Accellor

Product Owner

Accellor

full-time

Posted on:

Location Type: Hybrid

Location: New York City • New York • United States

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Tech Stack

AWSAzureCloudGoogle Cloud Platform

About the role

  • Own and manage the product backlog for data, analytics, and AI initiatives
  • Define user stories, acceptance criteria, and measurable business outcomes
  • Lead sprint planning, backlog grooming, and prioritization sessions
  • Collaborate with Scrum Masters and engineering teams to ensure timely delivery
  • Balance technical debt, innovation, and business priorities
  • Drive product strategy for data platforms, BI systems, and analytics workflows
  • Partner with data engineering teams to define scalable pipeline and reporting capabilities
  • Ensure data governance, quality, and performance standards are incorporated into product plans
  • Translate analytics use cases into technical requirements for implementation
  • Define and prioritize AI use cases leveraging **Agentic AI systems** (multi-agent workflows, RAG systems, LLM-powered automation)
  • Collaborate with AI engineers to design and deploy AI agents that drive measurable business outcomes
  • Define evaluation metrics for AI performance, accuracy, reliability, and cost efficiency
  • Ensure responsible AI practices and guardrails are embedded in product requirements
  • Act as the primary liaison between business stakeholders and technical teams
  • Communicate product vision, roadmap, and delivery timelines
  • Align AI and data initiatives to measurable ROI and operational impact

Requirements

  • Certified Agile Product Owner (CSPO, SAFe POPM, or equivalent)
  • 6+ years of product management or product ownership experience
  • Proven experience delivering data and analytics projects (data pipelines, BI dashboards, data platforms, or cloud-based analytics solutions)
  • Recent hands-on experience supporting or delivering Agentic AI or LLM-based solutions
  • Strong understanding of Agile/Scrum methodologies
  • Experience writing clear technical user stories for data engineering and AI teams
  • Familiarity with cloud data ecosystems (AWS, Azure, or GCP)
  • Strong analytical mindset with ability to interpret data-driven insights
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
product backlog managementuser storiesacceptance criteriadata pipelinesBI dashboardscloud-based analytics solutionsAgentic AI systemsLLM-based solutionsdata governanceevaluation metrics
Soft Skills
collaborationcommunicationleadershipanalytical mindsetprioritizationstakeholder managementstrategic thinkingproblem-solvingadaptabilitytime management
Certifications
Certified Agile Product Owner (CSPO)SAFe POPM