As a Senior Lead Analyst, Enterprise Data Governance, you will own the execution and ongoing management of the enterprise data quality framework, methodology, and measurement approach across data domains. You will provide an independent view of data quality performance, helping leaders understand where data issues create business risk and where improvements can deliver measurable value. In addition, you will lead the Critical Data Element (CDE) approach, establish meaningful quality measures and thresholds, develop executive and Board-level scorecards, and drive remediation of data quality issues to their source.
Candidates located in the Eastern or Central time zones are preferred to accommodate business needs.
What You Will Do
- 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 (DQ) scorecards; establish baselines and report trends against them
- Oversee remediation: track issues to closure at source, escalate systemic defects, and drive root-cause analysis with process and system owners
- Independently assess master data quality reported by Enterprise MDM, so measurement is separated from execution
- Translate quality performance into business outcome and cost-of-poor-quality terms: preventable disputes, working capital, close effort, straight-through processing, and acquisition integration time
What You Need
Required:
- 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
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
United States of America Pay Ranges:
- USN: $118,000 - $196,700 USD Annual
- US5: $123,900 - $206,500 USD Annual
- US10: $129,800 - $216,400 USD Annual
- US15: $135,700 - $226,200 USD Annual
- US20: $141,600 - $236,000 USD Annual
- US30: $153,400 - $255,700 USD Annual
Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.
Skills Required
- Bachelor's degree in information systems, Data Management, Business, or a related field
- At least 6 years of experience in data quality, data management, or analytics, including ownership of an enterprise or multi-domain Data Quality program
- Experience building Data Quality frameworks, rules, scorecards, and remediation processes
- Strong analytical and SQL capabilities, including profiling and interpreting large data sets
- Experience presenting quality performance to senior leadership
- Master's degree
- Experience with Informatica Data Quality or comparable Data Quality tooling
- Experience in a regulated industry with Data Quality experience, including ALCOA+ and Part 11
- Experience quantifying the cost of poor data quality
Stryker Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stryker and has not been reviewed or approved by Stryker.
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Healthcare Strength — Multiple medical plan options with HSA support and global mental‑health access indicate broad, accessible care. These features materially enhance the overall value of the total‑rewards package.
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Retirement Support — A meaningful 401(k) company match with potential additional company contribution, alongside an ESPP, supports long‑term savings and wealth building. Documented plan specifics help employees understand eligibility, timing, and vesting mechanics.
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Parental & Family Support — Paid parental and caregiver leave, adoption and surrogacy assistance, and practical supports like breast milk shipping reflect a comprehensive, family‑friendly approach. These offerings address varied family‑building paths and caregiving needs.
Stryker Insights
What We Do
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 130 million patients annually. More information is available at www.stryker.com. Together with our customers, we are driven to make healthcare better.
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