Senior Data Steward

Company Description

A subsidiary of Veolia group, Veolia North America (VNA) is the top-ranked environmental company in the United States for three consecutive years, and the country’s largest private water operator and technology provider as well as hazardous waste and pollution treatment leader. It offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. VNA helps commercial, industrial, healthcare, higher education, and municipality customers throughout North America. Headquartered in Boston, Mass., Veolia North America has more than 10,000 employees working at more than 350 locations across the continent. www.veolianorthamerica.com

Job Description

Position Purpose:

The Senior Data Steward ensures the proper management, use, and protection of an organization's 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 object’s 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 company's 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 organization's 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:

• Bachelor's 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