Vice President, Data and Analytics, Identity and Fraud

About the Role

Key Responsibilities

• Influence Equifax's identity & fraud business strategy and lead the alignment of data & analytics initiatives with that business strategy
• Stay ahead of market trends by anticipating customer needs and utilizing AI and other new technologies to create forward-thinking solutions that solidify Equifax's market leadership
• Work closely with strategic customers to gain insights into new fraud threats, develop targeted solutions, and assist customers in testing and adopting identity verification and fraud detection products
• Drive the integration of data and analytics insights into the product roadmap, working closely with product managers to prioritize new features and products
• Design and lead development of AI applications to streamline internal and external processes like data product development and fraud investigations
• Serve as a technical leader for the data science and machine learning engineering teams, guiding the design and delivery of complex models and solutions with team leaders
• Collaborate with sales and marketing to develop and execute go-to-market plans including product positioning, target customer segments, and customer testing/adoption strategies
• Serve as a key partner to the marketing team, providing data and insights to create compelling, data-driven marketing materials that drive demand
• Organize the team to balance and deliver on demand generation, customer engagement, product development, and solution delivery needs
• Lead development, delivery, maintenance, and monitoring of AI/ML products in the portfolio
• Collaborate with technology, platform, and other D&A teams to ensure capability roadmaps incorporate the requirements of the identity & fraud business

Requirements

• Minimum Bachelor's Degree in a related field of computer science, data science, applied mathematics or other related degrees (advanced degree preferred)
• Minimum 10 years of experience in managing data science teams and in support of revenue generating organizations
• Minimum 7 years in developing and using rich and diverse data sets to develop models and data products
• Understanding of the payments lifecycle and consumer credit originations processes; ability to monetize that knowledge through sale of products/services that address customer pain points and business needs
• Excellent problem solving skills with the ability to design algorithms, including data cleaning, data mining, data clustering, machine learning, and pattern recognition methodologies
• Strong skills in statistical analysis with abilities in advanced data management, data science, natural language processing, AI, and machine learning
• Expertise in identity and fraud detection, risk modeling, causal analysis, and pattern recognition

Nice to Have

• 5+ years within the heavily regulated financial services industry
• Experience developing and delivering agentic and generative AI solutions