Senior Product Manager – Enterprise Data Products

🔥 4 minutes ago

🌲 Oregon – Remote

🌲 Oregon – Remote

💵 $137k - $233k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

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The Standard

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1906

🏥 Healthcare

⚖️ Legal

💼 Consulting

Healthcare • Legal • Consulting

The Standard is a comprehensive provider of insurance, retirement, and investment products and services, targeting individuals, families, businesses, and organizations. Based in Portland, Oregon, and part of the StanCorp Financial Group, Inc. , The Standard offers products such as life and disability insurance, annuities, vision and dental coverage, and retirement plans. Their solutions aim to facilitate financial wellness and enable effective benefits administration, catering to clients of all sizes. The company is renowned for its people-first commitment and innovative partnerships, contributing to a seamless customer experience.

📋 Description

• 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

• 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

• 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