Head Data Operations & Analytics - Paypal Ads jobs at Paypal in France

Essential Responsibilities:

• Develop and implement the overall data science strategy, aligning with corporate goals and objectives.
• Lead the design and execution of advanced data science projects to support strategic decision-making.
• Collaborate with executive leadership to identify and prioritize data-driven opportunities.
• Oversee the development and maintenance of data infrastructure, ensuring scalability and efficiency.
• Ensure compliance with data privacy and security regulations.
• Drive innovation in data science practices and tools, staying ahead of industry trends.

Expected Qualifications:

• 10+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• 2 years of experience leading others

• Lead the development of analytics frameworks and dashboards for card network reporting and marketplace signal curation
• Oversee data pipeline architecture, ETL processes, and data delivery mechanisms for external risk signal marketplace
• Build and maintain risk narrative templates and storytelling frameworks for card network partners
• Partner with Risk Partnerships and Product teams to define marketplace signal catalog and quality standards
• Establish team KPIs and manage performance of analytics professionals
• Collaborate with Data Science, Data Engineering, and Risk Operations to source, validate, and deliver risk signals
• Develop long-range analytics roadmap aligned with card network partnership strategy and marketplace growth
• Present insights to senior leadership, card network executives, and potential marketplace customers
• Ensure data quality, accuracy, and compliance in all card network responses and marketplace data products
• Drive innovation in fraud and credit risk analytics methodologies and signal development

What do you need to bring

• Deep expertise in risk analytics for payments, fraud prevention, and credit risk

• Proven experience managing high-performing analytics teams

• Proficiency in SQL, Python, and BI tools (Tableau, PowerBI)

• Experience building scalable data products and API-based delivery mechanisms

• Understanding of data marketplace platforms and B2B data commercialization

• Track record of influencing decisions at the executive level through data insights

• Strong technical acumen to partner effectively with Data Engineering and Product teams

• Experience with cloud data platforms (GCP, Snowflake, or similar)

• Fintech or payments industry experience required

• Familiarity with fraud and credit risk analytics methodologies and signal development

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $188,000 to $323,950

Our Benefits:

Any general requests for consideration of your skills, please

This job participates in complex problem resolution and leads projects of diverse scope requiring an understanding of current business trends. They determine methods and procedures for new or special assignments and drive global process improvements through data-driven insights.

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.

Expected Qualifications:

• 8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

To successfully execute on cross-org initiatives that elevate data engineering, we need a T27 who can innovate, drive technical strategy, and ensure that our systems are scalable, efficient, and aligned with GCSC Risk’s broader goals.

Job Description

As the Senior Staff Engineer, Global Risk Data Management within the Credit Infrastructure and Data organization, you will implement common data practices across functional areas that drives standardization, quality, ease of access, accelerates governance practices by treating data as a product and facilitates a data-driven culture across PayPal where data is considered a strategic asset and treated accordingly-with the proper controls and quality.

Position Responsibilities:

• Must be a self-starter, work independently or as a team member. Proactively remove obstacles to ensure timely delivery of product and goals

• Write clean and solid code that scales overPB of dataand enforce engineering excellence in the organization

• Improve data management efficiency through AI capabilities, better process and best practices

• Embed Privacy-by-Design principles into all data solutions and ensure compliance with regulatory requirements.

• Provide expertise across the data product development lifecycle—spanning data engineering, architecture, and analytics—to design and deliver reusable, accessible, and high-quality data solutions.

• Design data structures and taxonomies that support standardization, integration, and alignment with business processes.

• Deliver technical leadership through analytical thinking, innovation, and detailed specifications.

• Drive data product execution and adoption through a metrics-based approach

• Define and communicate data strategy for credit products, aligned with PayPal’s technical direction, evolving credit strategies, and the external data ecosystem

• Strong product sense to identify data challenges and opportunities, and assess the impact of data-driven solutions

• Leverage enterprise frameworks, governance tools, and reusable architecture patterns for Credit Risk and cross organizations

• Foster influential cross-functional relationships through collaboration, proactive planning, and decisive leadership to design scalable solutions across platforms and products.

Technical Leadership Qualities:

• Strong collaboration skills and ability to influence across all organizations and levels within the company

• Ability to communicate clearly and succinctly to all levels within the organization- translating the organizations goals into execution plans & metrics

• Possess the ability to connect, engage and lead with empathy

• Motivate others through a shared vision and confidence that empowers employees and teams to perform at their best

• Demonstrate ability to delegate work

• Operate with transparency and honesty in all interactions

Qualifications

• 12+ years of experience in enterprise data management, with deep expertise across disciplines including data governance, data architecture, and more.

• Experience with data management and governance tools and technologies

• Experience with enabling data products within large organizations

• Proven experience independently developing and implementing recommended approaches to complex/ambiguous problems while making thoughtful trade-offs

• Deep understanding and hands-on experience in data platforms

• Strong technical acumen, being able to quickly understand technical details of a product or platform

• Strong execution skills-ability to deliver results

• Excellent verbal and written communication and collaboration skills to effectively communicate across diverse groups within PayPal

• Comfortable working in a fast-paced, results-oriented environment

• Shows initiative and exhibits a “can-do” attitude

• Demonstrated willingness to be flexible and adaptable to changing priorities with the ability to motivate in a cross-functional organization

• Able to see the “big picture”-the end-to-end connection points associated with data and systems

• Exhibit a passion for Data Management and Analytics

• Strong business acumen and interest to deeply understand PayPal’s credit use cases, data producers and data consumers’ needs/pain points

Bonus Qualifications

• Familiarity with AI/ML pipelines or AI-enhanced data systems (data discovery, data quality monitoring, or integrating ML into ETL flows)

• Passion for bridging the gap between data engineering and machine learning engineering.

• Experience enabling ML/AI workloads, such as building feature stores, training data pipelines, or model monitoring infrastructure.

• Experience in financial services, with a strong preference for exposure to the credit risk domain.

Education:

• BS or advanced degree in Engineering, Computer Science, or related technical field.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Develop and implement customer-focused, omnichannel campaigns to drive traffic, capture demand, and generate revenue
• Leverage data and technology to optimize marketing strategies and campaign performance
• Collaborate with cross-functional teams to align marketing initiatives with organizational goals
• Identify growth opportunities by analyzing and synthesizing data from multiple sources
• Track, measure, and report program performance, optimizing for efficiency and scalability
• Lead A/B testing and iterative optimization of campaigns and marketing programs
• Optimize team structure and processes to foster a culture of high performance and innovation

Expected Qualifications:

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $100,500 to $173,250

Our Benefits:

Any general requests for consideration of your skills, please

This job independently collaborates within the organization to enhance the quality, efficiency, and effectiveness of processes and programs. They operate outside of defined processes to determine appropriate actions while considering alternative solutions. This role operates within the global risk management organization governing strategic initiative investment, rationalization, and coordination amongst business operations peers and functional leaders.

Essential Responsibilities:

• Independently plan and execute operational processes.
• Collaborate internally to optimize workflows and drive process improvements.
• Influence the quality, efficiency, and effectiveness of business processes.
• Determine appropriate actions while considering alternative solutions.
• Provide oversight and support for planning and management of financial, budget, and headcount targets.
• Act as a liaison between business leadership, staff, and other key partners.
• Create, analyze, maintain, and report on performance measures and key performance indicators (KPIs).

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Our Benefits:

Any general requests for consideration of your skills, please

As a People Analytics BI Developer, you’ll leverage your expertise in Oracle SQL and Tableau to transform data into meaningful insights, enabling the organization to explore “the art of the possible.” You’ll collaborate with business teams to gather requirements and design scalable solutions, translating complex datasets into intuitive dashboards that drive decision-making.In this role, you’ll:Organize, clean, and transform data using SQL for Tableau integration.
Develop interactive dashboards, empowering users to explore their data.
Troubleshoot, innovate, and enhance existing reporting solutions.

Essential Responsibilities:

• Performs SaaS and enterprise-wide applications assignments using specialized enterprise systems knowledge and developed business expertise
• Leads enterprise-wide applications projects and/or programs within PayPal with moderate scope impacting information technology or enterprise systems functions
• Analyzes, evaluates, and makes decisions within general parameters under broad supervision
• May act as an enterprise systems resource for entry level and developing colleagues

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

• Proficiency in Oracle SQL and Data Visualization Tools : Expertise in Oracle SQL and Tableau, with a strong ability to design and deliver impactful dashboards. Familiarity with other tools like Power BI is a plus.

• Adaptability and Problem Solving : Comfort working in fast-paced environments with uncertainty and rapidly changing priorities, combined with the ability to troubleshoot and develop scalable, reusable solutions.

• Adopting AI and Advanced Analytics : A forward-thinking approach to leveraging AI and machine learning tools to enhance data analysis and visualization, boosting efficiency and uncovering deeper insights.

• Business Acumen and Communication Skills : Ability to translate complex business needs into innovative technical solutions while engaging stakeholders with clear, actionable insights.

• Global Collaboration : Proven experience working effectively across time zones and with diverse teams, fostering communication and aligning solutions to global business goals.

Belonging at PayPal:

Any general requests for consideration of your skills, please

This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

-Strong analytical and problem-solving mindset, with a degree in a quantitative field such as Data Science, Computer Science, Engineering, Statistics, Mathematics, Economics, or a related discipline
-4+ years of experience in Product Data Science, including A/B testing and experimentation, advanced analytics, and applied machine learning-Advanced proficiency in SQL and Python, with expertise in working with large-scale, complex datasets to derive actionable insights-Hands-on experience with modern data tools and platforms such as Jupyter Notebooks, BigQuery, Teradata, Hadoop, or Hive is highly desirable
-Exceptional communication and data storytelling skills, with the ability to distill complex findings for both technical and non-technical audiences and influence cross-functional decision-making-Prior work experience inanalytics space would be highly valued

Our Benefits:

Any general requests for consideration of your skills, please

•Apply strategic and data analytics skills to solve problems in the PayPal Global Risk Management team. Work with stakeholders across different teams such as Product, Platform, Machine Learning, Operations to drive strategic initiatives.

Essential Responsibilities:

• Develop and implement data science models and algorithms.
• Analyze and interpret complex data sets.
• Ensure data quality and integrity.
• Collaborate with stakeholders to understand data requirements.
• Optimize data processes for efficiency and performance.
• Perform advanced statistical analysis and reporting.

Expected Qualifications:

• 1+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

• Provide analytical insights into problems, emerging trends and changes to portfolio
• Drive projects end to end from ideation to implementation in a time sensitive and efficient manner
• Identify new opportunities and continuous improvement to contribute to the team’s KPIs and targets
• Work closely with business partners and stakeholders to determine how to design analysis and measurement approaches that will significantly improve our ability to understand and address emerging business issues
• Effectively managing relevant stakeholders through the lifecycle of a project by effectively understanding the various needs, priorities and perspectives in order to drive for a solution
• Preferred Qualifications
• Proficiency using SQL and querying relational databases
• Experience in at least one statistical programming language (SAS, R, Python)
• Familiarity with reporting tools (Tableau, Power BI or Qlik) is highly desired.
• Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting, NLP, etc.
• Experience with structuring analyses to solve business problems using data and analytics tools and techniques

Belonging at PayPal:

Any general requests for consideration of your skills, please