About The Position

As a Product Owner – Service Management, you are responsible for driving the vision, strategy, and continuous improvement of data and AI initiatives with a strong focus on service management excellence. You excel at defining and refining processes, ensuring solutions are reliable, supportable, and aligned with operational best practices. You are a self-starter who works autonomously within established guidelines, proactively identifying gaps and recommending improvements that enhance delivery and long-term sustainability. You collaborate seamlessly across teams, architects, developers, analysts, and service owners, to ensure smooth handoffs, operational readiness, and cross-functional alignment. Above all, you bring a structured, process-oriented approach that enables high-quality, predictable, and well-governed outcomes.

Requirements

  • 10+ years of overall experience in technology or data-focused environments, including 5+ years as a Product Owner.
  • Strong background supporting data, analytics, or AI initiatives with demonstrated experience in service management, operational readiness, or support processes.
  • Ability to write and interpret SQL for data validation, troubleshooting, and clarifying technical requirements.
  • Highly self-directed and proactive, capable of working autonomously within guidelines while driving clarity, structure, and process improvements.
  • Deep experience with Agile methodologies, cross-team collaboration, and process-oriented delivery.
  • Strong communicator with the ability to create polished, executive-ready PowerPoint presentations for status updates, risks, and recommendations.

Nice To Haves

  • Experience in pharma or other regulated industries and understanding of service management best practices (e.g., SLAs, incident processes, change control) is a bonus.

Responsibilities

  • Own, refine, and prioritize the product backlog with an emphasis on reliability, scalability, and service management for best practices.
  • Lead Agile ceremonies, including stand-ups, backlog refinement, sprint planning, and demos, while reinforcing process discipline and clear documentation.
  • Partner across architecture, engineering, service operations, and offshore development teams to drive solution design and ensure operational readiness.
  • Use SQL to validate data, support troubleshooting, and ensure feature requirements meet functional and service-level expectations.
  • Communicate delivery status transparently through Red/Yellow/Green updates, highlighting risks, dependencies, and service impacts.
  • Support process maturity by identifying operational gaps, recommending improvements, and helping define guidelines, standards, and repeatable workflows.
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