Senior Product Manager – Enterprise Data Products

This is a fully remote position, open to applicants in Oregon.

📋 Description

• Take ownership of the strategy, roadmap, prioritization, lifecycle, adoption, and business results for an enterprise data-product portfolio.

• Convert customer challenges, enterprise strategies, regulatory needs, and technological possibilities into prioritized actions.

• Identify product customers, their problems, value propositions, desired outcomes, scope, ownership, service expectations, and consumption patterns.

• Engage in continuous customer and stakeholder discovery across business, operations, analytics, applications, digital products, and partnerships.

• Transform customer challenges into actionable capabilities, requirements, outcomes, and success metrics.

• Test assumptions through feedback, prototypes, data analysis, and incremental delivery.

• Collaborate with Data Engineering and Architecture to develop scalable enterprise data products.

• Steer products through sourcing, transformation, modeling, quality validation, governance, and delivery processes.

• Choose appropriate delivery methods such as datasets, APIs, events, files, analytical models, and other data services.

• Create reusable products instead of customer-specific pipelines, extracts, or integrations.

• Address reliability, scalability, performance, and maintainability throughout the entire product lifecycle.

• Develop data products for internal processes, analytics, reporting, digital experiences, operational systems, and AI applications.

• Collaborate with digital and application teams to enhance customer-facing experiences.

• Define downstream interfaces and service level agreements.

• Work alongside Governance, Security, Privacy, Risk, and Architecture teams to manage sensitive and regulated data.

• Establish business definitions, metadata, lineage, ownership, quality expectations, and access controls.

• Oversee portfolio adoption and value realization; monitor adoption, usage, quality, reliability, customer experience, and business outcomes.

• Enhance, consolidate, replace, or retire underutilized and redundant products.

• Communicate outcomes and portfolio health to business and technology leadership.

• Lead intricate products across systems, business areas, and delivery teams.

• Resolve conflicts among customer needs, architecture, engineering constraints, governance, and enterprise priorities.

• Mentor Product Managers and Product Owners, advancing Enterprise Data product-management practices.

⛳️ Requirements

• High school diploma or GED is required; a Bachelor’s degree is preferred.

• A minimum of 8 years of progressive experience in product management, data, analytics, technology, or a related business field.

• Experience working with a globally distributed team is highly preferred.

• Proven ownership of complex products throughout discovery, delivery, adoption, and lifecycle management.

• Experience in developing data, analytics, API, integration, digital, or enterprise technology products.

• Experience in serving internal customers while supporting external customer experiences.

• Experience collaborating with Data Engineering, Software Engineering, Architecture, Analytics, or Data Governance teams.

• Ability to navigate complex enterprises, multiple stakeholders, and competing priorities.

• Strong skills in discovery, strategy development, roadmap creation, prioritization, and lifecycle management.

• Excellent customer discovery and stakeholder management capabilities.

• Ability to define outcomes and evaluate product success metrics.

• Capacity to make challenging tradeoffs using customer value, outcomes, risk, strategic alignment, and technical feasibility.

• Exceptional written, verbal, and visual communication skills.

• In-depth understanding of data-as-a-product principles and modern enterprise data architectures.

• Familiarity with ingestion, transformation, modeling, quality, storage, integration, and delivery processes.

• Knowledge of analytical and transactional product patterns, including APIs, events, streaming, data sharing, and batch delivery.

• Awareness of metadata, lineage, business definitions, quality, privacy, security, and access controls.

• Familiarity with cloud data platforms and lakehouse architecture is beneficial.

• Working knowledge of Azure Databricks, Delta Lake, Unity Catalog, SQL, APIs, and related technologies is preferred.

• Understanding of how analytics, machine learning, GenAI, and operational applications utilize enterprise data.

• Ability to discuss architecture and engineering tradeoffs without personally designing or implementing solutions.

• Must pass a criminal background check and verification of employment, education, and licensing.

• Must be bondable.

🏝️ Benefits

• Medical, dental, and vision insurance coverage.

• 401(k) plan with matching contributions from the company.

• Annual incentive bonus program.

• Paid time off, including 11 holidays, 2 wellness days, and 8 volunteer hours each year.

• PTO increases with tenure.

• Opportunities for career growth and advancement.

• Paid parental leave.

• Assistance for adoption and surrogacy.

• Employee giving program that matches donations to eligible nonprofits and schools at double the rate.

• Flexible remote work arrangement.