Senior Data Manager/Analyst

Verily•Waterloo, ON

7d•CA$103,500 - CA$116,500•Onsite

About The Position

Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise. We are seeking a Senior Data Manager / Analyst to drive high-quality data operations across Verily's products and customer programs. In this role, you will own complex clinical and health-data domains — from data collection and standards-based modeling through delivery — and partner closely with Product, Engineering, Analytics, and cross-functional stakeholders to deliver trusted, secure, and interoperable data solutions. You will lead end-to-end data management activities spanning customer delivery and reconciliation, data quality, database lifecycle management, access management, content authoring and localization, and data standards and interoperability (including LOINC, CDASH, and FHIR) — all while supporting Verily's mission to advance healthcare innovation through reliable, accessible, and actionable data.

Requirements

Bachelor's degree in Computer Science, Data Science, Life Sciences, Health Informatics, or a related field, or equivalent practical experience.
5 years of experience in data management, data operations, analytics, product operations, or a related field.
Experience using SQL or similar tools to analyze, validate, and troubleshoot complex datasets.
Experience managing complex data quality initiatives, operational workflows, and partnering with Engineering, Product, and cross-functional stakeholders to deliver scalable solutions.
Qualified candidates must be legally authorized to work in Canada.
Verily is currently unable to offer employment-based visa or work permit sponsorship for this position.

Nice To Haves

Experience working with healthcare, life sciences, clinical research, or other regulated data environments.
Experience supporting the end-to-end data lifecycle, including data ingestion, validation, transformation, access management, and customer delivery.
Experience designing scalable operational processes, data quality frameworks, and data governance practices.
Experience leveraging automation, AI, or data tooling to improve operational efficiency and data quality.
Strong analytical, communication, stakeholder management, and problem-solving skills, with the ability to influence cross-functional teams.

Responsibilities

Lead end-to-end data operations, customer onboarding, secure data access, and change management across multiple programs, ensuring scalable delivery, governance, and compliance.
Provide configuration expertise for data collection systems, including clinical trial platforms, when applicable.
Drive data quality by defining validation strategies, performing data validation and reconciliation, testing user workflows, and leading root cause analysis and issue resolution.
Author, maintain, and validate product content, metadata, and schemas, including translation and localization workflows.
Partner with Product and Engineering throughout the product lifecycle to define requirements, improve data infrastructure, enable data liquidity, and deliver customer-facing data capabilities.
Improve operational efficiency by developing reusable frameworks, documentation, and best practices; sharing knowledge through technical guidance and training; and leveraging automation and AI-enabled workflows.