About the Position
The Senior Director, Digital and AI Analytics leads the University's digital analytics strategy, focusing on how AI-driven changes in search, customer behavior, and the digital landscape impact acquisition, conversion, and business performance. The individual directs complex analytical investigations, identifies emerging risks and growth opportunities, and translates insights into actionable recommendations to inform executive decision-making. The individual leads and develops the digital analytics team, establishes strategic priorities, and builds analytical capabilities to drive business performance and growth.
What You'll Do
1. Evaluate the impact of artificial intelligence on search, digital discovery, customer engagement, and acquisition. Analyze changes in search visibility, competitive positioning, consumer behavior, and conversion to identify emerging trends and implications for business performance.
2. Lead the University's digital analytics function, and the strategic priorities, measurement frameworks, and analytical roadmap, with an emphasis on understanding the impact of artificial intelligence on customer behavior and business performance.
3. Lead complex analytical investigations to identify performance drivers, quantify business impact, assess potential outcomes, and recommend strategies to address declining performance or capitalize on growth opportunities.
4. Develop and present strategic insights, business cases, and actionable recommendations related to completed analytical investigations to inform executive leadership decisions regarding investment priorities, marketing strategies, and business decisions.
5. Direct analysis of the end-to-end digital customer journey, from initial discovery and engagement through conversion and downstream business outcomes. Identify opportunities to improve marketing effectiveness, customer experience, and acquisition performance.
6. Apply advanced analytical methodologies, including attribution, experimentation, predictive analytics, and behavioral analysis, to assess marketing effectiveness, identify performance drivers, and evaluate potential business outcomes.
7. Partner with Marketing, Product, Data Science, and technology teams to determine analytical requirements, strengthen data foundations, and develop scalable measurement and analytical capabilities.
8. Establish analytical standards, performance measures, and reporting practices for the digital analytics function that ensure consistent, reliable insights. Oversee digital analytics platforms, tools, and external partners to support business and measurement requirements.
9. Select, mentor, coach, and evaluate staff; establish and monitor employee performance objectives; conduct performance discussions and regular check-ins; and provide coaching, development, and corrective action, as appropriate.
10. Perform other duties as required or apparent.
Supervisory Responsibilities
Directly supervises analytics professionals and may oversee external analytical and technology
Minimum Education and Related Work Experience
• Master’s degree in Analytics, Data Science, Statistics, Marketing, Business, Computer Science, or a related field.
• Ten (10) years of progressive experience in digital, marketing, customer, or business analytics, including experience leading analytical teams and complex cross-functional initiatives.
• An equivalent combination of education and experience may be considered
Additional Qualifications
• Extensive knowledge of digital and web analytics, search engine optimization (SEO), search engine marketing (SEM), digital conversion funnels, customer journey analytics, and conversion optimization.
• Strong understanding of traditional and artificial intelligence-driven search, including emerging discovery channels, competitive visibility, consumer behavior, and implications for customer acquisition.
• Advanced analytical capabilities in funnel and behavioral analysis, experimentation, attribution, correlation, incrementality, and predictive analytics.
• Strong hands-on expertise with Adobe Analytics, Adobe Customer Journey Analytics, and/or Google Analytics, along with business intelligence and data visualization tools.
• Working knowledge of structured query language (SQL), artificial intelligence, machine learning, and large language model (LLM) applications in analytics.
• Demonstrated experience building or transforming analytics functions, including establishing organizational structures, measurement frameworks, operating practices, and scalable analytical capabilities that support strategic business decisions.
• Demonstrated ability to independently conduct complex analyses, identify and quantify business risks and opportunities, and translate findings into strategic recommendations that influence executive-level decisions.
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Job details are sourced from the employer's original posting.
Open job postingAbout the company
UOP is a process technology and engineering company providing licensing, catalysts, adsorbents, and services for the petroleum refining, petrochemical, and gas processing industries.