Product Manager – Data & AI Platform

🕒 August 21

🌲 Oregon – Remote

🌲 Oregon – Remote

💵 $109.8k - $186.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 32%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 the product strategy and roadmap for the enterprise Data & AI Platform • Translate Data Product and AI Product team needs into platform capabilities, priorities, and measurable outcomes • Prioritize capabilities based on enterprise demand, reuse potential, consumer value, risk, and strategic alignment • Partner with Engineering and Architecture on the Databricks lakehouse and surrounding ecosystem • Balance new capabilities, modernization, technical debt, reliability, governance, and developer experience • Define reusable platform capabilities and standardized patterns for batch, streaming, and enterprise data workloads • Drive governed data discovery, access, sharing, observability, quality, and lineage capabilities • Establish self-service golden paths, reusable patterns, reference implementations, and standardized platform services • Enable teams to discover and consume trusted enterprise data • Partner with AI Product teams on data requirements for ML, GenAI, RAG, agentic, and emerging AI workloads • Partner with Governance, Security, Privacy, Risk, and Architecture to incorporate governance requirements • Own platform intake, onboarding, adoption, and consumer feedback processes • Define service levels, support models, documentation, and consumption experiences • Track adoption, reuse, onboarding experience, consumer satisfaction, reliability, and value realization • Use platform telemetry and consumer feedback to inform product decisions • Facilitate decisions among teams with competing needs • Communicate platform roadmap and strategy to technical and business stakeholders • Maintain alignment between platform investment and enterprise Data & AI strategy

🎯 Requirements

• High School Diploma or GED required • Bachelor’s degree preferred • 5–7 years of progressive experience in a business or technology environment • Experience managing data platforms, cloud platforms, developer platforms, internal technology products, or technically complex enterprise products strongly preferred • Strong product management, product strategy, roadmap development, prioritization, and stakeholder-management capabilities • Ability to translate technical consumer needs into platform capabilities and investment priorities • Experience managing products supporting internal engineering or technical consumers • Experience using adoption, utilization, consumer feedback, and business outcomes to guide product decisions • Ability to balance near-term delivery needs with long-term platform strategy • Strong understanding of modern cloud data platforms and lakehouse architecture • Working knowledge of Azure Databricks • Familiarity with Unity Catalog, Delta Lake, Workflows, notebooks, SQL, and PySpark • Understanding of data ingestion, transformation, orchestration, storage, serving, and data-product patterns • Understanding of metadata, lineage, data quality, access control, privacy, and security • Familiarity with CI/CD, Git, APIs, event streaming, and cloud engineering practices • Ability to discuss data architecture and engineering tradeoffs with engineers and architects • Understanding of how machine learning, GenAI, RAG, and agentic AI products consume enterprise data • Familiarity with MLflow, vector search, embeddings, graph data, unstructured data, model serving, and AI data pipelines preferred • Ability to identify reusable platform capabilities versus application-specific capabilities • Must complete 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 • 11 holidays • 2 wellness days annually • 8 volunteer hours annually • PTO increases with tenure • Supportive, responsive management approach • Opportunities for career growth and advancement • Paid parental leave • Adoption/surrogacy assistance • Employee giving program that double matches donations to eligible nonprofits and schools • Work-life balance support