Overview:

Millennium is a global, diversified alternative investment firm, founded in 1989, which manages $83.5 billion in assets. Defined by evolution, innovation and focus, Millennium's mission is to deliver high-quality returns for our investors. Millennium seeks to empower talented professionals with the sophisticated expertise, resources and technology to pursue a diverse range of investment strategies across industry sectors, asset classes and geographies.

Job Function Summary:
As an Data Governance Specialist, your role will involve supporting and driving data governance and control initiatives, with a particular focus on the firm’s Trader Master reference data. This position requires a strong technical background in Data Management, Data Lineage, Data Quality, and Data Analytics within the Financial Services and/or Technology domains. The role emphasizes enhancing data quality, governance infrastructure, and operational efficiency while collaborating with cross-functional teams and contributing to high-impact projects in a fast-paced, deadline-sensitive environment.

Principal Responsibilities:

• Data Governance Frameworks: Collaborate with cross-functional teams to design, implement, and maintain preventive controls, data governance frameworks, and entitlements management.

• Data Quality Management: Monitor and address data quality exceptions, ensuring accuracy for trader lifecycle and contract data while implementing proactive controls and SLAs.

• Change Management: Support the development of the Trader Master Data Catalog and structured workflows for change requests, approvals, and downstream impact assessments.

• Automation and Analytics: Automate manual reporting processes and develop dashboards for data quality monitoring and operational risk management

• Operational Efficiency: Drive efficiency by automating exception monitoring, resolution, and reconciliation processes to reduce reliance on manual workflows and improve scalability.

• Cross-System Integration: Collaborate with technology teams to address and resolve data integration exceptions, ensuring seamless reconciliations with downstream systems.

• Historical Data Validation: Partner with stakeholders to validate historical temporal data, ensuring accurate backfilling for strategic builds and system migrations.
  

Qualifications/Skills:

• Education: Bachelor’s degree in a relevant field (e.g., Finance, Data Science, Computer Science, or equivalent)

• Experience: 5-8 years of experience in financial services, with exposure to trading strategies, fund structures, and financial products

• Technical Expertise: Proficiency in databases, data structures, and tools such as SQL, Excel, Tableau, or Power BI; familiarity with programming languages like Python, C#, or Java is a plus

• Data Governance Knowledge: Strong understanding of data governance frameworks, data lineage, and data quality management principles

• Analytical Skills: Highly analytical with the ability to interpret large datasets, automate processes, and execute project plans effectively

• Communication: Strong written and verbal communication skills, with the ability to collaborate with team members and present findings to stakeholders

• Adaptability and Organization: Self-starter with excellent organizational skills, capable of multitasking and prioritizing in a fast-paced, high-pressure environment