Enterprise Data Product Leader

Victaulic Company

Lincoln (NE)

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Benefits offered by this job

Career development programs
Tuition reimbursement
Health, dental, and vision coverage
Paid time off

Job summary

Victaulic seeks an experienced Product Manager for Enterprise Data to lead the product across four enterprise data teams. You’ll own the portfolio from business problem to delivered product, aligning with stakeholders to define a prioritized roadmap and guiding delivery with Data Architecture, Governance, and AI engineering.

This role reports to the Director of Enterprise Data & AI. You will partner with engineers, analysts, and managers to ensure data products are trusted, well documented, and

Qualifications

  • 5+ years in data, analytics, or product roles, with at least 2 years managing data or analytics products.
  • Strong knowledge of Snowflake or similar Data Management platform.

Responsibilities

  • Own the enterprise data product backlog; write and refine epics, user stories, and acceptance criteria with input from the functional teams.
  • Define the vision, roadmap, and success metrics for enterprise data.
  • Collaborate with Data Architecture, Engineering, and Analytics to deliver trusted, well-documented data products.
  • Track delivery against the roadmap and report progress, risks, and dependencies to leadership.

Skills

Data product management
Snowflake
Snowflake Cortex
Data governance
BI tools
Stakeholder engagement
SQL Python
Communication

Education

Bachelor's degree

Tools

Qlik Cloud
Power BI
Tableau

Job description

Victaulic seeks an experienced Product Manager for Enterprise Data to lead the product across four enterprise data teams. You’ll own the portfolio from business problem to delivered product, aligning with stakeholders to define a prioritized roadmap and guiding delivery with Data Architecture, Governance, and AI engineering.

This role reports to the Director of Enterprise Data & AI. You will partner with engineers, analysts, and managers to ensure data products are trusted, well documented, and

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