Alex Charles

AI-Driven Process Automation Architected and trained a custom AI Agent to automate the remediation of "Net New" accounts by cross-referencing key legal documentation, transforming a high-touch manual workflow into a streamlined digital process. Orchestrated Master Data Management (MDM) initiatives across diverse global business units, aligning Front, Middle, and Back Office stakeholders on a single version of truth for institutional client data.

Data Remediation Project: Cross-Jurisdictional Entity Remediation

Context: Directed a high-priority data remediation initiative to harmonise institutional client records across global jurisdictions, ensuring alignment with internal MDM standards and regulatory requirements.

Tasks & Strategic Responsibilities:

Project Orchestration: Partnered with the Project Manager to design and implement agile remediation methodologies, optimising workflow efficiency and resource allocation.

Team Leadership: Managed a multidisciplinary team of analysts, providing technical oversight and handling complex escalations to maintain project momentum.

Document Intelligence: Conducted deep-dive forensic reviews of complex legal and tax documentation to extract and validate critical data points for institutional onboarding.

Global Stakeholder Management: Facilitated cross-functional collaboration across multiple time zones, aligning global stakeholders on remediation progress and data standards.

Key Deliverables:

Data Quality Framework: Engineered a standardized review process to audit peer-team outputs, ensuring data met the four pillars of integrity: accuracy, completeness, consistency, and reliability.

Knowledge Transfer (KT) Programs: Developed and delivered ad-hoc training modules for external departments to bridge technical knowledge gaps and standardise data entry protocols.

Remediation Methodology: Created custom tracking and management tools (Excel/Workflow-based) that provided real-time visibility into project health and bottleneck identification.

Core Competencies Demonstrated:

Critical Data Analysis: Ability to parse dense legal language into structured, actionable data.

Quality Assurance (QA): Established rigorous "second-set-of-eyes" protocols to eliminate data drift.

Stakeholder Diplomacy: Navigating the complexities of global jurisdictions and varying regional data privacy requirements.

Project: Corporate Dispute Resolution & Strategic Defense Simulation

Context: Selection for a highly competitive professional residency within a Magic Circle law firm to gain exposure to high-stakes commercial litigation and dispute resolution sectors.

Tasks & Technical Responsibilities:

Shadowing & Case Analysis: Conducted side-by-side shadowing of Junior Associates and Trainee Solicitors to analyse live case workflows and departmental operational structures.

Fact-Finding & Discovery: Led the inquiry phase during a simulated commercial defence project, tasked with identifying data gaps and extracting critical facts from complex claimant narratives.

Interrogatory Architecture: Designed and sequenced strategic questioning for a mock deposition to uncover specific evidence required for client advisory.

Key Deliverables:

Strategic Evidence Report: Produced a structured set of investigative questions used to clarify the factual basis of a fictional corporate defence case.

Mock Deposition Defence: Co-delivered a legal defence presentation for a corporate entity, translating discovered facts into a coherent advisory strategy.

Cross-Functional Strategy: Collaborated within a high-pressure team environment to synchronise legal arguments with identified factual evidence.

Core Competencies Developed:

Analytical Thinking: Mastery of evidence-based logic now applied to Data Lineage and MDM Suspect Matching.

Professional Communication: Refined ability to present complex findings to senior stakeholders.

Information Extraction: Advanced document parsing and pattern recognition skills utilised in current AI-driven remediation projects.