Enter a job title or keyword
Senior Data Management Lead PM – Data Integration, Operations and Governance
Job Location:
Monthly Salary:
Experience Required:
Posted:
7 July 2026 (30+ days ago)
Posted:
Application Deadline:
4 October 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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
Required Skills:
60-70
Required Education:
Job Overview:Were seeking an experienced ETL Pipeline Developer proficient in Python to design implement and maintain robust data pipelines. This role is critical for transforming raw data into valuable business insights across our Responsibilities: Architect and build efficient ETL pipelines in Python to process diverse data sources Implement data transformation logic using pandas for complex manipulations and aggregations Document pipeline architecture data flows
