Data Product Manager

5 hours, 17 minutes ago
Full-time
Senior
Data Science and Analytics
Level Access

Level Access

Level Access provides a comprehensive digital accessibility platform, automated scans, and expert-led services to help organizations achieve and maintain accessibility compliance. With a focus on IT systems, Level Access has been a leader in the access...

Internet Software & Services
251-1K
Founded 1997
$72M raised

Description

  • Own and prioritize the enterprise data product roadmap based on business impact, efficiency, customer outcomes, AI readiness, and strategic goals.
  • Partner with business leaders to identify data, analytics, automation, and AI opportunities and define success measures.
  • Define data domains, ownership models, business definitions, KPIs, metrics, and data contracts.
  • Maintain the enterprise data dictionary and business glossary while promoting consistent data usage.
  • Advocate for data quality, lineage, governance, stewardship, and responsible handling of sensitive data.
  • Translate business problems into product specifications, technical requirements, user stories, acceptance criteria, and measurable outcomes.
  • Use rapid experimentation, AI-assisted prototyping, and iterative validation to develop data and AI product opportunities.
  • Collaborate with Data Engineering, Applied AI Engineering, Business Systems, and product teams on solution design, testing, documentation, and adoption.
  • Support an AI-augmented software development lifecycle through validated specifications, test cases, implementation guidance, and documentation.
  • Measure adoption, delivery speed, data quality, reuse, and business impact of data and AI investments.

Requirements

  • 5+ years of experience in Product Management, Data Product Management, Business Systems, Analytics, or a related field.
  • Experience partnering with senior 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 in collaborative product and engineering environments using rapid prototyping, iterative discovery, and early technical partnership.
  • Strong communication, facilitation, and stakeholder management skills.
  • Familiarity with AI-assisted workflows, prompt-based experimentation, or AI-generated specifications and documentation preferred.
  • Experience with Databricks, Snowflake, Microsoft Fabric, or equivalent platforms preferred.
  • Exposure to enterprise SaaS business models and operational metrics preferred.

Benefits

  • U.S. base salary of $92,000–$100,000 or Canada base salary of CA$86,000–CA$130,000.
  • Eligibility for company bonus plan incentive compensation.
  • Medical, dental, and vision insurance for U.S. and Canadian employees.
  • Life, short-term disability, and long-term disability coverage.
  • Retirement match.
  • Flexible paid time off and paid parental leave.
  • Remote work stipend and professional development reimbursement.
  • Benefits tailored to local regulations for employees in other locations.

Interested in this position?

Apply directly on the company website

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