Full-Time Senior Director, Analytics (Remote)
Experian is hiring a remote Full-Time Senior Director, Analytics (Remote). The career level for this job opening is Senior Manager and is accepting United States based applicants remotely. Read complete job description before applying.
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We are looking for a visionary yet hands-on Senior Director to lead the evaluation of new data assets and our consumer-permissioned data strategy from an analytics perspective. Requires senior team member influence and technical fluency.
You will report to the VP of Analytics Product Build, Innovation and Scores and work remotely from the United States.
Responsibilities- Data Asset Strategy & Evaluation: 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. Develop valuation frameworks to guide investment in and acquisition of data assets.
- Analytics & Product Innovation: 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.
- M&A Support & Business Case Development: 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.
- Leadership & Client Engagement: Lead client-facing meetings to present analytical findings and guide solution adoption. Develop analytics teams, promoting a culture of innovation. Be an expert on new data trends, regulatory developments, and monetization strategies.
- Master's degree in a technical field.
- 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.