Technical Product Owner

Ensora HealthIndianapolis, IN
1d

About The Position

The Technical Product Owner plays a critical role in shaping and delivering innovative, high‑impact software solutions. This role blends technical depth, product strategy, and hands‑on experience with AI technologies—including NLP, ML, and LLM platforms—to drive product capabilities that meet business needs and engineer scalable, modern solutions. You will partner closely with cross‑functional teams to define requirements, manage the product backlog, and ensure delivery of features that bring measurable value to customers and internal stakeholders.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, IT, or related field—or equivalent professional experience.
  • 3+ years of experience as a Product Owner or Technical Product Owner in an Agile software development environment.
  • Strong analytical and critical‑thinking skills with the ability to translate complex business needs into practical technical solutions.
  • Minimum 1 year of hands‑on experience with AI-related products or platforms (NLP, ML, LLM technologies).
  • Solid understanding of software development, system architecture, APIs (REST/SOAP), databases, and cloud platforms (AWS, Azure, or GCP).
  • Proficiency with backlog management tools such as Jira or Azure DevOps.
  • Expertise in writing user stories and acceptance criteria for Agile teams.
  • Excellent communication skills with the ability to engage both technical and non‑technical audiences.
  • Demonstrated success collaborating with cross‑functional teams, including AI/ML engineering groups.
  • Deep understanding of Agile methodologies (Scrum, Kanban).

Nice To Haves

  • Healthcare experience preferred.
  • Familiarity with AI development workflows, data annotation, model evaluation, and deployment is a plus.
  • CSPO or SAFe POPM certification preferred.
  • Experience in a domain relevant to Ensora Health is a plus.
  • Familiarity with data visualization or analysis tools is beneficial.

Responsibilities

  • Own, prioritize, and refine the product backlog to ensure alignment with business goals, technical strategy, and stakeholder priorities.
  • Write clear, actionable user stories and acceptance criteria, including those requiring AI, APIs, integrations, and cloud‑based services.
  • Serve as the primary liaison between product management, engineering, and business stakeholders—translating product vision into technical plans and technical constraints into business‑level insights.
  • Collaborate closely with AI/ML engineers and data science teams to scope AI-driven features and evaluate feasibility.
  • Participate in all Agile ceremonies, including sprint planning, backlog refinement, retrospectives, and demos, helping ensure consistent delivery of high‑value increments.
  • Define and uphold the “definition of done,” validating that delivered features meet quality, performance, and functional expectations.
  • Identify, prioritize, and champion resolution of technical debt and architectural enablers.
  • Oversee creation and maintenance of technical documentation, such as API guides, system workflows, and integration specifications.
  • Recommend ongoing improvements to product workflows, team processes, and technical practices—especially around AI development, deployment, and evaluation.
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