Vice President, Business Data Strategy

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

This position will be supporting Experian Consumer Services (ECS) - a passionate and innovative team with a mission to provide Financial Power to All™ by redefining the consumer experience related to credit access, financial well-being and safety.

As Vice President of Business Data Strategy, you will sit at the forefront of data, media and consumer trends and work as part of and in collaboration with the leadership team to define, implement and scale an overarching business data strategy in service of driving consumer value and increasing engagement and monetization. By aligning user-centric data innovation with scalable monetization strategies, the Vice President of Business Data Strategy will help drive transformation and achieve our mission of providing Financial Power to All. This role will report to our Chief Business Officer and lead a specialized team of data experts responsible for shaping the vision and execution of our data strategy, pioneering innovations that enhance user experiences, delivering measurable outcomes for partners, and fueling business growth.

What you'll be doing:

Business Data Strategy:

• Define and execute our long-term data strategy to optimize data collection, management, and utilization. in service of driving greater consumer engagement and scaling new data monetization opportunities
  • Develop a near term and future vision of how data will impact the industry and our view of the role of data as an asset
  • Understand and articulate a strategy at the intersection of data and media, specifically tied to how companies with "digital storefronts" are transforming to media companies in order to drive engagement and maximize revenue growth / margins
• Champion the implementation of tools and platforms to advance data architecture and harmonize data pipelines and platform infrastructure across consumer website / apps, retail media, and lead-generation systems in collaboration with engineer team
• Partner with CRM, Content and Product to explore novel ways to use first-party data to build competitive advantage while ensuring ethical use and compliance standards
• Lead data-driven solutions initiatives: from ideation to solutions design and monetization / GTM in partnership with Product, Marketing and Marketplace

Data Partnerships + Innovation:

• Oversee data partnerships budget and acquisition strategy
  • Evaluate data signal needs and develop / execute partnership roadmap for 3rd party data assets and priority integrations
  • Develop build, buy, and partner strategy for the data acquisition
  • Build partnerships with external data providers, research institutions, and technology firms to expand our data capabilities
  • Partner with external media and technology partners and thought leaders to pilot advanced data-driven media solutions and expand our data capabilities
• Lead cross-BU partnership engagements specific to data opportunities
• Work with Marketing / Media team to test / co-create data-projects with key media players
• Define and lead the data innovation roadmap in partnership with product and technology, integrating new technologies such as artificial intelligence (AI), machine learning, and predictive analytics to stay ahead of industry trends
• Build frameworks for data-driven experimentation and monetization, encouraging a culture of innovation across the organization and accelerating time to market for new opportunities

Monetization & Business Growth:

• Lead efforts to expand our data monetization capabilities, including predictiv