Senior Data Product Manager, Enterprise Data & AI

Standard Insurance; Portland (OR); On-site; USD 140,000 - 190,000; Full time

Job summary

The Standard is seeking a Senior Product Manager for Enterprise Data to turn data into reliable internal products. You will own strategy, roadmaps, lifecycle, and measurable outcomes for an enterprise data-product portfolio.

In collaboration with Data Engineering, Architecture, Governance, Analytics, AI, and business teams, you will translate complex data needs into reusable capabilities used across the organization to improve decisions and experiences.

Responsibilities

• Own portfolio vision, strategy, lifecycle, and a forward-looking roadmap explaining direction and rationale.
• Translate customer problems, enterprise strategy, regulatory requirements, and technology opportunities into priorities.
• Define each product's customers, problem, value proposition, and outcomes.
• Prioritize investments and resolve competing needs using customer value, reuse, strategic alignment, risk, effort, and measurable outcomes.
• Balance new development with enhancements, technical debt, quality, modernization, and lifecycle needs.
• Partner with Data Engineering and Architecture to build scalable products that meet customer and business needs.
• Define product scope, ownership, service expectations, and consumption patterns.
• Design for reuse rather than customer-specific pipelines, extracts, or point-to-point integrations.
• Address reliability, scalability, performance, and maintainability throughout the lifecycle.
• Build data products for internal processes, analytics, reporting, digital experiences, operational systems, and AI.
• Understand data needs for experiences serving employers, employees, partners, and other external consumers.
• Partner with digital and application teams to power customer-facing experiences.
• Define downstream interfaces and service levels; prioritize experience, timeliness, accuracy, reliability, and usability.
• Make data quality and trust core product requirements.
• Partner with Governance, Security, Privacy, Risk, and Architecture to meet enterprise requirements and manage sensitive and regulated data throughout the lifecycle.
• Establish business definitions, metadata, lineage, ownership, quality expectations, and access controls.
• Define meaningful quality measures and thresholds with customers and engineering.
• Embed governance in the product experience so customers can confidently understand and use data.
• Own portfolio adoption and value realization, with measures tailored to each product’s purpose and customers.
• Track adoption, usage, quality, reliability, customer experience, and business outcomes.
• Regularly validate that products solve intended customer problems.
• Use telemetry, feedback, operational performance, and outcomes to guide the roadmap.
• Improve,

Job description

The Standard is seeking a Senior Product Manager for Enterprise Data to turn data into reliable internal products. You will own strategy, roadmaps, lifecycle, and measurable outcomes for an enterprise data-product portfolio.

In collaboration with Data Engineering, Architecture, Governance, Analytics, AI, and business teams, you will translate complex data needs into reusable capabilities used across the organization to improve decisions and experiences.