Data Manager Lead data issue investigations, identify root causes, and implement effective remediation plans. • Own data issue management for portfolio inclusive of stakeholder communications and escalations. • Monitor service performance, define targets, analyze trends, and drive corrective actions. • Manage relationships with delivery teams and partners, hold regular service delivery reviews. • Ensure operational documentation and training materials remain current and accessible. • Provide technical and people leadership, setting clear objectives and delivering results. • Measure and monitor the level of service, analyze trends, agree on service target levels, and determine appropriate actions. • Partner with technology and business teams (upstream and downstream) to assess environmental changes, data impacts, and performance requirements. • Follow process management discipline for change management of all systems managed. • Work with technology partners to ensure that environmental modifications interact appropriately, data conversion impacts are considered, and other areas of impact are addressed and meet performance requirements. • Understand baseline support costs (people, infrastructure, application) and work to drive down the cost of the supported services. • Ensure operational, reputational, and proprietary risks are minimized and focus on process improvement. • Drive and manage a highly effective controls environment covering change management, production implementation, compliance and audit controls, and business continuity. • In partnership with other team members, ensure a close relationship is maintained with partners (internal and external), to keep informed of their business needs and direction. Job Requirements: • Experience in data management, preferably within a financial institution • Strong analytical, problem-solving, and decision-making capabilities. • Excellent verbal and written communication skills and confidence to interact at senior levels in an organization. • Proficiency in SQL, Python, relational databases, and data exchange formats (e.g., JSON, XML). Internal • Experience with data architecture and modeling (data warehouse concepts, schema design, data integration patterns). • Demonstrated expertise in ETL design, data integration, and pipeline monitoring. • Familiar with cloud platforms, preferably Microsoft Azure. • Proven ability to lead and influence teams across multiple geographies. • Readiness to direct the development of problem resolutions, plans and strategies for operational improvement/advancement. • Comfortable serving as a key internal and external point of contact. • Commitment to developing team capability in line with business and technology strategy. • Strong interest in continuous learning and staying current with industry trends. • Client-focused mindset with an emphasis on partners Salary Range - CA$ 90,000 - CA$ 110,000 Per Year TCS does not use artificial intelligence tools for candidate screening or evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion.