Individually we are people, but together we are Aviva. Individually these are just words, but together they are our Values – Care, Commitment, Community, and Confidence. 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, while continuing to ensure stability, accuracy, and reconciliation across technologies for BAU and various enterprise transformational initiatives. ResponsibilitiesData Quality Engineering LeadershipProvide 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. Data Quality Frameworks & MetricsDefine 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. Shift Left & Automation‑FirstDrive 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. Operational Excellence (DataOps / SRE approach)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. LeadershipLead, 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. Qualifications10+ 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). P&C insurance domain experience and exposure to financial or regulatory reporting data considered a strong asset. BenefitsThe 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. 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 our employees’ physical and mental health. Hybrid flexible work model. Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process. Aviva Canada welcomes applications from all qualified individuals and has a process in place to provide accommodations for persons with disabilities at all stages of the hiring process and during employment. If you require an accommodation during the interview or hiring process, please contact your Aviva Talent Acquisition Partner so that an appropriate accommodation can be arranged.#J-18808-Ljbffr