Data Manager-PM/BSA

• Job Title: Data Manager- PM/BSA
• Job Location: Toronto,Ontario-Hybrid (4 days a week)
• Long Term Contract

• 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:

• • Minimum 5 years’ 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 partnership and service excellence