Novare Technologies is seeking a Data Management Consultant to support enterprise-wide data management, analytics, and digital transformation initiatives. This role partners closely with business, technology, analytics, architecture, and governance teams to strengthen enterprise data capabilities, improve reporting and analytics practices, and enable data-driven decision-making.
The ideal candidate has a strong understanding of data management principles, governance frameworks, and analytics, with the ability to bridge business requirements and technical solutions while promoting data quality, consistency, and governance across the organization.
Key Responsibilities
1. Enterprise Data Management
- Support the planning, implementation, and continuous improvement of enterprise data management initiatives.
- Collaborate with business and technical teams to identify data requirements and translate them into practical solutions.
- Promote data quality, consistency, integrity, and accessibility across enterprise data assets.
2. Data Governance & Quality
- Assist in implementing data governance policies, standards, and best practices.
- Support data stewardship initiatives, including metadata management, data lineage, and data quality monitoring.
- Identify data quality issues and recommend corrective actions to improve data reliability.
3. Analytics & Business Intelligence
- Work with analytics and reporting teams to improve data availability for business intelligence and decision-making.
- Support the development of dashboards, reports, and analytical solutions that provide meaningful business insights.
- Ensure data used for reporting is accurate, validated, and aligned with business requirements.
4. Stakeholder Collaboration
- Partner with business units, solution architects, data engineers, and technology teams to support enterprise data initiatives.
- Facilitate discussions to understand business processes and identify opportunities for data-driven improvements.
- Provide guidance on data management best practices and governance principles.
5. Documentation & Continuous Improvement
- Develop and maintain documentation related to data standards, business definitions, processes, and governance artifacts.
- Participate in data management assessments and recommend process improvements.
- Stay current with emerging trends and technologies in data management, governance, and analytics.
Qualifications & Skills
- Education: Bachelor's degree in Computer Science, Information Technology, Data Analytics, Information Systems, Business, or a related field.
- Experience: 5+ years of experience in Data Management, Data Governance, Business Intelligence, Data Analytics, or related disciplines.
Technical Proficiency:
- Proficiency in *SQL** and experience with relational databases.
- Familiarity with Business Intelligence and data visualization tools such as *Power BI**, Tableau, or Qlik.
- Knowledge of data integration, *ETL/ELT** processes, and data warehousing concepts.
Domain Expertise: Strong understanding of enterprise data management principles, data governance, data quality, metadata management, and master data management (MDM).
Preferred Qualifications
- Experience with enterprise data governance tools such as *Collibra**, Microsoft Purview, Alation, or similar platforms.
- Familiarity with *DAMA-DMBOK** principles and enterprise data governance frameworks.
- Understanding of cloud data platforms such as *AWS**, Microsoft Azure, or Google Cloud Platform (GCP) is a distinct advantage.
- Relevant certifications in Data Management, Data Governance, Cloud, or Project Management.
