Senior Vice President, Data Science & Analytics at Experian

Madison, Mississippi, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Jul, 26

Salary

425000.0

Posted On

16 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data science, Analytics strategy, Machine learning, Artificial intelligence, Predictive modeling, Data architecture, Strategic leadership, Change management, Business acumen, Stakeholder management, Data governance, Innovation strategy, Cloud-based software, Research, Decisioning, Financial services

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com Job Description The Senior Vice President, Data Science & Analytics (North America) will have holistic responsibility for all data science and analytics functions of the Financial Services & Data business. The role reports directly to the Chief Product and Analytics Officer of Financial Services & Data, and is the catalyst for transformation within the business, helping to evolve the way Experian provides insights to support existing customers and drive innovation. Our Financial Services & Data (FSD) business powers decisioning and innovation across the financial ecosystem. We partner with leading banks, fintechs, and capital markets firms to deliver trusted data, advanced analytics, and cloud-based software that help clients make smarter, faster, and more confident decisions. This leader will direct the development of analytics, data science, research, and innovation strategies. The role blends strategic vision with hands‑on expertise: defining how AI and analytics are used across our products, designing future‑ready solutions aligned to business strategy, and balancing growth with risk. We’re looking for a leader with strong business and technical acumen, deep data and analytics expertise, and a proven ability to inspire teams, build trust with diverse stakeholders, and lead effective change in a large‑scale, data‑driven environment. Key responsibilities of this role include: Define and implement the Analytics strategy and communicate that strategy to company executives, external partners and customers. Lead and inspire a team of data professionals who will create and develop a world class data capability Implement models and ML/AI to fuel new product features, improve operational quality, and create a personalized experience for Experian’s customers and partners. Steward of data as a strategic business asset, revenue driver and source of risk mitigation for Experian Identify trends and evolving user behavior that may support or impede our investments, and drive innovation that leverages key technology trends Oversee the development of the requirements, principles, models and designs of data applications or use cases Evaluate emerging trends such as big/open/linked data, ML/AI, and determine the impacts on the future-state enterprise data architecture. Partner consultatively with leaders in product management, sales, marketing, technology, and delivery to provide analytics insights that improve efficiency and effectiveness. Conduct research and case studies on our competitors’ analytics and other relevant leading edge trends to make determinations on the probability of their usefulness Contribute to the broader leadership agenda on an ongoing basis as a member of the business unit leadership team Qualifications Leadership Attributes Proven track record of building a high-performance culture focused on quality and innovation Able to lead several programs at once - setting priorities, collaborating cross-functionally, ensuring success metrics are informing future efforts, and quickly fine tuning the program as needed Excellent decision-making, presentation skills and strong influencing skills to be able to interface and articulate our technical capabilities to our clients, and leadership Outstanding intellectual acumen with a natural willingness to engage in constructive & transparent discussions, acting as a true thought partner to the Group President and peers Ability to inspire others by actively communicating and motivating all levels of employees with vision, clear execution priorities & support of BU direction Strategic thinker who can understand competitive context to drive positive current period results while investing for a better future Education and Experience Minimum of 15 years’ experience in developing and leading business-driven data strategies and progressive management and leadership experience Substantial depth of knowledge in Data Technology with a detailed understanding of the technology architecture, data development lifecycle and data tools and technologies. Experience with advanced data analytics, predictive models, machine learning, and artificial intelligence. Experience implementing data and platform strategies to deliver transformative evolution to the business MBA or equivalent experience in Data Science, Analytics or other analogous fields Additional Information Benefits/Perks: Comprehensive executive level total rewards package Ability to work remotely in the US, hybrid, or in-office. #LI-Remote Flexible time off including unlimited vacation, volunteer time off, and 12 paid holidays Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. Innovation is an important part of Experian's DNA and practices, and our inclusive workforce allows everyone to succeed and bring their whole self to work. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Employee Status: Regular Executive Salary Range: $325,000 - $425,000 Role Type: Hybrid Job Posting - Salary Range: See Executive Salary Range Department: Analytics Flexible Time Off: Unlimited Schedule: Full Time Shift: Day Shift Compensation: USD 325000 - USD 425000 - yearly

Responsibilities

The Senior Vice President will lead all data science and analytics functions, defining strategies to drive innovation and transformation within the Financial Services & Data business. They will oversee the development of AI/ML models, manage data as a strategic asset, and partner with cross-functional leaders to deliver actionable insights.