Job Description
Job Description Job Title: Data Governance Specialist
Pay Rate: $60-65/Hr
Location: Newark, NJ (hybrid 3 days onsite)
Duration: 6 months
Expectation Day 1 Onsite
We are seeking an experienced Data Governance Specialist with a strong background in the investment management or financial services sector . In this role, you will lead the design, implementation, and operationalization of our enterprise data governance framework. You will act as a bridge between technical data teams and investment stakeholders, leveraging Ataccama ONE to automate data profiling, monitor data quality rules, and secure critical financial data assets
Key Responsibilities
- Governance Frameworks: Define and implement data governance policies, standards, business glossaries, and data stewardship models specific to investment data (e.g., reference data, positions, trades, pricing, and client reporting)
- Ataccama Implementation : Configure and manage Ataccama for automated data quality profiling, anomaly detection, monitoring, and master data tracking
- Data Lineage & Cataloging: Build and maintain end-to-end data lineage maps for critical data elements (CDEs) flowing from market data vendors and trading systems into reporting and analytics layers
- Data Quality & Remediation: Establish Key Performance Indicators (KPIs) and data quality rules; troubleshoot root causes of data errors and drive operational remediation processes
- Stakeholder Engagement: Partner with portfolio managers, risk teams, compliance officers, and IT custodians to embed data governance practices early in the data lifecycle
Qualification
- Experience: 10 years of hands-on experience in data governance, data quality, or metadata management, with at least 3 years working inside an Investment Management, Asset Management, or Capital Markets environment.
- Tooling Expertise: Proven, hands-on experience configuring and utilizing Ataccama (for data quality profiling, monitoring, or master data management).
- Domain Knowledge: Deep familiarity with financial instruments, portfolio accounting data, market data feeds, and wealth management workflows.
- Technical Skills: Strong SQL capabilities and familiarity with modern cloud data platforms (Snowflake, Databricks, Azure, or AWS).
- Communication: Exceptional stakeholder management and workshop facilitation skills, with the ability to translate complex technical data issues into business solutions.