Lead Data Product Manager at Extendicare
Extendicare
Shape the future of data at Extendicare as our Lead Data Product Manager. In this hybrid role, you'll create AI-ready data products that drive analytics across our organization.
Reporting to the Chief Data, Analytics & Knowledge Officer, you will lead the development of a portfolio of trusted data products while ensuring data governance principles are met. With a focus on people and workforce data, you'll apply hands-on analytics to maintain data quality and oversee a small, dynamic team. Your cross-functional leadership will be key to establishing clear standards and tools within our data governance frameworks.
Key Responsibilities: • Define and build priority data products for analytics use • Validate and monitor data quality pipelines actively • Lead a cross-functional data governance group • Partner with Analytics & AI team for data readiness • Develop a small team focused on data engineering tasks
Requirements: • 5–10 years in data management or analytics roles • Bachelor's degree in relevant fields; advanced degree preferred • Strong SQL skills for data profiling and validation • Proven experience in leading high-performance teams • Excellent communication skills for non-technical audiences
Make an impact by delivering critical data products that meet enterprise needs and enhance our service quality. #J-18808-Ljbffr
Reporting to the Chief Data, Analytics & Knowledge Officer, you will lead the development of a portfolio of trusted data products while ensuring data governance principles are met. With a focus on people and workforce data, you'll apply hands-on analytics to maintain data quality and oversee a small, dynamic team. Your cross-functional leadership will be key to establishing clear standards and tools within our data governance frameworks.
Key Responsibilities: • Define and build priority data products for analytics use • Validate and monitor data quality pipelines actively • Lead a cross-functional data governance group • Partner with Analytics & AI team for data readiness • Develop a small team focused on data engineering tasks
Requirements: • 5–10 years in data management or analytics roles • Bachelor's degree in relevant fields; advanced degree preferred • Strong SQL skills for data profiling and validation • Proven experience in leading high-performance teams • Excellent communication skills for non-technical audiences
Make an impact by delivering critical data products that meet enterprise needs and enhance our service quality. #J-18808-Ljbffr
Reference: WJ-3875_13393797