Brown Brothers Harriman

Data Scientist

• Establishing and implementing the strategic direction of BBH’s data protection and governance program
• Overseeing enterprise-wide efforts to protect data from leaving BBH in an unintended manner (the Data Loss Prevention Program)
• Destroying data no longer required to be retained by law or for business purpose (the Data Destruction Program)
• Enhancing classification of data to further the efficacy of the Firm’s data loss prevention controls and destruction efforts (the Data Classification and Discovery Program)
• Establishing minimum firmwide standards for data integrity and availability and define key data management-related roles and responsibilities (the Data Governance Program)
• Reporting regularly on key metrics, risks and program maturity to oversight committees
• Building and leading a high-performing team of professionals
• Leading the coordination of, and responses to, internal audit reviews
• Partnering with key stakeholders across the Protect Pillar, Systems, the business, Risk, OGC and Compliance to implement the Firm’s data protection and governance objectives.

Head of Enterprise Data Protection – Governance

Product Operations

• Partner with the Head of Product Transformation to advance product management practices, client-centric decision-making, and product excellence.
• Own and evolve the end-to-end operating model, connecting discovery, design, research, prototyping, delivery, and portfolio management into a unified system.
• Translate the transformation strategy into the rituals, standards, and governance that drive accountability across the Product ecosystem.
• Establish shared standards, taxonomy, templates, and definitions of success that allow product teams to operate consistently and effectively.
• Define and lead cross-functional planning cadences, decision forums, and governance structures clarifying decision rights, escalation paths to accelerate execution across the broader product organization.
• Drive adoption of new ways of working across product teams and partner functions through structured change management, targeted enablement, and stakeholder engagement.
• Build and sustain communities of practice and knowledge-sharing forums that reinforce learning and drive consistency.
• Define and track KPIs that measure the effectiveness of the operating model and overall discipline health.

Product Operations Lead

Business Analyst

• Gather, document, and analyze business requirements from users, sponsors, and project stakeholders.
• Support project planning, scoping, design, development, testing, implementation, and post-launch activities.
• Evaluate workflows and systems to identify opportunities to improve efficiency, reduce risk, and enhance the client experience.
• Coordinate meetings, prepare materials, maintain project documentation, and track project tasks and deliverables.
• Participate in user acceptance testing, regression testing, defect resolution, and pilot or parallel testing as needed.
• Analyze data, identify trends or exceptions, and present findings clearly to varied audiences.
• Partner with business teams, Technology, Processing, vendors, and internal clients to resolve issues and support successful product or project rollouts.
• Escalate risks, issues, and project status changes, and recommend practical solutions.

Change Management Project Analyst

General

• Lead, mentor, and manage a team of IAM/PAM developers, system analysts, and system administrators
• Drive delivery practices and ensure alignment with enterprise technology standards
• Foster a culture of accountability, innovation, and continuous improvement
• Partner with business, security, and infrastructure teams to align IAM strategy with organizational goals
• Design and implement scalable IAM and PAM solutions leveraging platforms such as SailPoint IdentityIQ
• Architect identity lifecycle processes including Joiner, Mover, and Leaver workflows
• Architect and design automation for Privilege Access Management across the firm
• Develop solutions to handle Role-Based Access Control (RBAC) and policy-driven access governance
• Lead integration of IAM solutions with enterprise systems (e.g., Active Directory, ServiceNow, HR systems)
• Develop IAM technology roadmaps aligning with business goals
• Lead large-scale IAM transformation programs, including governance, provisioning, and certification initiatives
• Oversee end-to-end delivery including technical requirements gathering, design, development, testing, and production deployment
• Manage project scope, timelines, and technical deliverables across multiple concurrent initiatives
• Ensure compliance with regulatory, audit, and security requirements through IAM controls
• Oversee IAM platform operations, including monitoring, issue resolution, and performance optimization
• Drive continuous improvement through process reengineering and automation

Identity & Access Management (IAM) Technology Lead

Incident Response Analyst

• Serving as the point of contact for cyber systems events to manage communications and coordination
• For cyber breaches by vendors, working closely with the Cyber team, gathering details on the cyber breach, applying lessons learned and documenting events
• For client cyber breaches, collaborating with the Cyber team, Anti-Fraud, and other stakeholders in coordinating responses and documentation
• Coordinating the cyber incident response process from initial detection to resolution, ensuring timely action and communication
• Enhancing incident response documentation and procedures
• Point of escalation for the cyber incident management team and fostering collaboration
• Participating in cyber-related tabletop exercises and conducting social engineering exercises

Cyber Incident Response Manager

QA Engineer

• Test Automation Design, build, and maintain the test automation framework from scratch - Python-based, covering API, integration, and end-to-end tests.
• Establish patterns and conventions the engineering team builds on as the codebase grows.
• Maintain test suites that are fast, reliable, and genuinely useful - flaky tests are a bug.
• Data Validation Own test coverage for data transformation logic - verify correctness of outputs, edge case handling, schema validation, and data integrity across pipeline stages.
• Design test strategies for data integration scenarios - source-to-destination data flows, transformation previews vs. execution results, and reconciliation checks.
• Build test data management practices: repeatable fixtures, realistic financial data scenarios, and edge case libraries.
• API & Workflow Testing Build and maintain comprehensive API test suites for REST and GraphQL endpoints.
• Design test strategies for Temporal-orchestrated workflows - long-running processes, retry logic, fault tolerance, timeout handling, and idempotency verification.
• Collaborate with backend engineers on testability requirements in new feature design.
• CI/CD Integration Ensure all automated tests run in the CI/CD pipeline; work with the Cloud Engineer to integrate quality gates into deployment workflows.
• Define test coverage thresholds and quality gates that block bad deployments without blocking good ones.
• Defect Management & Quality Culture Conduct Blackbox Testing, Fault injection, Performance testing etc.
• Identify, document, and track defects with clear reproduction steps and business impact.
• Work closely with engineers on root cause analysis and regression prevention.
• Advocate for testability in design reviews and code reviews.
• Help engineers write better unit tests; review test quality alongside code quality.

Innovation QA Engineer

AI Engineer

• Execute the AI strategy - LLM selection and management, agentic application architecture, RAG system design, prompt engineering standards, and evaluation frameworks
• Help design and implement the core AI capabilities: transformation generation from natural language, integration configuration assistance, data quality detection, and intelligent validation
• Determine where AI adds genuine value vs. where deterministic logic is more appropriate
• Set technical standards and foster a culture of experimentation grounded in production discipline
• Partner with the Head of Engineering and Head of Design on cross-functional AI feature development
• Remain deeply technical - architect and implement core AI features
• Build and evolve the transformation generation engine, integration suggestion system, and intelligent validation layer
• Design the AI pipeline architecture that operates reliably inside Agno-orchestrated workflows
• Establish evaluation, monitoring, and continuous improvement practices for production AI systems
• Build frameworks to measure AI output quality - accuracy, consistency, and user acceptance rates
• Implement production monitoring and model drift detection
• Define responsible AI practices appropriate for financial services - accuracy thresholds, auditability requirements, and appropriate human-in-the-loop controls
• Ensure AI outputs are explainable to both technical and non-technical users

Senior AI Engineer

Business Intelligence Analyst

• Build relationships with stakeholders across the firm
• Collect, consolidate, and rank priorities for performance & client reporting
• Create insightful new reporting in Addepar
• Iterate with stakeholders on prototypes and successive versions of client reporting content
• Partner with change management team to create project artifacts

Product Owner, Reporting Analyst

• Assisting in the development and providing custom consolidated reporting to high-net-worth clients and family offices
• Working directly with Relationship Managers and 3rd party advisors
• Handling all client inquiries and resolving issues related to reporting
• Running monthly and quarterly reporting for high-net-worth clients, Family offices and Endowments and Foundations
• Collaborating with various parts of the organization to resolve client issues
• Working with internal groups to integrate systems and workflows
• Identifying trends and recommending process improvements to increase efficiency
• Collaborating with an internal performance team to reconcile accounts in eMoney
• Working in complex data sets to identify and resolve data and calculation discrepancies

Family Office Client Services – Reporting Analyst

Risk

• Establishing and implementing the strategic direction of BBH’s data protection and governance program
• Overseeing enterprise-wide efforts to protect data from leaving BBH in an unintended manner (the Data Loss Prevention Program)
• Destroying data no longer required to be retained by law or for business purpose (the Data Destruction Program)
• Enhancing classification of data to further the efficacy of the Firm’s data loss prevention controls and destruction efforts (the Data Classification and Discovery Program)
• Establishing minimum firmwide standards for data integrity and availability and define key data management-related roles and responsibilities (the Data Governance Program)
• Reporting regularly on key metrics, risks and program maturity to oversight committees
• Building and leading a high-performing team of professionals
• Leading the coordination of, and responses to, internal audit reviews
• Partnering with key stakeholders across the Protect Pillar, Systems, the business, Risk, OGC and Compliance to implement the Firm’s data protection and governance objectives