Data Governance Product Owner - Lead Quality

Equiliem

New York (NY)

On-site

USD 107,000 - 152,000

Full time

14 days+

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Benefits offered by this job

Medical Insurance
Vision & Dental Insurance
Life Insurance
Matching 401(k)
Commuter Benefits
Employee Discounts & Rewards
Payroll Payment Options

Job summary

Equiliem in New York City is seeking a Product Owner - Data Governance to lead data governance and data quality initiatives supporting Customer Operations. You will translate business needs into prioritized product initiatives, features, user stories, governance requirements, and data quality improvements while establishing and maintaining policies and standards.

The role partners with business stakeholders, IT, analytics teams, and enterprise data governance functions to improve data quality,

Qualifications

  • Experience as a Product Owner with roadmaps and backlog priorities.
  • Strong background in data governance, policies, and controls.
  • Proficient in data quality management, profiling, and root-cause analysis.
  • Able to translate business needs into requirements, user stories, and initiatives.

Responsibilities

  • Own and prioritize the data governance roadmap and backlog.
  • Translate business needs into epics, features, and user stories with acceptance criteria.
  • Establish and maintain data governance policies and data quality controls.
  • Lead data profiling and root-cause analysis for quality initiatives.
  • Collaborate with stakeholders, IT, analytics, and data governance teams.

Skills

Product ownership
Data governance
Agile/Scrum
Stakeholder management
SQL

Tools

Power BI
Collibra
Alation
Microsoft Purview
Tableau

Job description

Equiliem in New York City is seeking a Product Owner - Data Governance to lead data governance and data quality initiatives supporting Customer Operations. You will translate business needs into prioritized product initiatives, features, user stories, governance requirements, and data quality improvements while establishing and maintaining policies and standards.

The role partners with business stakeholders, IT, analytics teams, and enterprise data governance functions to improve data quality,

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