TransUnion

Call Center Representative

• Contribute to business growth by consistently meeting and surpassing sales goals
• Enhance customer satisfaction and loyalty through effective problem-solving and personalized service
• Strengthen the company’s brand reputation
• Support risk mitigation and process improvement for customers
• Foster a culture of continuous learning and professional development

Sales and Retention Call Centre Agent

Operations

• Manage incoming calls and emails for both English and French speaking banking and business customers.
• Translate and respond to emails, and review contracts and other documents.
• Identify and assess customers' needs to achieve satisfaction.
• Build sustainable relationships of trust through open and interactive communication.
• Provide accurate, valid and complete information by using the right methods/tools.
• Meet personal/customer service team targets and call handling metrics.
• Handle complaints, provide appropriate solutions and alternatives within the time limits; follow up to ensure resolution.
• Keep accurate records of customer interactions and process updates or dispute information on consumer files.
• Follow communication procedures, guidelines and policies.
• Take the extra mile to engage internal and external customers, always being scrupulous and thorough.

Voice Office Operations Representative, French Speaking

Crypto

• Administer and maintain the DAM system for optimal organization, accessibility, and performance.
• Develop and enforce metadata schemas, taxonomy, tagging, and asset lifecycle policies.
• Conduct audits to ensure asset accuracy, compliance, and relevance.
• Enforce standards and escalate recurring governance issues.
• Evolve metadata structures to meet changing business needs and improve discoverability.
• Partner with the Web Team to manage asset deployment in AEM Sites.
• Ensure assets are properly tagged, linked, and optimized for web use.
• Troubleshoot AEM asset issues and support content authors and developers.
• Align asset workflows with publishing timelines and content strategy.
• Collaborate with global marketing and creative teams to ingest and catalog assets.
• Train team members on DAM best practices and governance.
• Facilitate efficient asset retrieval and reuse across campaigns.
• Maintain rights management and usage guidelines for licensed and proprietary content.
• Ensure adherence to brand and accessibility standards.
• Monitor asset usage and governance compliance, recommending improvements as needed.

Digital Asset Management Specialist, GCC Africa

Product Manager

• Work closely with the VP of Global Data Access Solutions to bring innovative, timely, customer-informed solutions to market.
• Drive or support several high visibility strategic initiatives, including expanding Prescreen to Cloud Data Warehouse.
• Create high quality succinct and engaging presentation materials for engagement with executives.
• Support GDAS leadership to size initiatives and develop planning initiatives.
• Constantly seek ways to better serve GDAS customers by expanding use cases.

Product Manager, Global Access Data Solutions

Manager

• Lead and develop a team responsible for telecom carrier order processing, including installs, changes, and disconnects.
• Oversee execution of Access Service Requests (ASR) across multiple order types (e.g., ethernet, transport, microwave).
• Ensure operational accuracy, timeliness, and compliance across high-volume, order-driven workflows.
• Act as a second-level escalation point for complex customer or carrier issues.
• Coordinate and prioritize work across onshore and offshore teams to maximize coverage and throughput.
• Partner with internal and external stakeholders to resolve order fallout and system-related issues.
• Monitor performance metrics and operational trends to identify opportunities for process improvement.

Product Support Manager

• Onboarding, managing, analyzing, and validating data quality across multiple environments.
• Manage data applications across multiple platforms.
• Monitor day-to-day data operations and operational processes.
• Configure and maintain data flows, application jobs, and scheduled processes.
• Analyze data to identify data quality issues and application deficiencies.
• Investigate operational issues and perform root-cause analysis.
• Create and review reports to assess operational health of production applications.
• Assist in development and expansion of data quality programs and initiatives.
• Prepare and present analysis results to business partners and stakeholders.

Senior Data Operations Analyst

Director

• Define and execute the global fraud analytics strategy.
• Own the product strategy, roadmap, and lifecycle management for fraud analytics capabilities.
• Lead and influence AI strategy for Global Fraud Solutions.
• Partner with data science and engineering teams to translate analytics capabilities into production‑ready, scalable products.
• Drive the global expansion of fraud analytics by adapting and scaling models across geographies.
• Collaborate with regional fraud leaders, sales, customer success, and global market teams to ensure analytics solutions meet client needs and support revenue growth.
• Monitor and evaluate product performance, adoption, and ROI.
• Operate with a high degree of ownership and autonomy in a matrixed organization.
• Represent TransUnion in client discussions and industry forums related to fraud analytics and AI thought leadership.

Senior Director, Global Fraud Analytics

Marketing

• Lead multi‑million dollar client engagements, overseeing delivery, internal teams, timelines, and budgets
• Diagnose client business needs and architect data-driven solutions across multiple data sources
• Deliver high‑impact insights through advanced quantitative analysis, forecasting, and strategic recommendations
• Translate complex analytics into clear, actionable stories that influence senior stakeholders and drive change
• Grow and defend client relationships by mentoring teams, ensuring client value, and identifying new revenue opportunities

Client Value Executive – Marketing Solutions

Backend Engineer

• Design, Integrate and deliver enterprise-scale AI/ML solutions
• Own the technical roadmap from concept to deployment
• Work closely with engineering, data science, and platform teams to build production-grade systems
• Foster best practices in system design, development, and deployment across teams
• Drive innovation use cases and PoCs, aligning technical solutions with business outcomes
• Bridge business stakeholders and engineering, translating complex requirements into robust designs

Software Development Consultant, Java, Big Data

Technical Product Manager

• Enable internal teams to effectively operate on the OneTru platform through scalable, repeatable, and intuitive enablement experiences.
• Drive measurable business outcomes by reducing operational friction, accelerating onboarding, and increasing adoption across data, analytics, and fulfillment workflows.
• Own the Customer Zero Enablement strategy across multi-persona, multi-tenant operational and analytics journeys in support of platform migration and scale.
• Translate complex workflows, pilots, and real-world platform usage into prioritized product roadmap investments tied to adoption and efficiency metrics.
• Partner with Engineering and Architecture to define secure, cloud-native solutions that balance short-term enablement needs with long-term platform strategy.
• Collaborate with UX to map end-to-end journeys, define Jobs-to-Be-Done, and convert insights into actionable, buildable platform requirements.
• Define success metrics, acceptance criteria, and dependency alignment to ensure consistent, measurable delivery.
• Develop enablement artifacts such as playbooks, SOPs, and onboarding guides to reduce reliance on tribal knowledge and improve time-to-value.

Principal Technical Product Manager

Analyst

• Collect data from multiple sources, using collected data to diagnose business needs of clients
• Work closely with Data Scientists, Consultants, and external clients to identify insights, translate data analysis to stakeholders, and share results of data analysis
• Implement analytics solutions to address marketing effectiveness, return on investment (ROI), brand equity impact, segmentation, pricing, and environmental factors
• Work with Senior Data Scientists and other associates to ensure quality of data models, including modeling methodologies, data/model validation metrics, actionable insights, and analytical/technical best practices
• Implement multi-touch attribution models (MTA) and marketing mix models (MMM) based on statistics, econometrics, and machine learning techniques such as logistic regression, choice model, time-series model, panel data model, Bayesian statistics, ridge regression, structural equations, probability theory, and clustering algorithms
• Analyze big data sets to generate insights on media, market conditions, and web navigations
• Validate model results, compiling these results into reports on ROI analysis, forecasting, simulation, and optimization

Senior Analyst

Sales

• Manage and direct the team’s day‑to‑day activities, with a clear understanding of workflow management and resource allocation.
• Establish and maintain strong working relationships with internal and external customers.
• Spend approximately 20% of time performing similar work as those supervised.
• Prepare mid‑year and end‑of‑year reviews by analyzing productivity, quality of work, and departmental contributions.
• Mentor and develop associates and support professional growth.

Sales Support Associate – Lead

Consultant

• Support the Card & Banking vertical in executing strategic initiatives that drive growth across U.S. credit card, banking, and credit union markets.
• Act as a consultative partner to both sales teams and clients, translating strategy into execution and supporting effective solution positioning and deal pursuits.
• Scale internal capacity, subject matter expertise and thought leadership abilities across the U.S. financial services sales organization through a mix of ongoing programs and ad hoc partnership.
• Create and publish expert-level internal content synthesizing industry trends, lender implications and TransUnion best practices, ensuring sales success using this content with customers.
• Monitor and report on progress of key initiatives across our 5,000-strong customer base.
• Represent TransUnion subject matter expertise in select customer engagements.
• Support key in-year initiatives critical to the achievement of the annual operating plan, including product introductions, customer migrations, and focused sales campaigns.
• Grow a public industry thought leader profile, through occasional speaking and writing across TU or industry outlets.
• Plan, execute and host customer events, regional roundtables and support Card & Community FI customer advisory boards.
• Advocate for the voice of the market across the TransUnion matrix, including product development and marketing initiatives.
• Support the continued transformation of TransUnion from credit data provider to a solutions-based consultative business partner by successfully interfacing with, and gaining internal support from, all facets of the TransUnion organization.

Senior Market Development Consultant – Card & Banking

Full-stack Engineer

• Design and build reliable backend systems and infrastructure tooling
• Use TDD to write high-quality, maintainable code and build out automated test suites
• Own reliability, observability, and performance of key services
• Collaborate with clients to understand requirements, debug issues, and propose solutions
• Drive improvements to system architecture, automation, and deployment processes
• Mentor junior developers and contribute to a strong engineering culture
• Take ownership of problems—investigate, iterate, and fix

Lead Engineer

Risk

• Develop python scripts to build connectors to our data sources for dashboards.
• Ensure automation between source data and our DB platforms.
• Ensure access to API – credentials and set-up.
• Maintain and update connectors as part of BAU activities.
• Back-end development to support interactive dashboards and reports in Power BI.
• Attend and participate in team innovation labs sessions.
• Establish lines of communication with identified stakeholders and collaborate with them to understand data needs.
• Participate in deployment activities.