Senior Director, Analytics

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November 27

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Experian

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Artificial Intelligence • B2B • SaaS

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

10001 employees

Founded 1996

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

📋 Description

• Lead the assessment of new data sources, including coverage, quality, compliance, and commercial potential. • Define and lead the consumer-permissioned data strategy from an analytics perspective, ensuring regulatory compliance and business understanding. • Develop valuation frameworks to guide investment in and acquisition of data assets. • Build and deploy statistical, predictive, and machine learning models to extract relevant insights from data. • Partner with Product teams to translate evaluated data opportunities into high-value features and scalable products. • Design compelling visualizations and dashboards in Tableau to communicate findings to executives, clients, and strategic partners. • Work with the M&A team to assess the data value of acquisition targets and support due diligence processes. • Present clear, data-backed business cases to inform executive decision-making. • Lead client-facing meetings to present analytical findings, demonstrate product capabilities, and guide solution adoption. • Develop analytics teams, promoting a culture of innovation, and measurable impact.

🎯 Requirements

• Master's degree in a technical field such as Data Science, Computer Science, Statistics, Engineering, or a related discipline • 10+ years of industry experience in analytics, data strategy, or related fields; minimum 5 years in a leadership role • Proven experience evaluating, monetizing, and integrating data assets • Technical expertise in Python, SQL, Tableau, and experience with AWS • Background in statistical modeling, machine learning, and data monetization strategies.

🏖️ Benefits

• Great compensation package and bonus plan • Core benefits including medical, dental, vision, and matching 401K • Flexible work environment, ability to work remote, hybrid or in-office • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays