Senior Data Management Lead / PM - Data Integration, Operations and Governance

Role: Data Manager- PM/BSA

Duration: 12 months

Hybrid: 4 days a week

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