Data Steward
Role details
Job location
Tech stack
Job description
We are seeking highly skilled and experienced Data Stewards to join a newly formed group concentrating on Data. The primary focus of the role will be to serve as a 'good steward' of the data by documenting the journey of it from source to target and all transformations in between. The Data Steward will act as a bridge between the business and the technical team, helping to establish standards, ownership, and trust in our data assets. Ultimately, this is a key role that helps us manage and exploit data as an asset., * Complete and maintain the group's Data Catalog
- Document data lineage, transformations and cleansing rules
- Work with Data Engineering to ensure data is handled correctly
- Help define effective Data Quality rules for the data they deal with
- Work with the Business and Data Engineers to help bottom out issues with the data
- Help drive root cause remediation of data issues at the platform/source
- Above all, the Data Steward is expected to serve as a subject-matter expert in the datasets they deal with and serve as the point of contact for them within the team, We occasionally collaborate with recruitment agencies to fill niche or specialist roles. However, we do not accept agency terms or pay fees for speculative CVs submitted directly to our hiring managers or outside our Applicant Tracking System. If you are a recruitment agency interested in partnering with us for candidate supply, please reach out to recruitment@arrowglobal.net If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.
Requirements
Do you have experience in SQL?, * Degree in Computer Science, Information Systems, Data Science, or a related field is preferable
- Proven experience in a Data Governance or Data Management program
- Familiarity with data privacy regulations (GDPR, CCPA)
- A background in financial data domains (IBOR/ABOR, transactions, market data, reference data)
- Strong experience within Real Estate, Credit, Banking, or NPL Asset Management
- Resourceful, motivated self-starter with the ability to collaborate across business and technology
- Strong analytical, verbal, and written communication skills
- Ability to acquire a deep understanding of specific datasets and how they flow
- Comfortable working in a fast-paced, evolving environment where processes are still being defined
- Proficiency in SQL is a must. Proficiency in Python is a plus