Job Description

Job Title: Data Governance Lead – Data Architecture & Governance

Location: New York, NY (Hybrid)

Employment Type: Full-Time

Base Salary: $220K to $250K (based on experience) + Bonus

Benefits: The position is eligible for medical, dental, vision

About the Role:

We are seeking an Experienced Data Governance Lead to join a dynamic data and analytics team in New York. This role will design and oversee the organization’s data governance framework, stewardship model, and data quality approach across financial services business lines, ensuring trusted and well-defined data for reporting and analytics across Databricks lakehouse, CRM, management reporting, data science teams, and GenAI initiatives.

Primary Responsibilities:

• Design, implement, and refine enterprise-wide data governance framework, including policies, standards, and roles for data ownership and stewardship.
• Lead the design of data quality monitoring, dashboards, reporting, and exception-handling processes, coordinating remediation with stewards and technology teams.
• Drive communication and change management for governance policies and standards, making them practical and understandable for business stakeholders.
• Define governance processes for critical data domains (e.g., companies, contacts, funds, deals, clients, sponsors) to ensure consistency, compliance, and business value.
• Identify and onboard business data owners and stewards across business teams.
• Partner with Data Solution Architects and business stakeholders to align definitions, semantics, and survivorship rules, including support for DealCloud implementations.
• Define and prioritize data quality rules and metrics for key data domains.
• Develop training and onboarding materials for stewards and users to reinforce governance practices and improve reporting, risk management, and analytics outcomes.

Qualifications:

• 6–8 years in data governance, data management, or related roles, preferably within financial services.
• Strong understanding of data governance concepts, including stewardship models, data quality management, and issue-resolution processes.
• Familiarity with CRM or deal management platforms (e.g., DealCloud, Salesforce) and modern data platforms (e.g., Databricks or similar).
• Proficiency in SQL for data investigation, ad hoc analysis, and validation of data quality rules.
• Comfortable working with Databricks, Jupyter notebooks, Excel, and BI tools.
• Python skills for automation, data wrangling, profiling, and validation are strongly preferred.
• Exposure to investment banking, equities, or private markets data is a plus.
• Excellent written and verbal communication skills with the ability to lead cross-functional discussions and influence senior stakeholders.
• Highly organized, proactive, and able to balance strategic governance framework design with hands-on execution.

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