Thomson Reuters

Data Scientist

• Support D o D/ D o W customers by developing advanced capabilities and prototypes
• Collaborate with cross-functional teams including Software Engineers, Product Managers, and Analysts
• Build and deliver ML/AI-enabled capabilities for mission and operational problem areas
• Develop data pipelines, features, and models using various methods including NLP/LLMs, anomaly detection, and multi-modal data fusion
• Participate in research and development (R&D), business development efforts, and proof-of-concept projects
• Engage in innovation activities and strengthen technical skills

Implementation Specialist

• Architect, design and build solutions on the HighQ platform based on client use case and goals
• Onboard and train clients
• Work with a range of client stakeholders
• Communicate solutions in a clear and concise manner
• Project manage solutions delivered to clients
• Manage multiple client accounts

Implementation Consultant

General Counsel

• Own and evolve end-to-end lifecycle journeys for CoCounsel Legal AI, driving adoption, engagement, and expansion across customer segments.
• Design, launch, and optimize lifecycle experiments—testing messaging, timing, channels, and experiences to accelerate customer value and pipeline contribution.
• Build segmented, persona-based journeys, initially focused on lower-market customers and evolving programs to support upmarket growth and expansion.
• Develop AI-forward nurture programs that increase confidence, usage, and readiness to adopt advanced CoCounsel capabilities.
• Execute multi-channel lifecycle campaigns across email, in-product messaging, webinars, learning content, and community touchpoints.
• Partner closely with Product Marketing, Customer Success, Sales, and Operations to align lifecycle programs with customer health signals, expansion triggers, and sales motions.
• Co-own lifecycle measurement and reporting, defining success metrics and using insights to prioritize iteration and investment.
• Curate and activate enablement and learning content that supports AI adoption and long-term customer value.

Lifecycle Marketing Manager

Video Editor

• Own TikTok content strategy and production end-to-end
• Produce Instagram Reels and YouTube Shorts as derivative content
• Develop a TR Legal video content identity
• Create and test creative for ChatGPT native ads
• Work with the Events Specialist and Marketing teams to capture event footage
• Build a bench of internal TR subject matter experts
• Manage a content production calendar with 3–5 short-form videos per week

Short Form Video Content Creator

Performance Marketing

• Own strategy and execution across paid media channels including DV360 Display, Google, Online Video, Social (LinkedIn, Meta, Reddit)
• Lead demand creation strategic recommendations and optimize audience segments
• Measure impact via platforms, Adobe Analytics and Tableau reporting suites
• Collaborate with Demand Generation teams for activation of product feature releases

Senior Paid Media Specialist, Paid Social/Programmatic

Product Manager

• Drive commercial performance for Legal Research Solutions across Australia
• Develop and execute the Australian GTM strategy for Legal Research Solutions
• Maintain deep market and customer insight by engaging with customers and GTM teams
• Partner with Product and Editorial teams to influence prioritised roadmap decisions
• Support sales execution by collaborating with Solutions Consultants, product experts and BDMs
• Lead market enablement and launch readiness by working with product marketing teams
• Optimise pricing, partnerships, and thought leadership by engaging with strategic pricing leads

Director, Product Management

Artificial Intelligence

• Engage internal SMEs to understand current processes and as-is workflows — translate into buildable AI requirements
• Demo working solutions to internal stakeholders up to business leadership level
• Support the Architect during feasibility and POC phases — contribute to rapid builds and validate fit
• Maintain stakeholder communication throughout: progress updates, issue escalation, solution walkthroughs
• Co-invest with the Architect in upfront solution design — design robustness directly determines build speed and test quality
• Translate architecture into implementation plans — break down into assignable streams for Developer and Associate
• Own day-to-day technical decisions during build when the Architect is focused on other projects
• Identify architectural risks early and escalate before they become build or production problems
• Build complex solution components end-to-end on AWS AgentCore and LangGraph — hands-on coding role
• Scale solutions from POC to production: performance, reliability, monitoring, and cost management
• Debug production failures: hallucination patterns, retrieval degradation, agent loops, latency regressions
• Use AI coding tools (Claude Code, GitHub Copilot, Cursor, Cline) to accelerate delivery
• Own all generated code
• Build Low Code automations (Copilot Studio, Power Automate) when use case and bandwidth allow
• Guide Developer and Associate through implementation, code reviews, and debugging
• Ensure the team uses AI tools effectively — accelerating delivery without sacrificing code understanding

Automation and AI Solutions Lead

Controller

• Independently manage local statutory and tax compliance either for a Country or a group of Countries
• Work with various business partners independently to ensure legal entities are accurately, completely and timely accounted for in the enterprise systems
• Ensure the month end close in line with Thomson Reuter’s global reporting timetable
• Review critical accounts reconciled to underlying documentation
• Liaise with auditors on Statutory & internal audits
• Participate in regional balance sheet and cost reviews
• In conjunction with the Tax Department completion of tax packs, booking of tax provisions
• In conjunction with the Transfer Pricing Department review quarterly calculation for Group books and perform the true-up Calculation for local books

Assistant Controller

Marketing

• Manage the end-to-end purchase order (PO) process for LATAM Marketing, from receipt of approved requests through execution and monitoring.
• Ensure accurate and timely operational execution of requests, meeting deadlines and aligning with internal teams' needs.
• Maintain and manage supplier registration and onboarding, acting as the bridge between our stakeholders and the global procurement team.
• Own supplier relationship management, ensuring service delivery, SLA compliance, issue resolution, and ongoing communication.
• Review and validate invoices and charges, confirming alignment with contracts, POs and services delivered.
• Provide visibility and operational support around marketing spend, suppliers and contractual commitments.
• Identify and drive process improvement and automation opportunities, leveraging technology and AI to increase efficiency.
• Support the evolution of Marketing Operations by reducing manual work and enabling deeper analysis, insights and strategic focus.
• Collaborate cross-functionally with Marketing, Finance, Operations and external partners to ensure smooth and effective workflows.

Marketing Operations Analyst

Full-stack Engineer

• Collaborate with a cross-functional team of product managers, UX designers, AI engineers, and software developers to design, implement, and execute comprehensive testing strategies for AI-powered solutions
• Design and implement comprehensive test strategies for advanced AI systems, including multi-component pipelines, retrieval-augmented generation (RAG), and custom AI agents with multi-step reasoning
• Develop automated testing frameworks for AI model performance, accuracy, and reliability in production environments
• Create test cases specific to AI/ML systems, including model validation, output quality assessment, and edge case testing
• Validate AI model integrations with production software through robust APIs and scalable data pipelines
• Test AI systems adapted to specialized domains, ensuring quality for expert systems in areas such as legal, tax, and compliance
• Break down functional requirements into comprehensive test specifications and automation strategies
• Mentor junior QA engineers and facilitate technical discussions on AI testing best practices
• Contribute to MLOps and LLMOps practices with a focus on quality assurance, continuous testing, and monitoring
• Act as a thought leader in AI quality assurance, sharing expertise in company-wide forums and representing the organization in emerging testing technologies
• Implement comprehensive automated testing frameworks and monitoring systems for AI model performance, accuracy, and reliability
• Create and maintain test automation suites using industry-standard tools and frameworks (Selenium, pytest, etc.)
• Ensure compliance with ethical AI principles, security standards, and regulatory requirements through thorough testing
• Conduct systems analysis and recommend operational improvements to testing processes
• Report deviations of quality to development teams and create informative bug reports with effective follow-up
• Create detailed test reports documenting all issues found during testing iterations
• Work closely with AI researchers, engineers, designers, and product teams to translate AI quality requirements into effective test strategies
• Participate in daily stand-ups and iteration meetings in an Agile/Scrum environment
• Optimize testing processes considering factors like test coverage, execution time, and resource usage
• Support application feature enhancements by ensuring robust quality assurance for AI capabilities

Software Engineer – AI

Producer

• Lead on the commercial success of major industry conferences including hitting quality, revenue and attendance targets and setting sales and marketing strategy for the entire project.
• Research reinsurance market trends, understanding hot business issues and developing conference agendas that will resonate with our professional audiences.
• Conduct high profile marketing campaigns, and will use your commercial acumen to contribute to future strategy and business planning.
• Monitor event performance, planning (strategic, financial and operational), and will provide guidance and coaching to the wider team.
• Oversee quality control on products, marketing and client relationships within the insurance and reinsurance industry.

Senior Conference Producer

Payroll

• Process and verify payroll, ensuring accuracy of calculations and adherence to deadlines.
• Handle payroll-related labor and social security contributions, ensuring compliance with applicable legislation.
• Manage statutory filings and ancillary obligations, including eSocial, FGTS, and other legal submissions.
• Conduct reviews and analyze discrepancies, proposing corrective actions and process improvements.
• Serve as a point of contact for HR, Finance, and Audit teams, ensuring process alignment and smooth operations.
• Support continuous improvement of payroll processes, including digitization and automation.

Payroll Analyst (Mid-level)

• Design, build, and maintain predictive models supporting customer expansion including propensity-to-upgrade and engagement scoring models
• Use behavioral, usage, firmographic, and lifecycle data to identify signals indicating readiness for AI adoption and expansion
• Partner with Lifecycle Marketing to translate model outputs into actionable segments and testable hypotheses across the customer lifecycle
• Collaborate with Marketing Operations to operationalize models within Customer Data Platform (Treasure Data) for activation and measurement
• Develop features and datasets using product usage data, campaign engagement, learning activity, and customer attributes
• Validate, monitor, and continuously improve model performance ensuring accuracy, explainability, and alignment to business outcomes
• Support experimentation by defining success metrics, analyzing lift, and interpreting results for optimization decisions
• Document modeling approaches, assumptions, and outputs for transparency and cross-functional understanding
• Work cross-functionally with Data Engineering, Product, Customer Success, and Commercial teams to ensure data quality and aligned outcomes

Data Scientist, Customer & Growth Analytics

Events

• Define and evolve the global Thomson Reuters brand strategy to support enterprise growth and long-term market leadership
• Serve as steward of brand purpose, positioning, voice, and visual identity across all businesses, platforms, and regions
• Own the enterprise thought leadership strategy, positioning Thomson Reuters as a trusted voice on critical issues impacting professionals and institutions globally
• Lead enterprise-wide communications strategy including internal and external communications
• Own enterprise strategy for all Thomson Reuters events including flagship events and customer conferences
• Build and lead a high-performing, globally distributed organization spanning brand, communications, thought leadership, and events

Head of Brand, Communications, Events

Data Engineer

• Lead the architecture, development, design, and maintenance of data pipelines and dashboards
• Partner with senior stakeholders to define reporting needs and deliver actionable insights
• Champion and implement advanced AI and machine learning techniques for reporting solutions
• Conduct in-depth analysis of large datasets to uncover critical trends and anomalies
• Establish best practices for data integrity and accuracy, mentoring team members
• Provide expert guidance on reporting tools, analytical methodologies, and emerging technologies
• Drive continuous improvement initiatives and contribute to technical roadmap
• Articulate complex findings to executive stakeholders through presentations and reports
• Lead data projects from conception through deployment aligning with business objectives
• Act as subject matter expert for data analysis and reporting