Compliance-Dallas-Vice President-Senior AML Technology Analyst

Goldman Sachs

About The Position

Are you passionate about developing mission-critical, high quality software solutions, using cutting-edge technology, in a dynamic environment? We are looking for talented and enthusiastic senior professionals to join our engineering team and lead the architecture of a broad set of user-facing and data processing Financial Crimes Compliance (FCC) platforms. Our Impact The Goldman Sachs Compliance Division prevents, detects and mitigates regulatory and reputational risk across the firm, and helps to strengthen the firm's culture of compliance. As an independent control function and part of the firm's second line of defense, Compliance: Assesses the firm's compliance, regulatory and reputational risk Monitors for compliance with new or amended laws, rules and regulations Designs and implements controls, policies, procedures and training Conducts independent testing Investigates, surveils and monitors for compliance risks and breaches Leads the firm's response to regulatory examinations, audits and inquiries Compliance Engineering empowers these activities by building and operating a suite of software platforms and applications. We are a team of more than 300 engineers and scientists who work on the most complex, mission-critical problems. We have access to the latest technology and to massive amounts of structured and unstructured data. We leverage modern frameworks to build responsive and intuitive UX/UI and Big Data applications, incorporating cutting-edge AI and efficient processes to drive them. Compliance Engineering user base spans thousands of users globally. We partner with Compliance Officers across divisions, to fully understand the financial products, business strategies, and regulatory regimes. This knowledge enables us to build long-lasting software solutions, and to innovate with a purpose. Compliance Engineering is looking to fill a Senior AML Technology Analyst role at the VP level. The Financial Crimes Compliance (FCC) Engineering, under Global Compliance, is responsible for Architecture, Design, Development and Implementation of best-in-class software solutions to ensure compliance with regulatory mandates and mitigate any reputational and related risks to the firm. A key component of second line of defense for the firm, FCC Engineering builds and maintains technology solutions for Know Your Customer (KYC), Anti-Money Laundering Detection (AML Monitoring), Sanctions Screening, Anti-Bribery and Corruptions and all other related FCC areas. With constantly changing regulatory and technology landscape, FCC engineering strives to stay ahead of the curve through continuous innovation. As the Senior AML Technology Analyst for FCC Engineering, you will drive the innovation forward and will be responsible for, among other related functions, the following: Data Stewardship & Catalog Management: Own, manage, and enrich the enterprise FCC Data Catalog, serving as the definitive inventory for all AML compliance-related data assets. Perform data discovery, profiling, and classification on source systems to identify data relevant to FCC functions. Document and maintain business glossaries, technical metadata, and end-to-end data lineage for all FCC data. Data Architecture & Mapping: Develop and maintain detailed source-to-target mapping documents that define the flow of data from source systems into the FCC data warehouse. Define and document all business rules, transformations, and enrichment logic required to conform data to the Canonical Data Model (CDM). Collaborate with source system owners and data engineers to ensure mapping logic is accurately understood and implemented. Critical Data Element (CDE) & Data Quality Framework: Lead workshops with AML compliance, risk, and operations stakeholders to formally identify and designate Critical Data Elements (CDEs) across KYC, Sanctions, and Transaction Monitoring. Define specific, measurable data quality rules (e.g., completeness, validity, accuracy, timeliness) for CDEs and other key data. Establish data quality thresholds, monitoring dashboards, and control frameworks to ensure the integrity of the FCC data ecosystem. Engineering Collaboration & Implementation: Act as the primary data subject matter expert and a critical member of the FCC engineering team throughout the agile development lifecycle. Champion the implementation of the "Single Source of Truth" data warehouse, ensuring adherence to the FCC Canonical Data Model. Design, lead, and execute data-centric testing and validation strategies to certify that the data warehouse is accurate, complete, and fit for regulatory and business purposes.

Requirements

Bachelor’s or master’s degree in computer science, Information Systems, Data Analytics, Finance, or a related quantitative field.
A minimum of 15+ years of experience in a data-centric role such as Data Analyst, Business Systems Analyst, Data Architect, or Data Steward.
Demonstrable experience within the financial services industry is mandatory.
Direct experience in a Financial Crimes Compliance (FCC) domain, with exposure to AML, KYC/CDD, Sanctions Screening, or Transaction Monitoring data and processes.
Proven track record of creating detailed business requirements, source-to-target mapping documents, and data models.
Experience working in an agile environment, collaborating closely with engineering, product, and business teams.
Expert-level proficiency in SQL for complex data analysis, validation, and querying.
Strong experience with data modeling principles and techniques (logical, physical, dimensional).
Hands-on experience with enterprise data cataloging and governance practices and tools.
Deep understanding of ETL/ELT processes and data pipeline architecture.
Familiarity with modern cloud data warehouse and Lakehouse platforms (e.g., Snowflake, Databricks, Redshift).
Proficiency in data quality frameworks and defining DQ rules and controls.
In-depth understanding of the FCC data lifecycle and the data elements critical to compliance processes.
Familiarity with financial industry data standards and sources (e.g., SWIFT messages, ISO 20022, LSEG World-Check).
Strong grasp of Canonical Data Model (CDM) concepts and their practical application in building a "Single Source of Truth."
Exceptional analytical, conceptual, and problem-solving skills with meticulous attention to detail.
Excellent communication and interpersonal skills, with the ability to translate complex technical concepts for non-technical stakeholders.
Proven ability to lead and facilitate workshops, manage competing priorities, and drive consensus among diverse groups.

Responsibilities

Own, manage, and enrich the enterprise FCC Data Catalog, serving as the definitive inventory for all AML compliance-related data assets.
Perform data discovery, profiling, and classification on source systems to identify data relevant to FCC functions.
Document and maintain business glossaries, technical metadata, and end-to-end data lineage for all FCC data.
Develop and maintain detailed source-to-target mapping documents that define the flow of data from source systems into the FCC data warehouse.
Define and document all business rules, transformations, and enrichment logic required to conform data to the Canonical Data Model (CDM).
Collaborate with source system owners and data engineers to ensure mapping logic is accurately understood and implemented.
Lead workshops with AML compliance, risk, and operations stakeholders to formally identify and designate Critical Data Elements (CDEs) across KYC, Sanctions, and Transaction Monitoring.
Define specific, measurable data quality rules (e.g., completeness, validity, accuracy, timeliness) for CDEs and other key data.
Establish data quality thresholds, monitoring dashboards, and control frameworks to ensure the integrity of the FCC data ecosystem.
Act as the primary data subject matter expert and a critical member of the FCC engineering team throughout the agile development lifecycle.
Champion the implementation of the "Single Source of Truth" data warehouse, ensuring adherence to the FCC Canonical Data Model.
Design, lead, and execute data-centric testing and validation strategies to certify that the data warehouse is accurate, complete, and fit for regulatory and business purposes.