Senior Data Steward

Position Purpose:

The Senior Data Steward ensures the proper management use and protection of an organizations data assets. He/ she is responsible for formatting and standardizing data for it to be usable by the business. He/she will be in charge of implementing functional objects format for mapping data into this format and defining how data will be visualized. He can also be responsible for one or several business objects within his/her data domain in terms of its definition collection classification protection use and quality. He/she identifies precisely the data needed for a functional need alongside the business representatives.

Primary Duties/Responsibilities:

• Design Functional Objects: Be accountable for the functional objects identity card (definition example belonging to a data domain compliance requirements links to other BO etc.).
• Data Modeling: Ensure that the data modeling of the functional object is up to date.
• Data Explainability: Ensure that the functional object describing a business object is explainable to everyone in order provide data quality.
• Data Set Modeling: Be able to communicate with other members of the management team regarding data analysis in his/her area.
• Ensure capacity for know-how transmission in time regarding his/ her business/ functional objects through sustainable documentation.
• Data integration: Responsible for the data life cycle from creation storage modification archiving to the deletion of data if necessary. He/she therefore ensures that the companys databases are properly organized so that they can be used by the other Data Management actors.
• Data Quality: Define data quality rules monitor them and implement action plans to improve data quality.
• Metadata Management: As the person accountable for the quality of the data manage standard business definitions and metadata of his/her functional objects in accordance with the Data Owners.
• Data Governance: Communicate issues and other relevant information (e.g. root causes) to other data governance actors who are in a position to influence remediation.
• Data Compliance: The data must be compliant both in terms of the local protection regulations and the organizations quality standards. Resolve any issue that would emerge regarding the conformance of data to the local policies over the lifetime of the data.
• Data Security: Define access to data for individual employees but also reduce security breaches from third parties.
• Facilitate the Circulation of Data: support and provide data expertise for the implementation of data flows and organize their distribution accordingly.
• Provide support and business expertise in all technical matters.

Qualifications :

Education/Experience/Background:

• Bachelors degree in Computer Science Information Systems Data Analytics or a related field is generally required.
• Extensive experience (5-7 years or more) in data management data governance and data stewardship roles.
• Significant hands-on experience with SAP Analytics Cloud and other SAP data and analytics tools.
• Experience in developing and implementing data governance policies processes and standards.
• Experience in data modeling data quality management and metadata management.
• Experience in working with cross-functional teams including business analysts data engineers and data scientists.
• Strong understanding of data management principles data governance frameworks and data quality best practices.
• Knowledge of data integration tools and techniques.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills to collaborate with stakeholders across different business units.
• Ability to understand and translate business requirements into data management solutions.
• Knowledge of data privacy and compliance regulations (e.g. GDPR CCPA) is a plus.
• Certification in SAP Analytics Cloud or other relevant SAP certifications may be required or preferred.

Knowledge/Skills/Abilities:

Main Skills

• Compliance of data with intended uses in operating procedures processes decision making and planning.
• Have a solid understanding of data management principles including data modeling data quality data security data privacy and data governance.
• Perfect/expert know-how of his/her business domain (ex: water quality waste collection accountability billing procurement).
• Basic understanding of technical matters such as: API Statistics Analytics ML Data Base SQL BigData etc.
• Know-how in data modeling (ex: be able to read a conceptual data model).
• Know-how in data security (ex: access management to the data).
• Understanding/basic knowledge of local data protection regulations.
• Know-how in data governance: understanding of other data actor roles in data governance (ex: Data steward data architect data protection manager/officer).
• Ability to organize and realize testing processes of functional objects and user acceptance for his/ her data owner.
• Understanding/ basic knowledge of data analytics (Business Intelligence Data visualization Data Science).
• Know master data management approaches their architectures and associated governance.
• Know-how in metadata management software data modeling database management systems.
• Good understanding/ knowledge of local data protection regulations.

Key Behavioral Skills

• Ability to interact well with other people and relate to them.
• Ability to analyze available facts observations and arguments to form a judgment.
• Knowing-how to listen transmit information or convey a message clearly and in an impactful way while adapting to ones audience. Dare to speak with honesty and respect in order to progress collectively.
• Ability to take a decision and mobilize adapted resources to contribute to decision making if needed.
• Ability to use all available information to understand a situation from all angles.
• Ability to have strong time management ability to prioritize tasks manage multiple projects simultaneously and meet deadlines.
• Ability to identify root causes of issues propose solutions and make recommendations.
• Ability to understand a project and to organize tasks according to a planning and a workload.

Additional Information :

Benefits: Veolias comprehensive benefits package includes paid time off policies as well as health dental vision life insurance savings accounts tuition reimbursement paid volunteering and more. In addition employees are also entitled to participate in an employer sponsored 401(k) plan to save for retirement. Pay and benefits for employees represented by a union are outlined in their collective bargaining agreement.

We are an Equal Opportunity Employer! All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or protected veteran status.

Disclaimer: The salary other compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time subject to applicable law.

Remote Work :

No

Employment Type :

Full-time