Head of Data Operations & Analytics - PayPal Ads

PayPal • Chicago, IL

78d • $152,500 - $262,350 • Hybrid

About The Position

Operational leader for all data operations, analytics, and measurement execution within PayPal Ads. You have outstanding analytical skills with an execution mindset, validated hands-on experience as both practitioner and leader, a passion for delivering reliable data solutions, and deep expertise in advertising data architecture.

Requirements

• Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Previous management experience.

Nice To Haves

• Deep understanding of advertising ecosystem including advertiser needs, attribution models, audience targeting, incrementality measurement, and advertising data architecture.
• Experience with advertising analytics tools and methodologies (e.g., experimentation frameworks, lift studies, multi-touch attribution, statistical analysis, SQL, Python/R) as well as data visualization tools (e.g., Tableau, Looker).
• SMB-focused analytics experience with deep understanding of small and medium business advertising needs, self-serve platforms, and scalable measurement solutions.
• Strong technical background in data engineering, ETL processes, and modern data stack (e.g., BigQuery, Teradata, Hadoop/Hive, cloud platforms).
• Analytical and critical thinking skills coupled with the ability to create compelling data narratives and build deep relationships with advertiser stakeholders and C-level executives.
• Exceptional stakeholder management abilities - can build relationships across broad organizations, work with external advertiser clients, and communicate effectively with both technical and business audiences.
• Customer-obsessed mindset focused on advertiser success, particularly SMBs, while building great experiences for PayPal users across all platforms.
• Business outcome focus - experience building and optimizing advertising business metrics, campaign performance KPIs, and revenue growth initiatives.
• High standards and bias toward action - can navigate complex advertising ecosystem requirements, drive clarity in measurement approaches, and maintain high delivery standards.
• Exceptional communication skills for presenting to advertisers, leadership, and cross-functional partners.
• Experience with privacy and data governance in advertising contexts, including GDPR, CCPA, and platform-specific privacy requirements.

Responsibilities

• Lead complex data engineering projects, ensuring they meet business objectives and deliver actionable insights.
• Develop advanced data architectures and pipelines to analyze large datasets and solve complex business problems.
• Collaborate with senior leadership to identify data-driven opportunities for business growth and efficiency.
• Implement best practices for data management, analysis, and visualization.
• Ensure data governance and compliance with relevant regulations and standards.
• Provide mentorship and technical guidance to the data engineering team.

Benefits

• Flexible work environment
• Employee shares options
• Health and life insurance
• Annual performance bonus
• Equity compensation
• Medical, dental, and vision benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees