms + Data Governance + Senior Program Management.

Candidates with extensive experience managing P&C insurance data transformation, enterprise data platforms, data governance, and data engineering programs should be prioritized.

Pay: From $120,000.00 per year

Benefits:

• Health insurance
• Paid time off

Application Question(s):

• How many years of direct P&C Insurance experience do you have?
• How many years of experience do you have leading enterprise Data Engineering and Data Management programs?
• How many years of experience do you have leading Data Governance initiatives, including Data Quality, Metadata, Data Lineage, or Data Catalog?
• How many years of experience do you have managing enterprise data platforms such as Databricks, Snowflake, Azure Data Factory, AWS, or Azure?

Work Location: Hybrid remote in Seattle, WA 98101