Data Manager

Tata Consultancy Services (TCS) is an equal opportunity employer and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation.

TCS is a global technology services provider delivering AI-led solutions.

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.

• 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).
• 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.

CA $ 90, per year