Equifax

Account Executive

• Build trust – establish positive relationships based on knowledge of customer requirements and dedication to value (value of counsel and expertise, value of solutions)
• Develop new relationships and maintain existing relationships with a select book of alternative finance and branch lending clients
• Strengthen the business relationship by expanding the ways in which customer relies on Equifax as a trusted advisor
• Promote a customer focus – work to understand each account’s strategic growth plans, data and technology strategy, organizational structure and the competitive landscape
• Engage with clients on a consultative basis to learn their business, anticipate needs, and position optimal solutions
• Provide account leadership – work with the sales/account team to create and maintain actionable account plans that demonstrate a solid strategy toward revenue target delivery and profitable growth
• Define and execute sales strategies that drive profitable growth while delivering meaningful customer value
• Identify, develop, manage, and close customer opportunities spanning all Equifax solutions; drive a strong, robust sales pipeline
• Collaborate with cross-functional experts internally to best align with customers and win new business opportunities
• Manages contracting and contract compliance
• Drives strong pipeline development and sales execution

Account Executive – Alternative Finance, Branch Lending

Product Manager

• Market Opportunity Assessment - Own overall Market & Customer Understanding for product and product lines managed and articulate the product vision
• Perform segmentation, market sizing, and competitive analysis to identify market opportunities
• Lead market validation (voice of customer, customer advisory boards, etc.)
• Product Definition - Lead identification and drive prioritization of opportunities for, and manage development of, strategic partnerships
• Define elements required to meet market needs and commercial viability
• Lead development of commercial model and packaging discussions
• Product Strategy & Planning - Create the business case for new product concepts and pitch concepts
• Define the product roadmap used in product strategy and planning sessions across the Product Delivery Value Stream
• Drive cross functional activities related to positioning, pricing, and promotion across distribution channels
• Product Delivery & Launch - Lead descriptions and requirement definition for product development
• Manage market feedback efforts to drive product direction
• Lead efforts to prepare for and support product release
• Monitor post launch, consult with product marketing and provide input to adjust/improve to ensure success
• Growth & Portfolio Management - Drive product engagement and satisfaction

Senior Director, Product Management

• Fosters and maintains Customer/Partner trust
• Grows Customer/Partner Revenue across the full Equifax solution portfolio
• Orchestrates Equifax resources to deliver Customer value and satisfaction across the full Customer/Partner lifecycle
• Strengthens the business relationship by expanding the ways in which Customer/ Partner relies on Equifax as a trusted advisor
• Identifies, develops, manages, and closes Customer opportunities spanning all Equifax solutions
• Engages with Clients on a consultative basis to learn their business, anticipate needs, and position optimal solutions
• Defines and executes sales strategies that drive profitable growth while delivering meaningful Customer value
• Develops strong working relationship with Client economic buyers, decision makers, and influencers
• Leverages Account, Solution, and Delivery Pre-Sales/Sales resources effectively and at appropriate times to move opportunities forward and to maintain Customer satisfaction
• Leads Account Strategy and Planning motions with cross-functional team to align Customer business imperatives with Equifax solutions
• Prepares & conducts periodic Customer business reviews
• Manages contracting and contract compliance
• Drives strong pipeline development and sales execution

Account Executive, Mortgage

Full-stack Engineer

• Design, develop, and operate large-scale applications across the full technology stack
• Design, develop, test, deploy, maintain, and improve software
• Apply modern software development practices (serverless computing, microservices architecture, continuous integration and deployment, infrastructure as code, etc.)
• Work with teams to integrate our systems with existing internal systems such as Data Fabric and the CSA Toolset
• Participate in technology roadmap and architecture discussions to realize business requirements and vision
• Triage product or system issues and debug, track, and resolve problems by analyzing their root causes and their impact on operations and network or service quality
• Independently manage project priorities, deadlines, and deliverables
• Research, design, and develop software applications to extend and enhance Equifax solutions
• Collaborate on scalability issues related to data and information access
• Actively participate in sprint planning, sprint retrospectives, and other team activities

Senior Software Engineer

Sales

• Strategically manage commercial performance and relationships with Equifax partner organizations
• Serve as a facilitator between internal teams and partners
• Ensure the company’s vision is implemented with excellence
• Lead the sales team through mentoring and individual feedback (1:1s)
• Manage conflicts and strengthen relationships with senior leadership at partner organizations
• Plan and coordinate partner-specific initiatives

Sales Manager – Partnerships

Public Relations

• Co-create and implement commercial strategies with partners
• Maximize results through a consultative approach
• Focus on accelerating results for high-performing partners
• Orchestrate regional action plans and lead negotiations in key accounts
• Ensure operational excellence through data-driven management (KPIs and Pipeline)

Partner Account Manager

Artificial Intelligence

• Serve as the Enterprise Product Owner for the Model System of Record
• Manage the master model validation lifecycle for ML models
• Coordinate routine activities performed by the MRM team
• Architect the global strategic roadmap for MRM
• Partner with Engineering, Legal, and Product teams to integrate governance requirements
• Lead project delivery by managing cross-functional dependencies
• Act as a strategic consultant to regional leads to modernize validation practices

Senior Director, Model & AI Risk Strategy

Recruitment

• Act as a talent advisor and subject matter expert by maintaining deep functional knowledge of the business, workforce planning needs, and market dynamics to influence hiring decisions at all levels.
• Build relationships with assigned business domains to understand their upcoming needs and build strong talent pipelines.
• Manage full lifecycle recruitment beginning with a strategy session, building a slate of top talent, preparing interview guides, prepping interview teams, debriefing with the team post interview to select a final candidate, and managing the offer process through onboarding.
• Manage 15 - 20 requisitions at a time meeting and exceeding metrics based goals.
• Source and evaluate candidate profiles and resumes, effectively represent the company to candidates, conduct detailed phone screens, prepare comprehensive evaluations, and present qualified candidate slates to Hiring Managers.
• Lead the integrity and accuracy of recruitment data by establishing best practices for candidate tracking, status documentation, and system compliance across applicant tracking and sourcing platforms.
• Mentor junior recruiters and hiring partners, contributing to the development of a high-performing, agile recruitment team while continuously evolving best practices.
• Explore and integrate new recruitment methods, staying current with industry trends, and sharing best practices across the team.
• Contribute to team development by assisting with the onboarding and training of new recruiters.
• Own additional strategic initiatives and special projects as assigned, supporting organizational growth and evolving hiring needs.

Senior Talent Acquisition Partner

Manager

• Conduct deep-dive internal and external benchmarking using tools like BetterComp to identify pay gaps and ensure market competitiveness.
• Partner with HR Business Partners and Sales Leaders to develop competitive pay and benefit packages for hires, promotions, and transfers.
• Drive the annual design and launch of Sales Incentive Plans (SIP) for our ANZ salesforce, ensuring alignment with global principles and local sales strategy.
• Collaborate with the "SIP Committee" and collaborate with Sales Operations to ensure plans are operationally supportable and correctly built into systems like Performio.
• Own the Annual Remuneration Review and enable the end-of-year Merit and STI process, ensuring budget adherence, data accuracy in Workday, and strict adherence to governance rules.
• Collaborate with and support HR Business Partners (HRBPs) and business leaders to resolve complex compensation issues and retention challenges.
• Elevate Employee Benefits and manage our benefits portal and vendor relationships (e.g., BUPA) to ensure our benefits program remains relevant and valued by employees.
• Compile quarterly and annual reports for the Board and SLT, covering attrition, gender pay gaps, and personnel trends.
• Act as the regional representative in the global Rewards community, managing pre-briefings and seeking approvals for local exceptions to global guidelines.
• Identify opportunities to improve business outcomes through creative rewards solutions that address current cost-of-living and talent trends.
• Maintain the career platform, document processes for new role creation, and ensure total compliance with regional audit requirements.

Total Rewards Manager

DevOps Engineer

• Manage system(s) uptime across cloud-native (AWS, GCP) and hybrid architectures
• Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK)
• Build CI/CD pipelines for build, test, and deployment of application and cloud architecture patterns, using platform (Jenkins) and cloud-native toolchains
• Build automated tooling to deploy service requests to push a change into production
• Build runbooks that are comprehensive and detailed to manage, detect, remediate, and restore services
• Solve problems and triage complex distributed architecture service maps
• On call for high severity application incidents and improving runbooks to improve MTTR
• Lead availability blameless postmortem and own the call to action to remediate recurrences

Site Reliability Engineer

• Develop deep data knowledge in the structure, application and permissible use of data sources, across consumer and commercial lines of business
• Application of data mining tools and programming languages like SQL and Python to prepare data and undertake analysis
• Represent D&A in Business Incident meetings to suggest relevant investigative or impact analyses
• Triage individual incident (non BI) tickets assigned to D&A to understand severity, necessary actions and timelines
• Manage an inbox that receives client data queries from client facing D&A teams
• Provide analytical support to the Tiger Team’s proactive data improvement initiatives
• Prioritise work across a team of analysts across BIs, incidents and queries
• Write and present proposals, approaches and results to stakeholders, including complex analysis to a range of technical and non technical audiences in Equifax’s governance councils

Data Investigations Manager

• Arquitetura de Ofertas: Desenhar soluções customizadas combinando diferentes produtos e serviços do nosso portfólio para atender segmentos específicos de mercado.
• Estratégia de GTM: Definir o posicionamento, canais de venda e modelos de precificação para as soluções desenhadas.
• Interface entre Times: Atuar como ponte entre os times de Produto (quem constrói) e Vendas/Marketing (quem leva ao mercado), garantindo que todos falem a mesma língua.
• Análise de Mercado: Monitorar a concorrência e o comportamento dos clientes para ajustar o portfólio de forma proativa.
• Enablement (Capacitação): Criar materiais técnicos e estratégicos para apoiar o time comercial na venda das soluções complexas.

Especialista em Pré Vendas – Segmento de Crédito

Customer Success Manager

• Relationship-based sales role
• Responsible for optimizing the customer experience lifecycle
• Facilitate management of the post-sale implementation program

Customer Success Manager – Specialist

Data Scientist

• Design and execute specialized evaluation and monitoring strategies to assess GenAI workflows, focusing on multi-step reasoning, tool-use reliability, and "looping" risks where agents may fail in autonomous tasks
• Critically evaluate and monitor GenAI-specific risks, including hallucinations, prompt injection vulnerability, and data leakage, ensuring that mitigation strategies (such as guardrails and RAG-based grounding) are robust and effective
• Conduct research on emerging evaluators (e.g., "LLM-as-a-judge") and develop benchmarking standards to systematically assess GenAI application outputs, ensuring the system performs reliably on unstructured data where traditional statistical profiles do not apply
• Develop and execute comprehensive stress-testing protocols to assess GenAI soundness and identify potential risks
• Critically assess the completeness and accuracy of GenAI development documentation, code, and marketing materials
• Develop and implement innovative validation approaches for complex and nontraditional models, including those with unstructured data and unique risk profiles
• Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data
• Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources
• Develop and deploy AI and ML solutions on Google Cloud Platforms
• Utilize massive data sources to craft business insights and features for innovative solutions
• Understand diverse data sources, both structured and unstructured

Senior Agentic AI Data Scientist – Model Risk Management

• Conduct model validation to verify quality of models and identify data anomalies using statistical and advanced machine learning approaches
• Apply critical rigor and assess models built for various verticals including retail banking, auto lending, communications and utilities, mortgage, and payments
• Research new and advanced data science techniques as appropriate for a specific solution
• Be able to learn quickly and conduct research and exploration independently on new modeling techniques; Keep him/herself up to date to the latest in the industry
• Must be proficient in Python and SQL and have sufficient knowledge in such advanced computational languages/applications as Big Query, TensorFlow, Scala, SAS, and/or R
• Be able to communicate concisely in both written and oral English and to create model validation reports, including presentation to senior management, supervisory authorities, and model stakeholders
• Must be a great team player. Must be self-motivated, disciplined and task focused; Be able to deliver high quality results within strict deadlines