Senior Manager, Quality Engineering – Data

Aviva • Markham, ON

10d • Hybrid

About The Position

The Senior Manager, Quality Engineering – Data will lead and coordinate all aspects of Data Quality Engineering across Aviva’s enterprise data ecosystem. This role will own end-to-end quality for Aviva’s various Data Platforms, ensuring stability, accuracy, and reconciliation across technologies for both Business As Usual (BAU) and various enterprise transformational initiatives. Responsibilities will primarily be program and platform related, supporting critical data initiatives spanning ingestion, transformation, analytics, reporting, and downstream system feeds. The successful candidate will work closely with Program Delivery Leads, Enterprise Data Services, Engineering, Analytics, Finance, and Business Stakeholders, as well as Quality Engineering leaders and engineers across onshore, nearshore, and offshore teams. This role is pivotal in Aviva’s QA to QE transformation, focusing on shifting data quality left, embedding automation and controls into pipelines, and providing transparency into data quality, risk, and readiness through dashboards and metrics. As Aviva modernizes, data platforms and analytics are core to operations, with investments in modern cloud technologies, AI-ready platforms, and strong engineering practices to enable growth, efficiency, and regulatory confidence. The role offers exposure to exciting, diverse programs across IT and business teams, with significant scope to influence data quality design, measurement, and sustainment across the enterprise.

Requirements

• 10+ years of hands-on experience in Quality Engineering, with a strong focus on data platforms and data quality.
• Bachelor's degree in computer science, Computer Engineering, or a related field, or equivalent experience.
• Demonstrated experience leading large-scale data or platform programs from a QA/QE perspective.
• Strong understanding of data architectures, ETL/ELT pipelines, analytics, and reporting.
• Extensive experience with data testing, including ingestion validation, transformation accuracy, reconciliation, and downstream feed testing.
• Proven ability to define and operate data quality frameworks, metrics, and dashboards.
• Deep experience with automation, CI/CD, and DevOps concepts as they apply to data pipelines.
• Working experience with cloud data platforms, with Snowflake strongly preferred.
• Experience supporting legacy data platforms (EDH / DWH) alongside cloud migration programs.
• Strong understanding of Agile delivery and Scrum teams.
• Experience managing distributed teams (onshore, offshore, nearshore).

Nice To Haves

• P&C insurance domain experience and exposure to financial or regulatory reporting data considered a strong asset.

Responsibilities

• Provide overall leadership for Data Quality Engineering from a platform and program perspective, covering Snowflake, Enterprise Data Hub and more.
• Define, socialize, and implement Data QE strategies and test plans aligned to Aviva’s delivery and governance frameworks.
• Establish end-to-end ownership of data quality, consolidating testing for upstream, downstream, analytics, and financial/regulatory feeds under QE accountability.
• Lead quality validation ensuring data integrity, transformation accuracy, metadata consistency, and lineage.
• Ensure robust data reconciliation including validation of synchronization processes, reports, and downstream feeds.
• Continuously look for opportunities to increase efficiency by automation and using AI.
• Define and operationalize enterprise data quality rules, profiling, anomaly detection, and benchmark frameworks.
• Embed data quality checks directly into ETL / ELT pipelines and CI/CD, enabling early detection and prevention of defects.
• Provide transparency through quality dashboards, metrics, trend analysis, and risk reporting for senior partners.
• Drive shift left, test early practices, embedding data quality validation in design, development, and pipeline stages.
• Lead adoption of automation first testing, including reconciliation automation, API‑level validation, and repeatable data validation frameworks.
• Establish Test Data Management (TDM) strategies, including masked production data, synthetic data creation, and PII‑safe data handling.
• Work with engineering and platform teams to define service health indicators, quality gates, and readiness criteria for data platforms.
• Ensure mature defect triage, incident response, and root cause analysis processes are in place for data quality issues.
• Support audit readiness through traceable evidence, controls, and documentation for data quality and testing practices.
• Lead, coach, and develop Data QE Leads and Engineers across onshore, nearshore, and offshore delivery models.
• Act as the resolution point for all data related quality risks, issues, and blockers.
• Provide regular status updates and quality insights to delivery, business, and IT leadership.

Benefits

• Salary band for this position ranges from $115,000 to $160,000.
• Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
• Outstanding Career Development opportunities.
• Support for professional development education.
• Competitive vacation package with the option to purchase 5 extra days off per year.
• Employee driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.
• Corporate wellness programs to support employees’ physical and mental health.
• Hybrid flexible work model.
• Process in place to provide accommodations for persons with disabilities at all stages of the hiring process and during employment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior