THE ROLE:
The ideal candidate will possess:
- Strong understanding of Investment Data and Investment Management industry
- Deep knowledge of data governance tools and best practices
- Minimum of 10 years’ experience as Data Analyst
- Knowledge of Data Governance & Data Quality
- Proven hands-on experience in project management
- SQL skills with any database and Snowflake
- Excellent communication skills including the ability to communicate effectively in both formal and informal contexts in a fashion tailored for the audience
- Ability to deliver under stress in a fast-paced environment
- Strong process analysis and problem-solving skills
- Experience implementing a successful data onboarding program
- Familiar with agile process and JIRA
The person who secures this role will:
- Define data policies and controls for new data requirements
- Collaborate with other teams to implement data governance policies in data ingestion and operational processes
- Provide Data Ownership for certain standard data sets such as Morningstar, Index providers
- Clear understanding of the role of Data Consumers and the legal and regulatory matters affecting their data sets.
- Manage data sets by defining rules that implement and monitor controls and are accountable for supporting the data issue remediation and responding to data quality issues raised against their data
- Identify and promote usage of systems that provide trusted, consistent, and accurate data
- Provide thought leadership and participate in projects that involve data life cycles and processes
- Assess the current processes and technology in use to make recommendations for effective and practical data governance process
- Identify and document data quality problems through data profiling and advanced analysis
- Provide support for data issues by adopting firm level application Data Issue Management.
- Document, assess, influence, and synthesize business requirements to develop, enable, and advance data platform and stewardship capabilities
- Translate complex business requirements into focused technical requirements and data solutions