Business Analyst Data Analyst (Data Governance)

Role Business Analyst / Data Analyst (Data Governance)

Location Iselin NJ

Type Contract

Overview:

We are seeking a highly experienced Lead Business Analyst to champion risk governance and data management initiatives within our organization. The ideal candidate will possess deep expertise in data lineage risk assessment data quality and governance frameworks with a proven ability to lead complex programs across cross-functional teams in the BFSI sector.

Key Responsibilities :

Strategic Leadership-

Own the end-to-end delivery of key phases: Data Lineage Risk and Control Assessment Data Quality Testing and Attestation.

Shape and refine implementation strategies for high-risk data packages setting execution priorities.

Serve as the SME and escalation point for data risk governance processes and remediation planning.

Program Oversight -

1. Data Lineage -

• Oversee the execution of data lineage mapping exercises across business units.

• Ensure completeness of lineage documentation incorporating data transformations and manual interventions.

• Govern lineage quality metrics gap identification and remediation prioritization.

2. Risk and Control Assessment -

• Lead walkthroughs with business and control owners to assess ingestion-to-consumption risk.

• Review and validate control effectiveness across manual automated preventive and detective controls.

• Guide the use of internal risk templates and align findings with enterprise risk taxonomy.

3. Data Quality & Profiling -

• Direct the design and execution of data profiling and anomaly detection working with vendor tools (e.g. Anomalo).

• Guide business rule validation and help define or enhance enterprise DQ rules.

• Lead quality assurance documentation and remediation recommendations.

4. Issue Management and Remediation -

• Monitor the issue lifecycle including severity tagging impact assessment and ownership tracking.

• Oversee governance reporting for remediation plans; ensure timely execution across teams.

• Maintain transparency with leadership on backlog status risk exposure and closure KPIs.

5. Testing & Validation -

• Supervise UAT cycles validating data quality rules lineage completeness and control coverage.

• Collaborate with data engineers and business testers to design and approve test plans.

• Validate control effectiveness across automated and manual pipelines.

6. Use Case Onboarding -

• Create and maintain templates for use case documentation (risk control lineage).

• Ensure each use case includes proper controls lineage risk documentation and compliance guardrails.

• Standardize onboarding checklists and compliance approval workflows.

7. Operational Attestation Transition -

• Define and institutionalize the transition framework from project delivery to operational teams.

• Drive adoption of attestation templates training materials and feedback mechanisms.

• Ensure control ownership and documentation continuity post-transition.

Required Skills and Qualifications

Experience :

• 10 years of experience in Business Analysis Risk Governance or Enterprise Data Management.

• At least 3 years in a lead or senior BA role overseeing cross-functional risk/data initiatives in BFSI.

• Proven experience managing stakeholders across business technology audit and compliance.

Technical & Domain Knowledge :

• Solid knowledge of risk frameworks (e.g. COSO COBIT BCBS 239).

• Deep understanding of data lineage data quality measurement metadata management.

• Familiarity with profiling/anomaly tools (Anomalo Great Expectations) data cataloging (Collibra Alation).

• Ability to read and interpret data flows lineage diagrams profiling logs.

Soft Skills :

• Strong stakeholder engagement facilitation and negotiation skills.

• Detail-oriented with ability to synthesize complex topics for senior leadership.

• Capable of mentoring junior analysts and driving team collaboration.

• Partner with Heads of Risk Business Data Stewards Data Engineering Compliance and Internal Audit.

• Represent risk/data programs in governance forums and regulatory working groups.

• Liaise with vendor partners supporting profiling lineage or remediation.