Lead Business Analyst – Risk Governance & Data Management - 26-04659

NavitasPartners•New York, NY

1d•Onsite

About The Position

We are seeking a highly experienced Lead Business Analyst to drive enterprise risk governance and data management initiatives. This role requires deep expertise in data lineage, risk assessment, data quality, and governance frameworks, with strong leadership experience in managing cross-functional programs within the BFSI domain. The ideal candidate will act as a subject matter expert (SME) and escalation point for data risk and governance processes, ensuring alignment with enterprise standards and regulatory expectations.

Requirements

10+ years of experience in Business Analysis, Risk Governance, or Enterprise Data Management
Minimum 3+ years in a lead or senior BA role within BFSI environments
Proven experience managing cross-functional stakeholders across business, technology, compliance, and audit teams
Strong understanding of risk frameworks (e.g., COSO, COBIT, regulatory standards)
Deep knowledge of data lineage, metadata management, and data quality concepts
Experience with data profiling and anomaly detection tools (e.g., Anomalo, Great Expectations)
Familiarity with data cataloging tools (e.g., Collibra, Alation)
Ability to interpret data flows, lineage diagrams, and profiling outputs

Responsibilities

Own end-to-end delivery of key program phases including Data Lineage, Risk & Control Assessment, Data Quality, Testing, and Attestation
Define and refine implementation strategies for high-risk data initiatives
Serve as SME and escalation point for data governance, risk management, and remediation planning
Lead data lineage mapping across business units
Ensure complete documentation of data flows, including transformations and manual processes
Oversee lineage quality metrics, gap analysis, and remediation tracking
Conduct risk assessments across ingestion-to-consumption data flows
Validate effectiveness of manual, automated, preventive, and detective controls
Align findings with enterprise risk frameworks and governance standards
Oversee data profiling and anomaly detection activities using enterprise tools
Define and enhance enterprise data quality rules in collaboration with stakeholders
Ensure documentation of data quality findings and remediation recommendations
Track issue lifecycle including severity classification, impact assessment, and ownership
Monitor remediation progress and governance reporting
Provide leadership updates on risk exposure and closure metrics
Supervise UAT cycles for data quality, lineage, and control validation
Collaborate with engineering and business teams to design test plans
Validate effectiveness of controls across data pipelines
Develop standardized templates for use case documentation
Ensure inclusion of lineage, risk, control, and compliance requirements
Maintain onboarding and compliance approval workflows
Define transition framework from project delivery to operational ownership
Establish attestation processes, templates, and training materials
Ensure continuity of controls and governance post-implementation