Our clientSR Data Management Consultant with data governance experience to support a data transformation program for an investment client
Department:Data & AI Team
Contract Duration:12 months
Overview:This is a great opportunity to join our Data & AI team and play a pivotal role in a business transformation program. The Data Management Analyst will ensure data quality, integrity, and accessibility across the organization by working closely with different departments to gather, analyze, and interpret critical data. The ideal candidate will possess a blend of technical skills, strong business acumen, and a passion for maintaining data governance standards and frameworks.
Must-Have Qualifications:
Minimum of 10+ years in
data managementProficiency in data analysis tools such as SQL, Power BI and Excel (and other data visualization tools). Solid understanding of
data governanceframeworks and best practices.
Investmentand or capital management industry experience
Nice-to-Have Qualifications:
Education: Bachelor’s degree in Data Science, Information Management, Computer Science, or a related field. Experience with data quality tools and methodologies. Knowledge of regulatory data requirements (e.g., GDPR, HIPAA). Certification in data governance or management (e.g., Certified Data Management Professional (CDMP), Data Governance & Stewardship Professional (DGSP)). Programming experience in Python, R, or other relevant programming languages.
Key Responsibilities:
Data Quality Management: Collaborate with business units to document data quality requirements, monitor and assess data quality metrics, and proactively identify and resolve data quality issues. Data Governance: Implement, enforce, and monitor data governance policies and standards, serving as the primary point of contact for data-related queries and decisions. Data Analysis: Conduct comprehensive data analysis to deliver insights that support business decision-making, improve operational efficiency, and enhance data utilization. Data Documentation: Create and maintain detailed documentation of data definitions, lineage, standards, and governance practices to ensure consistent use across departments. Collaboration: Work with data owners, users, and IT teams to align data management practices with business objectives and ensure a seamless data flow. Training & Support: Offer training to staff on best practices in data stewardship and the tools available to manage and analyze data effectively. Reporting: Generate and present regular data quality and compliance reports to senior management. Stakeholder Engagement: Collaborate with cross-functional teams to understand data needs and deliver tailored solutions that drive organizational growth.
