Data Governance & Feed Monitoring Lead - AML

Job description

**Job Title:** Data Governance & Feed Monitoring Lead **Department** : CEFS IT – Anti Money Laundering (AML) **About Business Line/Function** The AML IT function sits within the BNP Paribas Corporate & Institutional Banking (CIB) CEFS‑technology ecosystem and provides end‑to‑end technology platform that enables the bank’s anti‑money‑laundering (AML) program. Its core purpose is to translate regulatory and compliance requirements into robust, scalable, and secure IT solutions that detect, investigate, and report suspicious activity across the Group’s global operations. The AML IT business line is the technology backbone that transforms raw transaction data into actionable AML intelligence, ensuring that BNP Paribas CIB meets its regulatory obligations while maintaining operational resilience and innovation. **Position Purpose** The AML Data Governance & Feed Monitoring Lead would be responsible for establishing and operating a best‑in‑class data‑governance framework and end‑to‑end monitoring ecosystem that underpins the bank’s AML detection, reporting, and regulatory compliance programs. You will design data lineage, build data‑quality control dashboards, develop automated monitoring tools for transaction‑feed ingestion, and coordinate incident remediation across AML, risk, technology, and business teams. The role is central to ensuring that AML data assets are trustworthy, compliant, and delivered with high availability, thereby enabling rapid identification of illicit activity and meeting stringent regulator expectations. While direct AML experience is not mandatory, strong Data Governance expertise and the ability to quickly master AML concepts are essential. The role will operate within a globally distributed environment. **Responsibilities** Direct Responsibilities - Define, document, and maintain data lineage for critical AML data sets – customer‑profile data, transaction streams, watch‑list feeds, SAR (Suspicious Activity Report) files, sanction‑screening results, etc. - Design and enforce data‑quality frameworks (completeness, accuracy, timeliness, consistency) aligned with AML regulatory requirements (FINTRAC, FinCEN, EU AML‑D, FCA, etc.). - Build and own AML‑specific data‑quality dashboards that surface KPI trends (e.g., % of missing KYC fields, stale watch‑list updates, latency of transaction feeds). - Maintain a data‑governance catalogue (metadata, ownership, classification) and ensure compliance with privacy regulations (GDPR, CCPA, local data‑protection laws). - Own the monitoring strategy for all AML‑related data feeds: inbound transaction streams (SWIFT, ACH, credit‑card, wire), external watch‑list updates, internal KYC/EDD feeds, and SAR submissions. - Define Service Level Agreements (SLAs) / Service Level Objectives (SLOs) for feed availability, latency, and integrity. - Implement alerting matrices for feed‑breaks, schema changes, data‑quality deviations, and regulatory filing deadlines. - Architect, develop, and maintain a central monitoring platform (Grafana, Power BI, Tableau, or custom web portal) that provides real‑time health visibility of AML pipelines. - Automate data‑quality checks, anomaly detection, and rule‑based validations using Python, SQL, or data‑ops frameworks (Airflow, Prefect, dbt). - Integrate monitoring tools with the firm’s ticketing system (ServiceNow, Jira Service Management) and SIEM/observability stack (Splunk, ELK, Prometheus). - Act as the single point of contact for AML feed incidents – triage, root‑cause analysis, communication with stakeholders, and escalation to technology teams. - Maintain an incident knowledge base and produce post‑mortem reports with actionable recommendations that feed back into governance and monitoring enhancements. - Keep abreast of AML regulatory changes, emerging illicit‑finance typologies, and industry best practices (e.g., ACAMS, WWI, FATF recommendations). - Drive automation of manual data‑quality tasks to free up AML analysts for higher‑value investigative work. **Technical & Behavioral Competencies** - Advanced SQL (Snowflake, BigQuery, Oracle, PostgreSQL). - Proficiency with data‑lineage/catalog tools (Collibra, Alation, MANTA, Apache Atlas) and AML platforms (Actimize, FICO TONBELLER, SAS AML, Nice Actimize, Axiom). - Strong scripting/automation abilities (Python, Bash/PowerShell, dbt, Airflow/Prefect). - Dashboarding expertise (Power BI, Tableau, Looker, Grafana). - Experience with monitoring/observability stacks (Grafana, Prometheus, Splunk, ELK). - Deep familiarity with data‑governance frameworks (DAMA‑DMBOK, DCAM) and AML data‑quality dimensions (customer‑profile completeness, transaction‑feed timeliness, watch‑list freshness). - Exposure to cloud data platforms (AWS, Azure, GCP) and modern data‑lake/warehouse architectures. - Knowledge of privacy and data‑protection regulations (GDPR, CCPA, Data‑Localization rules). - Prior success building self‑service data‑quality portals for AML analysts and investigators. **Nice To Have Skills** - Certified Data Management Professional (CDMP). - Understanding of AML regulatory reporting requirements (SAR filing, CTA/CTF, KYC/CDD, sanctions screening). ITIL Foundation or equivalent. **Specific Qualifications** 12+ years of work experience **Education Level:** Bachelors degree or equivalent **Location:** Bengaluru **About BNP Paribas Group** BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group’s commercial & personal banking and several specialized businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on co