Senior Vice President, Data Science & Analytics at Experian

You're an accomplished data leader with at least 15 years of experience shaping business-driven data strategies and leading teams, ideally with an MBA or equiva

Work type: remote

Location: United States

Salary: $325,000 – $425,000/yr

Type: Full-time

Summary

You're an accomplished data leader with at least 15 years of experience shaping business-driven data strategies and leading teams, ideally with an MBA or equivalent in a data-related field. **What makes it worth a look...** This fully remote Senior Vice President, Data Science & Analytics role at Experian offers a competitive salary of $325,000 - $425,000 annually, with comprehensive executive benefits and flexible time off including unlimited vacation. **You might be a good fit if you...** * Possess substantial depth in data technology, understanding architecture, lifecycles, and tools. * Have a proven track record of implementing advanced analytics, machine learning, and AI for business transformation. * Can define and execute data strategies, leading teams to build world-class data capabilities.

Job Description

## 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

• 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 

• 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

• 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](https://yourexperianbenefits.com/cand-index.html)

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.

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