Data Quality Analyst

C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making. C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms. Global offices United States| Canada | United Kingdom| United Arab of Emirates| India Brief Job Description The Data Quality Manager will support clients’ Data Governance & Management Program (DGMP) by designing, building, and maintaining Informatica-based data governance and data quality capabilities. The role focuses on CDGC cataloging, data scanning/profiling, CDI mappings, DQ rule development, and exception reporting, enabling reliable regulatory and KYC/AML customer data outcomes. The role will also contribute to optimizing client’s DQ framework by leveraging integrated AI capabilities (e.g., Informatica CLAIRE AI) and emerging agentic AI approaches. Key Responsibilities Informatica Data Governance & Catalog (CDGC) • Maintain and enhance business and technical metadata in CDGC for KYC/AML customer attributes (Retail and Corporate). • Define and update business definitions, data ownership, stewardship, criticality, reference list alignment, and lineage-ready metadata. • Ensure catalogue entries are complete, consistent, and aligned to DGMP objectives and downstream DQ requirements. Data Scanning, Profiling & Metadata Command Center • Perform data scanning and profiling to understand completeness, validity, uniqueness, consistency, and conformity patterns. • Use Metadata Command Center (MCC) to support metadata discovery, monitoring, and governance visibility. • Translate profiling results into actionable insights for DQ rules, remediation priorities, and stakeholder decisions. Informatica CDI Development & Integration • Design and develop CDI mappings to extract, transform, validate, and load rule execution results into target stores (e.g., Snowflake exception log tables). • Implement best practices for mapping design, parameterization, reusability, performance, and deployment. • Support integration patterns between source systems and curated layers, aligned to DGMP architecture. Data Quality Rule Development (CDQ) • Build and maintain data quality rules based on catalogued definitions and agreed business intent. • Ensure rules are backed by profiling evidence and avoid unnecessary scope creep that creates false exceptions. • Implement rule dependencies, exception outputs, and dashboards enablement (exception logging, scoring, trends). Framework Optimization & AI Enablement • Continuously improve client’s DQ framework: rule standards, reusable patterns, triage workflows, exception categorization, and monitoring. • Leverage Informatica CLAIRE AI efficiently to accelerate cataloging, profiling insights, and rule development where applicable. • Contribute ideas for integrating controlled agentic AI use cases (e.g., rule suggestion, exception triage assistance, catalog enrichment) with strong governance guardrails. Stakeholder & Delivery Management • Communicate technical complexity clearly (steps, dependencies, risks, and options) to both technical and business stakeholders. • Provide realistic effort estimates and delivery plans with transparent breakdown (design/config/dev/test/deploy). • Support onsite/client engagement with strong stakeholder management and collaboration. Business Understanding & Data Insights Support • Understand and interpret requirements and needs provided by Compliance, Operations, and Business stakeholders (e.g., KYC/AML, onboarding controls, regulatory reporting impacts). • Translate those needs into practical DG/DQ actions such as: • catalogue refinements (definitions, reference list alignment, stewardship/ownership), • profiling evidence and issue interpretation, • DQ rule intent and rule coverage decisions, • exception prioritization and remediation insights. • Generate insights from large datasets (SQL/Snowflake) to support root-cause analysis, decision-making, and governance reporting. • Support delivery reporting and continuity when needed (status summaries, action logs, risks/blocks, and clear next steps). Required Skills & Experience Must-have • Strong hands-on experience with Informatica: • CDI (mappings, parameterization, deployments, using reusable DQ rules with CDI) • CDGC (cataloging, business/technical metadata management) • CDQ (DQ rule development, exception outputs) • Data scanning and profiling • Metadata Command Center (MCC) • Solid understanding of data quality dimensions and operationalization (profiling → rules → exceptions → remediation loop). • Strong SQL skills and ability to analyze data in relational environments. • Familiarity with Snowflake (tables/views, querying, exception logging or curated layers). • Understanding of database concepts (tables, columns, keys, reference data, relationships, best practices). • Strong communication and documentation skills with ability to explain “how/why” clearly. • Ability to work in an onsite/client environment with professional stakeholder engagement. • Timeliness and reliability in delivering assigned work • Critical thinking applied to data, rules, and issue analysis • Strong problem‑solving abilities with minimal supervision • Creativity in approaching complex data‑quality and governance challenges • Data visualization skills to clearly communicate insights and trends Nice-to-have / Preferred • Experience in banking, especially KYC/AML or regulatory-driven customer data contexts. • Informatica certifications (CDGC/CDQ/CDI) are a strong plus. • Experience in building/operating DQ dashboards and exception reporting (e.g., Power BI enablement). • Familiarity with data governance operating models (ownership, stewardship, critical data elements, reference data governance). • Exposure to AI-enabled data management (Informatica CLAIRE AI, metadata augmentation, intelligent profiling, or agentic AI concepts). CDQ Key Competencies (What success looks like) • Produces high-quality DQ rules grounded in profiling evidence and business intent. • Provides realistic, transparent delivery plans and communicates com

Strong hands-on experience with Informatica: CDI (mappings, parameterization, deployments, using reusable DQ rules with CDI), CDGC (cataloging, business/technical metadata management), CDQ (DQ rule development, exception outputs), Data scanning and profiling, Metadata Command Center (MCC); solid understanding of data quality dimensions and operationalization (profiling → rules → exceptions → remediation loop); Strong SQL skills and ability to analyze data in relational environments; Familiarity with Snowflake (tables/views, querying, exception logging or curated layers); Understanding of database concepts (tables, columns, keys, reference data, relationships, best practices); Strong communication and documentation skills; Ability to work in onsite/client environments; Timeliness and reliability; Critical thinking; Problem-solving; Creativity; Data visualization skills.

Informatica Data Governance & Catalog (CDGC): maintain and enhance metadata in CDGC for KYC/AML attributes; define/update business definitions, data ownership, stewardship, criticality, reference list alignment, and lineage-ready metadata; ensure catalogue entries are complete and aligned to DGMP objectives. Data Scanning, Profiling & Metadata Command Center: perform data scanning/profiling to understand completeness, validity, uniqueness, consistency, and conformity; use MCC for metadata discovery, monitoring, governance visibility; translate profiling results into actionable insights for DQ rules and remediation priorities. Informatica CDI Development & Integration: design/develop CDI mappings to extract/transform/validate/load rule execution results; implement best practices for mapping design and deployment; support integration patterns aligned to DGMP architecture. Data Quality Rule Development (CDQ): build/maintain data quality rules; ensure rules are backed by profiling evidence; implement dependencies, exception outputs, dashboards. Framework Optimization & AI Enablement: improve DQ framework; leverage Informatica CLAIRE AI; explore agentic AI use cases with governance guardrails. Stakeholder & Delivery Management: communicate technical complexity to stakeholders; provide effort estimates and delivery plans; support onsite engagements. Business Understanding & Data Insights Support: interpret requirements from Compliance/Operations/Business; translate into DG/DQ actions; generate insights from SQL/Snowflake; support delivery reporting and continuity.