Senior Business Data Analyst

Job Title: Sr. Business Analyst / Data Analyst (Data Governance) Location: Iselin, NJ (Hybrid 3 days in a week) Only W2 & Visa Independent Candidates with 10+ Yrs of experience Need local resumes with candidates open for Client In-Person interview. Domain: Strong Data Governance & Investment Banking experience is MUST. 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. 1. 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. 1. 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. 1. 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. 1. 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. 1. 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. 1. 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.