Senior Product Manager – Enterprise Data Products

The Standard

. Own strategy, roadmap, prioritization, lifecycle, adoption, and business outcomes for an enterprise data-product portfolio .

Posted 10/22/2026full-timeRemote • Oregon • United StatesSenior💰 $137,000 - $233,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management for enterprise data products, focusing on strategy, lifecycle management, and customer outcomes. Proficient in collaborating with cross-functional teams to deliver scalable data solutions while ensuring compliance with governance and security standards.

Highest-signal resume keywords

Product ManagementData GovernanceCustomer DiscoveryData Engineering CollaborationLifecycle Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Product DevelopmentAPI IntegrationData AnalyticsSQLData TransformationData ModelingCloud Data PlatformsAzure DatabricksDelta LakeMetadata Management

Soft Skills

Stakeholder ManagementCommunicationStrategic ThinkingProblem SolvingMentoring

Tools & Technologies

Unity CatalogData LakesAnalytical ModelsDigital ProductsOperational Systems

Industry Keywords

Enterprise Data ArchitectureData-as-a-Product PrinciplesRegulatory ComplianceCustomer ExperienceBusiness Outcomes

Tech Stack

Tools & technologies

AzureCloudSQLUnity

About the role

Key responsibilities & impact

Own strategy, roadmap, prioritization, lifecycle, adoption, and business outcomes for an enterprise data-product portfolio
Translate customer problems, enterprise strategy, regulatory requirements, and technology opportunities into priorities
Define product customers, problems, value propositions, outcomes, scope, ownership, service expectations, and consumption patterns
Conduct ongoing customer and stakeholder discovery across business, operations, analytics, applications, digital products, and partners
Translate customer problems into capabilities, requirements, outcomes, and success measures
Validate assumptions through feedback, prototypes, data analysis, and incremental delivery
Partner with Data Engineering and Architecture to build scalable enterprise data products
Guide products through source, transformation, modeling, quality validation, governance, and delivery
Select fit-for-purpose delivery methods such as datasets, APIs, events, files, analytical models, and other data services
Design reusable products rather than customer-specific pipelines, extracts, or integrations
Address reliability, scalability, performance, and maintainability throughout the product lifecycle
Build data products for internal processes, analytics, reporting, digital experiences, operational systems, and AI
Partner with digital and application teams to power customer-facing experiences
Define downstream interfaces and service levels
Partner with Governance, Security, Privacy, Risk, and Architecture to manage sensitive and regulated data
Establish business definitions, metadata, lineage, ownership, quality expectations, and access controls
Own portfolio adoption and value realization; track adoption, usage, quality, reliability, customer experience, and business outcomes
Improve, consolidate, replace, or retire underused and duplicative products
Communicate outcomes and portfolio health to business and technology leaders
Lead complex 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 and mature Enterprise Data product-management practices

Requirements

What you’ll need

High school diploma or GED required; Bachelor’s degree preferred
8+ years of progressive experience in product management, data, analytics, technology, or a related business environment
Experience working with a globally dispersed team highly preferred
Ownership of complex products through discovery, delivery, adoption, and lifecycle management
Experience building data, analytics, API, integration, digital, or enterprise technology products
Experience serving internal customers and supporting external customer experiences
Experience partnering with Data Engineering, Software Engineering, Architecture, Analytics, or Data Governance
Experience navigating complex enterprises, multiple stakeholders, and competing priorities
Strong discovery, strategy, roadmap, prioritization, and lifecycle-management skills
Strong customer discovery and stakeholder management
Ability to define outcomes and measure product success
Ability to make difficult tradeoffs using customer value, outcomes, risk, strategic alignment, and technical feasibility
Strong written, verbal, and visual communication
Strong understanding of data-as-a-product principles and modern enterprise data architectures
Understanding of ingestion, transformation, modeling, quality, storage, integration, and delivery
Understanding of analytical and transactional product patterns, including APIs, events, streaming, data sharing, and batch delivery
Understanding of metadata, lineage, business definitions, quality, privacy, security, and access controls
Familiarity with cloud data platforms and lakehouse architecture
Working knowledge of Azure Databricks, Delta Lake, Unity Catalog, SQL, APIs, and related technologies preferred
Understanding of how analytics, machine learning, GenAI, and operational applications use enterprise data
Ability to discuss architecture and engineering tradeoffs without personally designing or implementing solutions
Must pass criminal background investigation and employment, education, and licensing verification
Must be bondable

Benefits

Comp & perks

Medical, dental, and vision insurance
401(k) plan with matching company contributions
Annual incentive bonus plan
Paid time off including 11 holidays, 2 wellness days, and 8 volunteer hours annually
PTO increases with tenure
Career growth and advancement opportunities
Paid parental leave
Adoption/surrogacy assistance
Employee giving program that double matches donations to eligible nonprofits and schools
Remote work arrangement