Senior Data Quality Leader
IntelAbout the role
Job Details:
Job Description:
We are seeking a highly experienced and dynamic Data Quality Leader to spearhead our Enterprise Data Quality Services Delivery Practice. The ideal candidate will possess extensive knowledge and expertise in data quality design, standards, business partner engagement, and delivery. With a proven track record of enabling major transformations through data quality and profiling, this Player Coach role demands both thought leadership and hands-on execution. The successful candidate will be adept at developing roadmaps, articulating value and impact, and building high-performing teams to drive our company's success.
Key Responsibilities:
Lead a team of data quality professionals, fostering a collaborative and high-performance environment.
Establish an enterprise-wide data quality framework to enhance data quality and trustworthiness, driving organizational change in behavior, governance, quality metrics, processes, related data tools, and data architecture.
Develop and enforce data quality standards and policies to ensure consistency and reliability across the organization.
Communicate and coordinate with vendors, managing strategic vendor relationships to support data quality initiatives.
Define data quality standards, data protection standards, adoption requirements, and performance and quality metrics to ensure compliance with data-related policies, standards, roles, and responsibilities.
Expand roles and responsibilities related to data quality, ensuring clear accountability for the stewardship of the company's principal information assets.
Act as a liaison between Business, Data Governance, and IT, leading and coordinating with senior and top management to resolve end-to-end data quality issues that may arise from different business units and departments.
Clearly articulate the value and impact of data quality to senior management and key stakeholders, driving awareness and support for data quality initiatives.
Build, mentor, and lead high-performing data quality delivery teams dedicated to operational excellence.
Continuously assess and integrate best practices and innovative solutions in data quality to maintain a competitive edge.
Partner with the Data Technical Delivery team to enhance the enterprise data quality platform and service capabilities, ensuring robust and scalable solutions.
Key Soft Skills:
Demonstrated ability to develop strategic roadmaps for data quality milestones and deliverables, ensuring alignment with organizational goals.
Exceptional communication skills, with the ability to clearly articulate value propositions and the impact of data quality initiatives to diverse audiences.
High collaboration skills, with a proven track record of working effectively in cross-functional teams and with external partners.
Extensive experience in supporting major transformations, particularly with SAP S/4, showcasing the ability to drive significant change.
Strong leadership skills, with the capability to build, mentor, and manage high-performing delivery teams, fostering a culture of excellence and continuous improvement.
Qualifications:
You must possess the below minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
Bachelor’s Degree with 9+ years of experience, OR Master’s Degree with 6+ years of experience, OR PHD with 4+ years of experience in Computer Science, Information Systems, or STEM-related field.
6-10 years of experience in data quality, strategy, framework, standards development, and delivery.
5-7 years of experience managing data quality consultants/advisors.
3-5 years of hands-on experience with data quality tools such as Informatica, Information Analyzer, and Talend.
3+ years of experience in people management, leading and mentoring teams.
5+ years of experience defining KPIs/measurements and designing data quality
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