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Experian

SVP, Product Management - Analytics Platform

Posted Yesterday
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Remote
Hiring Remotely in United States
Expert/Leader
Remote
Hiring Remotely in United States
Expert/Leader
The SVP will lead product management for Experian's analytics platform, overseeing strategy, development, and client engagement while driving innovation and cross-functional collaboration.
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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, Product Management - Analytics Platform (North America) is responsible for defining and executing the strategy for our financial services software and platform ecosystem. This is a defining leadership opportunity to shape the core analytical platform that underpins Experian's Financial Services & Data business. You will influence how the world's leading financial institutions access, analyze, and activate data — driving innovation that transforms risk management, credit decisioning, and capital markets intelligence.

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.

Our mission is to help clients unlock the power of Experian's data and analytics through our modern platform solutions.

This role blends technical acumen with strategic business leadership—overseeing end-to-end product lifecycle management and ensuring that Experian's software platforms deliver measurable client impact, scalability, and innovation across the North American market.

The SVP will drive cross-functional alignment across technology, analytics, and commercial teams, ensuring Experian remains at the forefront of data-driven financial services transformation.

Strategic Vision & Platform Leadership

  • Define and execute the software and platform strategy for Experian's North American financial services portfolio, aligning technology capabilities with business growth priorities.
  • Translate market trends, client feedback, and emerging technology opportunities into actionable product strategies that enhance Experian's competitive edge

Product Innovation & Delivery

  • Lead the full product lifecycle from ideation, design, and delivery of software and data platforms that enable scalable, high-performance solutions for clients and partners.
  • Partner with Technology, Data, and Analytics leaders to ensure products are technically sound, secure, performant, and compliant with client and regulatory expectations.
  • Embed a culture of experimentation and product discovery, ensuring teams validate assumptions and deliver measurable client and business value.

Client and Market Engagement

  • Engage directly with clients, including banks, lenders, and capital markets participants, to deeply understand their analytical, data, and decisioning workflows 
  • Build strong partnerships with go-to-market and client success teams to ensure product adoption, client satisfaction, and measurable business outcomes.
  • Represent Experian externally as a thought leader on analytical platforms, data innovation, and applied AI in financial services.

Technology Execution

  • Oversee product development life cycles, leveraging agile methodologies and modern engineering practices to accelerate time-to-market and ensure platform reliability and compliance.

Cross-Functional Collaboration

  • Partner with global technology, data, and go-to-market teams to ensure seamless platform integration, adoption, and commercial success.
  • Partner with peers across Engineering, Analytics, and Commercial to align product priorities with enterprise goals.

Team & Talent Development

  • Lead and develop a high-performing team of Product Managers and Product Directors, fostering a culture of curiosity, accountability, and cross-functional collaboration.
  • Drive adoption of modern product management practices, including OKRs, agile methodologies, and data-informed decision making.

Operational Excellence & Value Realization

  • Establish performance metrics and KPIs that connect platform investments to business outcomes, ensuring sustained value delivery.

Qualifications

  • 15+ years of progressive experience in software product management and platform strategy, ideally in financial services or data-intensive industries.
  • Proven success in building and scaling cloud-based, data, or analytics platforms across large enterprises.
  • Strong understanding of modern software development practices, APIs, and data architectures.
  • Demonstrated ability to balance technical depth with strategic business insight.
  • Track record of leading large, distributed, and cross-functional teams.
  • Experience driving product strategy and execution in a highly regulated, data-intensive environment.
  • Demonstrated success in client-centric product delivery — converting complex analytical and data needs into scalable, configurable solutions.
  • Strong commercial acumen; able to shape pricing strategies, and support market expansion.
  • Inspirational leadership with a hands-on product mindset, capable of coaching and mentoring teams at all levels.
  • Bachelor's degree in a technical, quantitative, or business field (e.g., Engineering, Computer Science, Data Science, Economics). Advanced degree (MBA, MS) preferred.

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.

Top Skills

APIs
Cloud-Based Software
Data Analytics

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