PayPal
Head of Data Operations & Analytics - PayPal Ads
PayPal, Chicago, Illinois, United States, 60290
Data Operations Leader
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. Essential 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. Minimum Qualifications: Minimum of 12 years of relevant work experience and a Bachelors degree or equivalent experience. Previous management experience. Preferred Qualification: Deep understanding of the 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 a 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.
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. Essential 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. Minimum Qualifications: Minimum of 12 years of relevant work experience and a Bachelors degree or equivalent experience. Previous management experience. Preferred Qualification: Deep understanding of the 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 a 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.