Sr. Data Quality Specialist at McKesson
Mississauga, ON L5N 5P9, Canada -
Full Time


Start Date

Immediate

Expiry Date

04 Dec, 25

Salary

0.0

Posted On

04 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Assessment Methodologies, Computer Science, Mathematics, Statistics, Data Governance

Industry

Information Technology/IT

Description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

JOB SUMMARY

Reporting to the Sr. Manager, Data Governance and Quality, the Sr. Data Quality Specialist role will contribute to the enablement of the Data Governance strategy and roadmap within the Speciality Health business unit at McKesson Canada.
The scope of this role includes developing plans to support business stakeholders through the journey of implementing data quality capabilities, working with business data stakeholders to identify and prioritize data quality challenges, and implement appropriate remediation solutions.
Location: 2300 Meadowvale Blvd, Mississauga, ON
Work Arrangement: This is a hybrid position requiring candidates to work on-site at least 2 days per week at our designated office location. The remaining days may be worked remotely, subject to team and business needs.

MINIMUM QUALIFICATIONS

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field. Master’s degree preferred.
  • 5+ years of proven experience in data governance, data quality management, or a similar role, preferably within the Canadian healthcare sector, specifically in biopharma or specialty health with extensive experience in working with patient data.
  • Proficiency in data quality assessment methodologies, tools, and techniques, ensuring accurate and reliable data management.
Responsibilities
  • Lead Data Quality management activities while working with Enterprise Data Governance team and McKesson technology partners to define and implement Data Quality standards for Speciality Health’s critical data sources.
  • Perform metadata management while working with business unit’s to identify critical data assets and define critical data elements (CDEs) and definitions into the Enterprise Data Catalogue (Alation).
  • Collaborate with cross-functional teams to define data quality metrics, establish data quality rules, and implement data quality controls to monitor and measure data accuracy and consistency.
  • Create data quality rules and perform data profiling; assess data quality across six dimensions (accuracy, completeness, etc.).
  • Lead initiatives to address data quality issues by collaborating with McKesson Technology, business stakeholders, and data owners to implement data cleansing, enrichment, and validation processes.
  • Proactively engage with data owners, stewards, quality analysts and other stakeholders to establish and enforce compliance measures, ensuring data integrity and security throughout the organization.
  • Develop and deliver data governance and quality training programs to promote awareness and understanding across the organization.
  • Stay current with industry trends, regulations, and emerging technologies related to data governance and quality, and recommend improvements to existing practices.
  • Implement data governance tools and technologies to support data quality initiatives, including data profiling, data cleansing, and data validation processes.
  • Provide first-line support for data quality inquiries and collaborate with technical support teams and business units in the data escalations and data cleansing efforts.
  • Develop communication, resources, and training materials for the Specialty Health business teams for the Data Quality capability.
  • Develop Data Quality scorecards and metrics for the Specialty Health critical data assets.
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