Data Product Manager

Job not on LinkedIn

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🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 $92k - $100k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

👻 Ghost score 1%

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.

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Level Access

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1997

💼 Consulting

🏥 Healthcare

⚖️ Legal

💰 Series A on 2017-04

Consulting • Healthcare • Legal

Level Access is a unified software platform that provides a comprehensive solution for achieving and maintaining digital accessibility. With a combination of automated scanning, manual testing, legal guidance, and training, Level Access supports businesses in complying with accessibility standards such as WCAG and ADA. Their services are tailored for various sectors, including education, financial services, and public administration, ensuring that digital products are accessible to everyone.

📋 Description

• Partner with business leaders to identify high-value data, analytics, automation, and AI opportunities • Translate business objectives into a prioritized roadmap of reusable data products and capabilities • Prioritize work based on business impact, operational efficiency, customer outcomes, AI readiness, and strategic goals • Define success measures connecting data product delivery to business outcomes • Define enterprise data domains, ownership models, business definitions, metrics, KPIs, and data contracts • Maintain the enterprise data dictionary and business glossary • Drive consistency across reporting, dashboards, operational systems, and AI-enabled workflows • Advocate for data quality, lineage, governance, stewardship, and appropriate use of sensitive data • Use rapid experimentation, AI-assisted prototyping, and iterative validation to shape data and AI product opportunities • Translate business problems and data opportunities into product specifications for technical teams • Use AI tools to accelerate discovery, requirements development, prototype generation, documentation, and decision support • Establish a prototype-to-spec workflow for AI-augmented engineering teams • Collaborate across product, data, AI, business systems, and engineering disciplines • Partner with Data Engineers and Applied AI Engineers on solution design, prototype review, specification refinement, validation, testing, instrumentation, and adoption planning • Ensure technical solutions align with business intent, data requirements, technical feasibility, governance expectations, and measurable outcomes • Support an AI-augmented SDLC with AI-assisted specifications, test cases, implementation guidance, and documentation • Drive adoption of trusted enterprise data products, faster delivery of insights and AI-enabled workflows, improved data quality and governance, and measurable business impact

🎯 Requirements

• 5+ years of experience in Product Management, Data Product Management, Business Systems, Analytics, or a related discipline • Experience working with senior business stakeholders to define priorities, requirements, tradeoffs, and success measures • Experience supporting AI, machine learning, copilots, agentic workflows, or intelligent automation • Strong understanding of data platforms, reporting, BI, analytics, data governance, and enterprise data concepts • Experience translating business needs into product specifications, technical requirements, user stories, acceptance criteria, and measurable outcomes • Experience working in highly collaborative product and engineering environments that use rapid prototyping, iterative discovery, and early technical partnership • Strong communication, facilitation, and stakeholder management skills • Familiarity with AI-assisted product workflows, rapid prototyping, prompt-based experimentation, or AI-generated specification and documentation approaches • Experience with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or equivalent • Exposure to enterprise SaaS business models and operational metrics

🏖️ Benefits

• Incentive compensation in the form of a company bonus plan • Medical, dental, and vision insurance • Life and disability coverage (STD/LTD) • Retirement match • Flexible paid time off • Paid parental leave • Remote work stipend • Professional development reimbursement • Benefits tailored to local regulations and employment status for employees in other locations