Job opening (Germany | Munich/hybrid): Data Quality Enablement Manager

Our team the Data Excellence is looking for Data Quality Enablement Manager. Deadline for Applications is 31st July.

LinkedIn post, please feel free to like / comment / repost 🤗

https://www.linkedin.com/feed/update/urn:li:activity:7216349549043290112/

Please apply here: Data Quality Enablement Manager (m/f/x) Job Details | Daiichi Sankyo Europe (daiichi-sankyo.eu)

Roles & Responsibilities

You have a consultative approach to conducting thorough reviews of current data management practices and systems to identify anomalies and/or areas of improvement for data quality

Design and implement comprehensive data quality management strategies that align with organizational goals

Identify areas for data quality improvement and collaborating with data stewards, business analysts and IT teams to improve data quality processes

Implement data quality monitoring systems to continuously measure data quality and report on improvements or degradation over time

Work closely with senior business stakeholders to understand their data needs and challenges, ensuring data quality initiatives meet business requirements

Act 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

Support broader data governance initiatives by ensuring data quality issues are addressed and integrated into data governance frameworks

Explore the new challenges and opportunities for Data Quality & Data Governance to help accelerate Daiichi Sankyo’s vision to adopt and scale new GenAI-based solutions

Professional Experience & Education

Bachelor’s or Master’s degree in Information Technology, Computer Science, Data Science, or related field

Several years (minimum 3 years) proven experience working within Data Governance in a global organization, managing large-scale data quality initiatives;

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, both as an enabler and beneficiary (Data for GenAI & GenAI for Data)

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