Data & AI Product Leader — Strategy, Governance & Value

Jobtailor

Little Rock (AR)

On-site

USD 90,000 - 120,000

Full time

14 days+
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Job summary

Jobtailor is seeking a Data & AI Product Manager to lead enterprise PM framework and portfolio governance in a data-driven organization. You will own strategy, roadmaps, and value realization for Data-as-a-Product, coordinating with engineering, risk, and business stakeholders.

The role requires 5+ years of PM experience, strong SQL/analytics capability, and proficiency with Jira, Confluence, and Azure DevOps.

Qualifications

  • BS/BA degree.
  • 5+ years relevant experience.
  • Proficiency with Jira, Confluence, and Azure DevOps (ADO).
  • Strong PM practices, methodologies, and lifecycle management.
  • Ability to develop strategic product roadmaps and investment plans.
  • Ability to translate complex problems into actionable product requirements.
  • Strong financial acumen, including ROI analysis and value measurement.
  • Influence stakeholders and build consensus across business and technology teams.
  • Excellent presentation, facilitation, and communication skills.

Responsibilities

  • Establish and lead the enterprise Data & AI Product Management framework, including governance, success metrics, Data-as-a-Product standards, AI lifecycle management, Responsible AI practices, and value realization processes.
  • Establish and manage the Data & AI product intake and demand management process.
  • Evaluate requests, prioritize initiatives, and align investments with strategic objectives, resources, and value.

Skills

Product management
Stakeholder engagement
Agile delivery
Strategic thinking
Communication
Analytical skills
Leadership

Education

BS/BA degree

Tools

Jira
Confluence
Azure DevOps

Job description

Jobtailor is seeking a Data & AI Product Manager to lead enterprise PM framework and portfolio governance in a data-driven organization. You will own strategy, roadmaps, and value realization for Data-as-a-Product, coordinating with engineering, risk, and business stakeholders.

The role requires 5+ years of PM experience, strong SQL/analytics capability, and proficiency with Jira, Confluence, and Azure DevOps.

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