Senior Data Quality Lead — Enterprise DQ, Remote

Stryker; Portage (MI); Remote; USD 118,000 - 197,000; Full time

Job summary

Stryker seeks a Senior Lead Analyst, Enterprise Data Governance, to own the enterprise data quality framework, methodology, and measurement across data domains. You will provide an independent view of data quality performance to inform leaders and drive remediation of issues to their source.

Candidates located in Eastern or Central time zones are preferred to accommodate business needs. You will define the CDE methodology, build board‑level data quality scorecards, and socialize the policy

Qualifications

• Bachelor’s degree in information systems, Data Management, Business, or a related field.
• 6+ years in data quality, data management, or analytics, including ownership of enterprise data quality programs.
• Experience building data quality frameworks, rules, scorecards, and remediation processes.

Responsibilities

• Author and maintain the enterprise Data Quality Policy, framework, and methodology; socialize and drive adoption.
• Define the CDE methodology and support domain groups in identifying CDEs and setting defensible thresholds.
• Build and run Board-level Data Quality scorecards; establish baselines and report trends.
• Oversee remediation: track issues to closure at source and drive root‑cause analysis.
• Independently assess master data quality reported by Enterprise MDM to ensure measurement remains separate from execution.
• Translate quality performance into business outcomes and cost-of-poor-quality terms.

Skills

SQL

Data quality

Data governance

Executive reporting

Education

Bachelor's degree

Master's degree (preferred)

Tools

Informatica Data Quality

Job description

Stryker seeks a Senior Lead Analyst, Enterprise Data Governance, to own the enterprise data quality framework, methodology, and measurement across data domains. You will provide an independent view of data quality performance to inform leaders and drive remediation of issues to their source.

Candidates located in Eastern or Central time zones are preferred to accommodate business needs. You will define the CDE methodology, build board‑level data quality scorecards, and socialize the policy