Senior Lead Analyst, Enterprise Data Governance

Stryker

. Own the execution and ongoing management of the enterprise data quality framework, methodology, and measurement approach across data domains .

Posted 10/27/2026full-timeRemote • United StatesSenior💰 $118,000 - $255,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing enterprise data quality frameworks and methodologies, with a strong focus on developing quality measures, scorecards, and remediation processes. Proficient in translating data quality performance into business outcomes and effectively communicating insights to senior leadership.

Highest-signal resume keywords

Data Quality Framework DevelopmentSQL ProficiencyInformatica Data Quality ExperienceData Quality Scorecard CreationRegulated Industry Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManagementData Quality MeasurementRoot-Cause AnalysisData ProfilingData Quality RemediationAnalytical SkillsCost of Poor Quality QuantificationCritical Data Element MethodologyThreshold SettingData Quality Policy Development

Soft Skills

LeadershipCommunicationPresentation SkillsCollaboration

Tools & Technologies

Informatica Data Quality

Industry Keywords

ALCOA+Part 11Enterprise Data ManagementData Quality ProgramMulti-Domain Data Quality

Tech Stack

Tools & technologies

InformaticaSQL

About the role

Key responsibilities & impact

Own the execution and ongoing management of the enterprise data quality framework, methodology, and measurement approach across data domains
Provide an independent view of data quality performance to help leaders understand business risk and improvement value
Lead the Critical Data Element (CDE) approach
Establish meaningful quality measures and thresholds
Develop executive and Board-level scorecards
Author and maintain the enterprise Data Quality Policy, framework, and methodology; socialize and drive adoption
Define the CDE methodology and support Domain Working Groups in identifying CDEs and setting defensible thresholds
Build and run Board-level Data Quality scorecards; establish baselines and report trends
Oversee remediation by tracking issues to closure at source, escalating systemic defects, and driving root-cause analysis with process and system owners
Independently assess master data quality reported by Enterprise MDM
Translate quality performance into business outcome and cost-of-poor-quality terms

Requirements

What you’ll need

Bachelor’s degree in information systems, Data Management, Business, or a related field
Minimum 6+ years in data quality, data management, or analytics, including ownership of an enterprise or multi-domain Data Quality program
Demonstrated experience building Data Quality frameworks, rules, scorecards, and remediation processes
Strong analytical and SQL capability
Comfort profiling and interpreting large data sets
Experience presenting quality performance to senior leadership
Candidates located in the Eastern or Central time zones are preferred
Master’s Degree
Experience with Informatica Data Quality (DQ) or comparable DQ tooling
Experience in a regulated industry with DQ experience (ALCOA+, Part 11)
Experience quantifying cost of poor data quality

Benefits

Comp & perks

Remote work flexibility
10% travel percentage