Pursue a pivotal leadership career by exploring Data Quality Senior Manager jobs, a critical function at the intersection of data governance, business strategy, and regulatory compliance. Professionals in this senior role are the custodians of an organization's data integrity, designing and overseeing the frameworks that ensure data is accurate, consistent, reliable, and fit for purpose. They move beyond tactical data cleansing to establish the strategic vision for data quality, transforming data into a trusted enterprise asset that drives sound decision-making and mitigates operational and regulatory risk. A Data Quality Senior Manager typically shoulders a wide array of responsibilities. Central to their role is the development, implementation, and continuous refinement of the enterprise data quality governance framework. This involves defining data quality standards, policies, and procedures, and establishing key metrics and controls to monitor the health of critical data elements. They lead data quality issue management processes, from initial triage and root cause analysis through to remediation, ensuring that data defects are resolved systematically and their business impact is minimized. A significant part of their duty is stakeholder engagement; they act as a subject matter expert, collaborating with business leaders, IT teams, data architects, and compliance officers to embed data quality principles into everyday processes and strategic initiatives. They are also responsible for implementing robust data lineage and control frameworks, providing transparency from data origin to consumption, and ensuring adherence to evolving data regulations. The typical skill set for these leadership jobs is both deep and broad. A strong candidate usually possesses 10+ years of progressive experience in data management, with a significant portion dedicated to data governance, data quality, or a related control function like risk or audit. Expertise in data governance tools for cataloging glossary terms, documenting lineage, and measuring data quality rules is essential. They must have demonstrable experience in structured project and program management, capable of leading complex, cross-functional initiatives. Superior analytical and problem-solving skills are paramount, complemented by exceptional verbal and written communication skills to articulate complex data concepts to non-technical audiences. Effective organizational influencing and strong people management skills are critical, as the role requires building accountability and driving cultural change around data ownership. A bachelor's degree in a relevant field is standard, with advanced degrees or certifications in data management being highly advantageous. For those seeking to shape an organization's data destiny, Data Quality Senior Manager jobs offer a challenging and rewarding career path at the forefront of the data-driven enterprise.
