- Ensure the quality, availability, and governance of enterprise data, which is necessary for operational excellence and long-term scalability.

- Develop and implement roadmaps and initiatives through cross-functional partnerships to improve, expand and grow critical data element data quality.

- Understand how critical data elements are processed globally and set data quality standards and guidance for data operations teams.

- Work with data quality and data supply chain teams to monitor and measure the data against these standards.

- Proactively review data quality results, issues and observations on a regular basis to ensure data quality is maintained and improved.

- Provide guidance and support to regional teams.

- Develop and publish directives on how data should be managed throughout its lifecycle.

- Understand client insights, usage behaviors and requirements for their assigned CDE/Domain.

- Support client-facing teams in understanding critical data elements and engage product teams to identify business needs and develop, implement, and manage the data asset.

- Establish and maintain strong relationships with key business and technology stakeholders.

- Serve as a role model, inspiring innovation and teamwork within the team and across departments.

- Continually evaluate processes for improvement, taking the lead in developing and executing plans.

- Develop innovative alternatives and modern approaches to enhance the areas of our business under our control.

- Stay updated with the latest trends and technologies in data & analytics and apply them to improve existing processes.

Key Skills :

- Bachelors Degree in Computer Science, Operations Research, Mathematics, Engineering or a related field.

- Masters Degree is a plus.

- 8+ years of experience in data management (data quality, data governance, data stewardship, master data management) or a related field.

- Ability to manage multiple assignments, many of which have challenging timelines.

- Ability to work independently, as well as collaborate effectively in a team environment.

- Excellent communication and presentation skills.

- Proficiency in Microsoft Office Suite.

- Passionate and curious about data with the ability to query and analyse datasets in order to drive fact-based decisions.

- Ideally experience with a range of data analysis tools and languages (e.g., SQL, Regex, Python, Looker, Big Query, Power BI, Snowflake, Databricks).

- Show an ownership mindset in everything you do.

- Be a problem solver, be curious and be inspired to take action.

- Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.

- Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.

- Where applicable, fluency in English and languages relevant to the working market