Sean Meehan

2026

May 2026 – Present

Melbourne, Australia

Senior MarTech Engineer - AI Enablement · Insignia Financial

New chapter, just getting started.

2024

Jan 2024 – Apr 2026

Melbourne, Australia

Application Engineer · Vanguard Australia

• Led Palantir Foundry platform engineering for Vanguard Australia, partnering with Palantir to establish additional development environments and implementing secure release management practices across 26 production deployments.
• Delivered significant Palantir Foundry platform optimisations including $107k annual savings via ingestion pattern redesign, 730 compute hours saved through transformation refactoring, and established role-based access control using Palantir mechanisms and SSO integration.
• Architected schema design and data modeling for AWS integrations with Adobe Experience Platform CDP and Salesforce Marketing Cloud, enabling real-time customer data activation across marketing channels.
• Built an event-driven streaming microservice using AWS Lambda event listeners, API Gateway REST endpoints and Lambda processing functions, enabling instant client registration data delivery to downstream marketing systems.
• Designed and developed an observability solution, leveraging Microsoft Power Automate to automate the generation of pipeline failure alerts, tailored to upstream event source and recipient audience.
• Refactored an AWS Lambda microservice to introduce team Python development standards, achieving 100% unit test coverage across the application.
• Created a new application to enable more efficient local development of AWS Lambda functions. Built to mimic the actual runtime behaviour of the Lambda by accessing secrets, keys and calling real linked services, the application allowed components of the Lambda function to be modified without edits required to the source code or deployment, providing a fast, safe, iterative change environment.
• Pursued continuous AI/ML professional development including fast.ai Practical Deep Learning Part 1, prompt engineering, Vanguard AI essentials and Amazon Bedrock training, strengthening technical capabilities for machine learning initiatives.
• Co-organised the Vanguard DeepRacer 2024 competition, hosting a reinforcement learning strategy session for participants.
• Participated in ML hackathon developing an intelligent adviser client pairing solution, attended Programmable Melbourne, and conversed with Vanguard Global CIO Nitin Tandon in AMA session to stay connected with technology trends and leadership thinking.
• Organised and presented at internal analytics and engineering events, including co-lead for Datathon 2025 (AI/ML-enabled analytics hackathon), team lead at IT Vision Expo, and creator of "Think like a Developer" brownbag teaching software engineering practices to business professionals (60+ peak attendance).
• Developed and deployed proof-of-concept client account funding propensity model using Amazon SageMaker, building XGBoost based pipeline and production inference endpoint to validate ML infrastructure capabilities.
• Assumed ownership of complex regulatory reporting Python application and accompanying Jupyter Notebooks. The expanded reporting scope required gaining a deep understanding of highly specialised business logic, running discovery workshops to document requirements, translation of requirements into production Python code and output reconciliation cycles with business stakeholders.
• Achieved internal security champion certification. Facilitated an application security assessment, implementing the agreed security upgrades to address any identified vulnerabilities.

2022

Jan 2022 – Dec 2023

Melbourne, Australia

Senior Data Analyst · Vanguard Australia

• Developed complex SQL queries in AWS Athena and Hue to enable marketing campaign targeting (36 annual campaigns, up to 20,000 recipients), sales performance reporting and dashboard construction.
• Won Vanguard Australia's inaugural AWS DeepRacer competition (100 participants) by developing a custom reward algorithm in Python and training a reinforcement learning model for autonomous racing.
• Led end-to-end delivery of a sales and marketing leadership dashboard: facilitated workshops, translated problem statements into wireframes, built modular Python/SQL data models and pipelines, and delivered the Tableau product to business users.
• Coordinated legacy application discovery, knowledge transfer and assisted the development of a new modernised, serverless, event driven analytics solution for the corporate finance team. The solution migrated assets from AWS EMR to Glue, Glue Catalogue and Lambda.
• Supported senior stakeholders through the delivery of ad-hoc analytics covering market share trends, cashflow growth patterns and relationship NPS, providing data driven insights that informed sales and marketing resource allocation decisions.
• Championed the migration of team workload management to Jira, providing training, ensuring adoption and providing visibility to business stakeholders.
• Continuously optimised AWS data pipeline performance using Python and SQL, implementing cron scheduled automation that eliminated manual intervention for high dependency transformation jobs.

2020

Aug 2020 – Dec 2021

Melbourne, Australia

Performance Analyst · Vanguard Australia

• Delivered an end-to-end data lake analytics solution for corporate finance, including automated AWS EMR data lake transformation pipelines (Python, SQL, PySpark) and SOX-compliant Tableau reporting, enabling finance teams to eliminate manual processes and improve reporting timeliness.
• Utilised native Dynamics CRM connectivity with Power BI to automate compensation dependent KPI reporting for the Distribution team. Continuously improved the data model and visualisation to incorporate user feedback, improve performance and unlock additional insights.
• Delivered an MVP data model for time-critical audit reporting, by joining disparate sources via Tableau Prep, enabling faster turnaround under tight reporting timelines.
• Led continuous improvement of 20+ production dashboards across Power BI, Tableau and Dynamics CRM through structured stakeholder engagement, user feedback triage, and data model optimisation.
• Partnered with specialist sales function to design and gain leadership approval for analytics transformation roadmap, including data consolidation approach, pipeline architecture and dashboard integration plan.
• Provided sales and marketing domain expertise across three enterprise initiatives: outsourced data aggregation/standardisation project, Siebel to Dynamics CRM migration and an internal analytics platform modernisation, delivering requirements documentation and UAT validation.
• Responsible for ongoing onboarding and training of new analytics team members.

2018

Feb 2018 – Jul 2020

Melbourne, Australia

Data Analyst · Vanguard Australia

• Represented Australian CRM users as subject matter expert on enterprise-wide Dynamics 365 migration, travelling to Vanguard's Malvern, Pennsylvania headquarters to articulate divisional requirements and design system dashboards that enhanced end-user experience.
• Mentored and developed data analyst team members, establishing onboarding frameworks and delegating responsibilities to build team capability and capacity.
• Partnered with InterWorks to define reporting requirements and deliver a Tableau management dashboard used for performance tracking and leadership decision making.
• Unlocked sales opportunity analytics by standardising pipeline data capture in Excel, enabling executive visibility of funnel performance and forecasting through Tableau dashboards.
• Served as business lead for sales applications during global Data Centre Transformation, managing discovery and documentation of high-risk systems and coordinating post-migration testing to ensure operational continuity.

2017

Jul 2017 – Jan 2018

Melbourne, Australia

Client Services Associate · Vanguard Australia

• Automated processes dependent on manual spreadsheet manipulation through the application of Excel VBA macros.
• Created a management dashboard by consolidating workflow data into representative visual using Tableau.
• Compiled year-end reports for client audit requirements.
• Tracked and completed regular client reports to meet service level agreements for high AUM mandates.
• Provided knowledgeable, accurate responses to client phone calls and email requests.