Data Quality Enablement Senior Manager - Lisboa Job Description:
WHAT YOU'LL DO
The Data Quality Enablement Senior Manager plays a critical role ensuring that the data used within the organization is accurate, complete, and reliable by promoting and facilitating high standards of data quality.
We are seeking a Data Quality Enablement Senior Manager with a visionary outlook towards integrating Data Governance and Quality at the core of our largest business transformation programs in corporate functions and Generative AI endeavours. In this key position, you will spearhead the integration of robust data management practices across our business functions and with our pioneering AI projects, ensuring that our advancements are built upon a solid foundation of data integrity. Your role will be crucial in embedding Data Quality and Governance as the backbone of our transformational initiatives in Finance, HR, Knowledge, Procurement & Marketing, elevating our Data and Analytics products to new heights of excellence, reliability, and impact.
We are looking for candidates deeply passionate about Data Quality, outstanding leadership, strategy and technical skills, and the ability to communicate effectively across multiple levels of the organization, to lead the way in marrying process excellence, advocacy, and disrupting AI technology to help BCG attain the highest level of Data Maturity.
YOU'RE GOOD AT
You have a consultative approach conducting thorough reviews of current data management practices and systems to identify anomalies and/or areas of improvement for data quality.
Designing and implementing comprehensive data quality management strategies that align with organizational goals.
Identifying areas for data quality improvement and collaborating with data stewards, business analysts, and IT teams to improve data quality processes.
Implementing data quality monitoring systems to continuously measure data quality and report on improvements or degradation over time.
Working closely with senior business stakeholders to understand their data needs and challenges, ensuring data quality initiatives meet business requirements.
Acting as an advisor and thoughtful partner to business and technical stakeholders, providing training and guidance to business users on data quality best practices, tools, and processes to foster a culture of data accuracy and integrity.
Supporting broader data governance initiatives by ensuring data quality issues are addressed and integrated into data governance frameworks.
Exploring the new challenges and opportunities for Data Quality & Data Governance to help accelerate BCG's vision to adopt and scale new GenAI based solutions.
YOU BRING (EXPERIENCE & QUALIFICATIONS)
Bachelor's or Master's degree in Information Technology, Computer Science, Data Science, or related field.
5+ years' proven experience working within Data Governance in a global organization, managing large scale data quality initiatives; leadership experience preferred.
Knowledge of data quality tools, databases, data warehousing, and data analysis techniques. Familiarity with SQL and data visualization.
Strong analytical and problem-solving skills to identify data quality issues and develop effective solutions.
Strong customer and business focus with demonstrated ability to form effective working relationships and resolve conflicts.
Curiosity and eagerness to explore the new frontiers and opportunities for Data Governance & Quality in the GenAI space.
Excellent communication and interpersonal skills to work with various stakeholders and promote data quality best practices across the organization.
Strong project management skills, with the ability to lead projects from inception to completion.
YOU'LL WORK WITH
Business & Tech Leadership across domain areas (Finance, HR, Knowledge, Procurement, Marketing).
Business & Tech management & teams across domains (Finance, HR, Knowledge, Procurement, Marketing).
Global & Functional Data Stewards.
Global Digital & Data Product Portfolio management & teams.
New GenAI Platform activation business & tech teams.
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