Data Quality Group Manager, Senior Vice President

We aim to be an employer of choice - enabling managers, providing opportunities for growth and competitive rewards to colleagues at all stages of their careers, building a pipeline of leaders and furthering a culture that aligns with our values. We're currently looking for a high caliber professional to join our team as Data Quality Group Manager, Senior Vice President - Hybrid based in Manila, Philippines. Being part of our team means that we'll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. The Data Quality Group Manager is accountable for managing and executing continuous Data Quality controls, standards, and processes. The Data Quality Group manager ensures timely, accurate, and complete reporting of data in the required standards. The Group Manager oversees end-to-end process of working with various stakeholders to resolve data challenges by understanding root cause / thematic issues and executing data quality resolution. This job requires excellent communication skills required to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Accountable for significant direct business results or authoritative advice regarding the operations of the business. Responsible for handling staff management issues, including resource management and allocation of work within the team/project. 10+ years of experience, Banking or Finance industry preferred Experience defining and implementing data quality programs Communicates effectively, develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; able to drive consensus, and influence relationships at all levels Collaborates effectively by building partnerships and working well with others to meet shared objectives Ability to gain confidence and trust of others through honesty, integrity and authenticity Strong negotiation, influencing and stakeholder management skills across a variety of stakeholders at different levels Optimizes work processes by balancing effective / efficient processes with a focus on continuous improvement. Demonstrates ability to balance between seeing the "big picture" while paying close attention to detail Organizational savvy; understands systems, management processes, knows where to go for information and how to interpret them. Excellent problem-solving and critical-thinking skills to recognize & comprehend complex issues to identify and recommend appropriate solutions. Ability to work independently and use a high level of independent judgment, while effectively partnering and communicating with a broader team. Use of influence skills and matrix management skills to ensure solutions meet enterprise requirements. Automation, controls & process efficiency mindset Must be open to work night shift Bachelor's/University degree or equivalent experience / Masters degree Change Management, Data Analysis, Data Governance, Data Lineage, Data Management, Data Quality, Internal Controls, Management Reporting, Program Management, Risk Management.
For complementary skills, please see above and/or contact the recruiter.
Manage a team or a functional area, while maintaining appropriate staffing requirements to meet operational needs Responsible for the overall direction, coordination, implementation, execution, control of Data Quality requirements, standards and processes Liaise with other leaders to understand data challenges and solutions, and drive data quality resolution enterprise wide Directly impacts the businesses / functions by influencing strategic decisions through advice or council Address potential barriers to timely execution before they impact the delivery, communicate potential risks and plans to mitigate issues and concerns Manages and executes strategic design and process improvement projects across the enterprise Accountable for data consumption demand from strategic data repositories

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