Data Governance- Bigid/Onetrust/Collibra

Senior Consultant – BigID / Data Remediation & Analytics

Experience: 7–10 Years

Role Level: Senior Consultant

Domain: Data Management / Data Privacy / Data Remediation

Key Skills: BigID, DBMS, SQL, Advanced Excel, Data Analytics

Role Overview

We are looking for an experienced Senior Consultant to support a BigID-driven data discovery, analysis, and remediation program. The candidate will work with business, data, technology, privacy, and remediation teams to identify sensitive and critical data across enterprise systems, analyze data-quality and privacy-related findings, and drive issues through remediation and closure.

The ideal candidate should have strong hands-on knowledge of BigID, relational databases/DBMS, SQL, Advanced Excel, and data analytics, along with the ability to analyze large datasets, identify anomalies and trends, perform reconciliations, and translate findings into actionable remediation activities.

Key Responsibilities

BigID & Data Discovery

• Work with BigID to support data discovery, classification, inventory, and analysis across structured and unstructured data sources.
• Review BigID scan results and analyze identified sensitive, personal, confidential, and critical data.
• Support onboarding and validation of data sources within BigID.
• Analyze BigID findings to identify data requiring further investigation or remediation.
• Work with application owners and data owners to validate findings and resolve exceptions.
• Track identified issues through remediation, validation, and closure.
• Support preparation of evidence and reporting for governance, risk, privacy, and audit requirements.

Database & SQL Analysis

• Demonstrate strong understanding of DBMS concepts, relational databases, tables, keys, relationships, and data structures.
• Write SQL queries to extract, analyze, reconcile, and validate data.
• Perform data profiling and identify missing, duplicate, inconsistent, invalid, or anomalous records.
• Perform source-to-target and cross-system data reconciliation.
• Use joins, aggregations, subqueries, CTEs, CASE statements, and other SQL techniques for data investigation.
• Validate data before and after remediation to confirm successful closure of identified issues.

Data Remediation

• Analyze data issues identified through BigID scans, business controls, or data-quality assessments.
• Perform root-cause analysis and help determine appropriate remediation actions.
• Define impacted populations and remediation rules in collaboration with business and technology stakeholders.
• Perform pre- and post-remediation validation and reconciliation.
• Maintain appropriate documentation, evidence, exception logs, and audit trails.
• Track remediation actions, dependencies, risks, and outstanding issues to closure.

Excel & Data Analytics

• Use Advanced Excel for large-scale data analysis, reconciliation, validation, and reporting.
• Strong working knowledge of Pivot Tables, XLOOKUP/VLOOKUP, INDEX-MATCH, conditional formatting, logical functions, data cleansing, and reconciliation techniques.
• Analyze large datasets to identify trends, patterns, exceptions, and data-quality issues.
• Create management information (MI), dashboards, and remediation progress reports.
• Translate complex datasets into clear insights for business and senior stakeholders.

Stakeholder & Project Management

• Collaborate with data owners, application owners, technology teams, privacy teams, risk teams, and business stakeholders.
• Facilitate discussions to understand data issues and agree on remediation actions.
• Track actions, risks, issues, dependencies, and milestones.
• Provide regular progress updates and management reporting.
• Support junior team members and provide guidance on data analysis and remediation activities.
• Ensure deliverables are completed with appropriate quality controls and within agreed timelines.

Required Skills & Experience

• 7–10 years of overall experience in data management, data analytics, data remediation, data privacy, data governance, or related areas.
• Hands-on experience or strong working knowledge of BigID.
• Strong understanding of DBMS and relational database concepts.
• Strong hands-on SQL skills for querying, reconciliation, profiling, and data-quality analysis.
• Strong proficiency in Advanced Excel.
• Strong data analytics and problem-solving capabilities.
• Experience working with large and complex datasets.
• Experience in identifying and investigating data-quality issues and performing root-cause analysis.
• Understanding of data discovery, data classification, data lineage, sensitive data, and data remediation concepts.
• Ability to translate technical findings into clear business language.
• Strong stakeholder management and communication skills.
• Ability to independently manage assigned workstreams and drive issues through to closure.

Preferred Skills

• Experience working on BigID implementation, data discovery, privacy, or remediation programs.
• Experience within Banking, Financial Services and Insurance (BFSI) or other highly regulated industries.
• Understanding of data privacy and protection principles and regulatory requirements.
• Knowledge of data governance, metadata management, data lineage, and data-quality frameworks.
• Experience creating dashboards and management reporting using Excel, Power BI, or similar analytics tools.
• Exposure to Agile/project delivery environments would be beneficial.

Key Competencies

• Strong analytical and problem-solving skills
• Attention to detail and data accuracy
• Structured approach to investigation and remediation
• Stakeholder management
• Strong written and verbal communication
• Ability to work independently and within cross-functional teams
• Ownership and accountability for deliverables
• Ability to manage multiple priorities and deadlines

Expected Outcome of the Role

The Senior Consultant will play a key role in converting BigID data-discovery findings into actionable insights and remediation activities, ensuring that identified data issues are accurately analyzed, appropriately remediated, validated, documented, and reported to relevant stakeholders.