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Manage operational risk and control governance through access reviews, control testing, remediation, risk reporting, business impact assessments, and audit readiness. Evaluate control effectiveness, identify gaps, create corrective action plans, validate evidence, review permissions and ACLs, monitor transaction patterns for fraud risks, and communicate findings to stakeholders and senior audiences.

Leads Agile delivery for regional health data initiatives, including a common Health Data Model and Health Data Products. Coaches Scrum teams, facilitates delivery, removes impediments, aligns stakeholders, manages risks and dependencies, embeds governance and compliance, and drives continuous improvement. Partners with data scientists, AI teams, Product Owners, architects, and business leaders to support analytics, Generative AI, and data-driven health initiatives.

Build and support enterprise-scale data products, models, pipelines, integrations, and data lake platforms for GWAM Asia. The role uses Azure data technologies, Spark, Python, and SQL to deliver scalable solutions, conduct proofs of concept, optimize performance, troubleshoot incidents, and maintain technical documentation. Responsibilities include testing, deployment validation, production support, and collaboration with business and technology stakeholders across Asia and Canada.

The role involves planning, executing, and leading audit projects, evaluating internal controls, preparing reports, and collaborating with audit teams while focusing on risk management and operational efficiency.

Ensures the accuracy, completeness, consistency, timeliness, and reliability of health data products. Develops and maintains manual and automated tests for data pipelines, APIs, reports, dashboards, and analytical datasets. Validates mappings, transformations, business rules, and reconciliations; investigates defects and supports resolution. Defines quality metrics, dashboards, governance processes, audits, and continuous improvement initiatives while collaborating with data engineers, analysts, AI teams, product owners, and business stakeholders.

Designs, develops, and supports enterprise data pipelines, integrations, ETL/ELT processes, and data products using Azure data technologies, Spark, Python, and SQL. Maintains enterprise data lake reliability, monitors performance, resolves incidents, performs testing, and supports deployments. Collaborates with stakeholders across Asia and Canada, conducts technology proofs of concept, documents solutions, and participates in Agile delivery. The role also supports data quality, governance, reusable datasets, and analytics-ready data products.

Lead the design and delivery of regional health data models, pipelines, and reusable data products. Provide technical leadership, troubleshoot complex engineering issues, enforce scalability and security standards, and oversee testing, deployment, monitoring, compliance, and documentation. Collaborate with health business units, data scientists, AI teams, and technical stakeholders to support analytics, generative AI, provider management, KPI, and claims use cases. Contribute to the data engineering community through best-practice sharing and reusable solutions.

Investigates and evaluates insurance claims for eligibility, accuracy, fraud indicators, policy compliance, and regulatory alignment. Leads and develops investigation teams, monitors claim quality and performance, identifies trends and risks, reports suspicious activity, collaborates with claims, underwriting, legal, risk, and compliance stakeholders, and supports process improvement, audit readiness, and internal controls.

Provides life insurance solutions to bank clients, working with branch sales and service teams to address protection and long-term savings needs. Builds lasting client relationships through customer service, recommends innovative insurance products, and performs related duties. The role requires motivation, communication, problem-solving, adaptability, and preferably bancassurance, sales, or customer service experience.

Provides life insurance solutions to bank clients, collaborating with branch sales and service teams to address protection and long-term savings needs. The role develops lasting client relationships through customer service, recommends innovative insurance products, and supports sales objectives. Candidates should be self-driven, motivated, communicative, analytical, adaptable, and open to continuous learning. Bancassurance sales experience is preferred, though relevant sales or customer service experience from multiple industries is also considered.