Equifax

QA Automation Engineer

• Develop and operate scalable AI applications from the backend logic, while focusing on security and operational excellence
• Apply Agentic coding practices to develop new and AI augmented features for the application
• Participate in technology roadmap discussions to turn business requirements into functional autonomous solutions
• Write, debug, and troubleshoot code in mainstream open-source AI technologies and maintain the code base for a Data Analytics and validation platform
• Capture and refine requirements across multi-disciplinary teams
• Perform system validation and ongoing support for application
• Diagnose and resolve performance issues
• Document code/processes so that any other developer is able to dive in with minimal effort
• Integrate our systems with existing internal systems
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network or service operations and quality

Senior AI Automation Engineer

Business Analyst

• Champion data stewardship principles.
• Analyze and understand key business processes as it pertains to data.
• Monitoring database performance.
• Performing regular data integrity and quality audits.
• Reporting / Summarizing the differences / addressing gaps with key stakeholders
• Creating SQL/SOQL/Big Query/Python queries to extract and compare large sets of data in order to identify inaccuracies across multiple systems of record
• Manage large cross-functional projects in partnership with Sales, Operations, Finance, Marketing, Digital Strategy, Sales Support, Business Technology and Corporate COE’s utilizing Agile methodologies
• Define the execution strategy to meet the defined data business goals for the Salesforce platform
• Proactively gather and prioritize user data and Data enhancement requests and coordinate weekly, monthly, and quarterly enhancements.
• Facilitation of managing data loads and data enhancement tickets with our IT partners via JIRA and existing load process and templates
• Perform data testing for configuration of objects, fields, record types, page layouts, workflow and validation rules in Salesforce with input from business leaders.
• Participate in development requirements gathering and grooming sessions to represent data impacts including but not limited to data governance, historical data, future data, etc
• Refining process and establishing new best practices for this work ongoing / documenting any changes to be shared with others within the business unit
• Direct activities, assign responsibilities, set expectations and motivate team members toward achieving program objectives

Data Management Analyst

• Administer client unemployment accounts ensuring accurate tax rate assignment by the states
• Act as a point of contact for both clients and state agencies
• Accurately produce and verify system generated client letters, rate projections, tax rate notices, and annual reports
• Investigate and resolve state debit/credit notices and miscellaneous documents
• Update the client database and serve as a liaison between clients, state agencies, and field operations
• Comprehend and complete Change of Status (COS) forms and lay-off/claims impact studies
• Complete unemployment and withholding registration and transfer paperwork for 1-2 assigned states

Unemployment Tax Associate

Data Scientist

• Work with various stakeholders such as Business Consultants, Senior Statisticians, Product Management, and Clients on the formulation and application of new modeling solutions for a variety of industry problems
• Manipulate large data sets, integrate diverse data sources, data types and data structures into solutions
• Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development
• Research new and advanced predictive modeling techniques as appropriate for a specific solution
• Present results and recommendations to internal and external customers
• Work with cross-functional teams to develop ideas and execute business plans
• Develop solution prototypes and help integrate them with the product
• Work closely with software development teams to communicate requirements and ensure quality of end-to-end deliverables of developed analytical solutions
• Contribute to the team knowledge by keeping up with the state-of-the-art in machine learning applied to our domain

Senior Data Scientist

Sales

• Lead and manage the Specialized Services team, ensuring alignment with Equifax’s imperatives, sales strategy, financial goals, the company vision and long-term strategy.
• Develop comprehensive growth strategies for acquiring new business and expanding existing direct and indirect accounts.
• Manage budget, exercise strong knowledge of items impacting expenses and revenue and ROIs of various activities - all focused to deliver against growth goals for Specialized Services.
• Establish and maintain strong customer relationships, specifically at the senior leadership level, to support the five specialized sales teams, explore new cross-sell opportunities and ensure retention of business.
• Identify, recruit, develop, and retain a high performance team of managers and sales professionals.
• Leverage data, trends and insights to be able to improve the customer experience and maximize revenue opportunities.
• Optimize the Customer Success lifecycle within an assigned set of accounts, ensuring high product adoption, usage, satisfaction and overall account health, including retention and renewals.
• Foster and maintain trust with customers and partners.
• Orchestrate cross functional resources to deliver value and satisfaction across the full customer lifecycle.
• Represent Employer Services externally as required, for example at industry events, conferences and in thought leadership.
• Articulate outcomes to EWS leadership with a clear understanding of the levers (internal and external) impacting the success of Specialized Services.
• Partner with internal teams across the organization to share voice of customer feedback and opportunities for improvement, revenue growth, future product roadmap suggestions and overall account retention information.

VP Specialized Sales – Employer Services

Performance Marketing

• Develop and execute integrated marketing campaigns across multiple channels
• Define campaign plans, channels, ABM approaches, and timelines
• Collaborate effectively with cross-functional teams to ensure seamless campaign execution
• Manage campaign deliverables, ensuring projects stay on track, within budget, and adhere to quality standards
• Leverage AI agents and automated frameworks to eliminate repetitive tasks
• Collaborate with the content and portfolio marketing teams to develop compelling campaign messaging and content
• Maintain status reports for all current campaigns

Director, Demand Generation

Bilingual

• Collaborate with an assigned portfolio of clients to identify and structure operational challenges, leveraging strong analytical and problem-solving skills.
• Lead data-driven narrative communication efforts and present actionable recommendations and insights aligned with clients' objectives and strategies.
• Support the sales process as a trusted risk advisor alongside vertical market experts, developing tailored solutions and compelling business-case analyses that resonate with senior stakeholders.
• Provide thought leadership on data and analytics applications, trends, and governance within the financial services, insurance, and credit sectors.
• Collaborate with internal teams (sales, product, vertical market consulting, service delivery) to ensure solutions are delivered on time and meet client expectations.
• Proactively extract and analyze proprietary data to identify trends and opportunities for clients, delivering insights that drive measurable outcomes.
• Maintain a deep knowledge of data sources, models, and analytics platforms to deliver best-in-class solutions.

Senior Analytics & Technology Consultant — Bilingual

Business Intelligence Developer

• Design, develop, and maintain scalable ETL pipelines and workflows using BigQuery and Airflow
• Create and manage interactive dashboards in Looker Studio
• Develop and optimize complex SQL queries for data modeling and reporting
• Manage version control and collaborate on code development using Git and GitHub
• Monitor the health and performance of data pipelines and dashboards
• Partner with the Collections team to resolve data inquiries

Business Intelligence Developer II

Technical Product Manager

• Connects with the Customer in partnership with Product Management
• Understand the needs of customers and stakeholders in a broader context
• Develops partnership relationships with key engineering and QA counterparts
• Participates in interviews with users, customers and stakeholders to understand requirements
• Articulate and decompose the work into discrete increments that align to customer needs
• Provides inputs in business/technical requirements definition
• Understands the end product/functionality needed
• Provides guidance to engineering and QA teams when clarity about business requirements is needed
• Active participant in solutioning and epic decomposition process
• Drives the process to identify, capture and document dependencies required to deliver the plan
• Active participant in the process of initial estimates and value/effort assessment to define scope of quarterly increments
• Reviews initial drafts of stories developed and/or contributes to refinement for Product Management review
• Aligns prioritization with Product Management and Product Owner best practices
• Captures feedback from Demos
• Actively lead documentation and synthesize feedback from demos

Technical Product Owner

Account Executive

• Responsible for managing a portfolio of key Telco accounts, forging C-level relationships, and developing strategic sales plans
• Maximize new business and existing revenue; manage developing accounts
• Grow revenue through new business by initiating prospecting activities and identifying critical players in the account
• Provide highly customized solutions to our top strategic customers based on a deep understanding and insight into customer’s business
• Conduct in-depth discovery sessions to understand client challenges and pain points
• Manage client contracts to deliver renewals and revenue increases through up-sell and revenue management
• Partner with a team of solutions architects, product specialists/consultants, and marketing to orchestrate a seamless sales process

Senior Account Executive

Operations

• Support the Government Line of Business leader and sales organization from an operational perspective
• Maintain updated and accurate pipeline reports and forecasts
• Ensure CRM hygiene and assist users in onboarding and using CRM tools
• Organize and facilitate recurring cadence calls for LOB Sales Leaders
• Ensure front line sales follow required processes
• Drive continuous improvement for seller capabilities and team collaboration

Director of Sales Operations – Enablement, Government Business

Data Engineer

• Integrate, consolidate, cleanse and structure data for use by our analysts
• Analyze, understand and prepare complex and new data sources and incorporate them into project design
• Use analytical insights to develop solutions, improve processes and work with counterparts in the business to implement proposed solutions
• Create SQL and Python Pipelines that are optimized, efficient, repeatable and scalable
• Perform design, creation, and interpretation of large and highly complex datasets
• Utilize AI to accelerate development, optimize code, and create processing documentation for data pipelines
• Understand best practices for data management, maintenance, and reporting and use that knowledge to implement improvements in our solutions
• Develop and implement data quality checks and troubleshoot data anomalies
• Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions

Senior Data Engineer

• Be an integral part of the Data Science Lab team that works closely with internal clients in all phases of prototype development and deployment
• Research innovative data solutions (in distributed cloud computing constrained and unconstrained optimization) to solve real market problems
• Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative product development
• Work with key stakeholders and understand their needs to develop advanced solutions or improve existing solutions around big data and advanced analytics
• Remain current on new developments in AI/Machine Learning, distributed algorithms, Big Data, Predictive Analytics, and Cloud Technology
• Utilize subject matter expertise of data structures, analytics, algorithms/models, and strong computer science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects
• Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise
• Lead the analytical strategy on critical technical capabilities
• Perform as lead technical data scientist for multiple technical and business domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions and asking questions
• Evaluate the technical work of experienced data scientists guiding them on deliverable quality and accuracy

Data Scientist – Specialist

• Fosters and maintains Customer/Partner trust
• Grows Customer/Partner Revenue across the full Equifax Mortgage 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 Mortgage 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

• Act as the Domain Authority: Serve as the primary industry and technical expert for identity and fraud solutions across a high-value portfolio and account base.
• Architect Customized Value Propositions: Lead the strategy, development, and delivery of tailored business cases, technical demos, and clear ROI metrics that align Equifax solutions with the client’s strategic goals.
• Drive Matrixed Revenue Growth: Partner closely with Account Executives and Business Development Executives to proactively identify, advance, and close new business, upsell/cross-sell initiatives, and critical contract renewals within assigned verticals.
• Earn Trusted Advisor Status: Cultivate deep relationships with senior client stakeholders, C-suite executives, and internal account teams by translating business needs into actionable solutions.
• Navigate the Competitive Landscape: Maintain a pulse on industry trends, competitor positioning, and pricing strategies to articulate and aggressively defend Equifax’s unique value levers and market differentiation.
• Be the Voice of the Customer: Act as a critical conduit between clients and Equifax product teams. Gather real-time field feedback to directly influence product improvements, feature development, and future roadmap planning.