Senior Manager, Product Data Analyst

Frontify

We're all about helping brands turn ideas into impact. Frontify’s brand platform transforms how teams organize digital assets, collaborate on projects, and create engaging campaigns. Our people empower thousands of marketers and designers — including teams at Uber, Microsoft, Volkswagen, and Telefónica — to build engaging brands. With headquarters in St. Gallen, Switzerland, and offices in London and New York City, we share a vibrant culture built on creativity, collaboration, inclusion, and joy. And we’re on the lookout for new team members to share our vision. If you’re ready for a brand-new adventure, keep reading! Your team Your new team is a group of motivated, collaborative, and innovative Engineers. Working on-site, hybrid, or fully remote, they come together to create and evolve a well-loved product but always keep room for new ideas and approaches. Outside of work, they’re parents, gamers, bookworms, adrenaline junkies, and so much more. Your mission As a Senior Backend Engineer working in the Developer Experience team, you’ll take on a challenging role in collaborating with product managers, stakeholders, and fellow engineers to build and optimize a dynamic, scalable, and high-impact platform.   Our team takes pride in creating seamless user experiences while ensuring the underlying systems are efficient, robust, and extendable. You'll contribute to architectural decisions, and drive technical excellence across the stack with emphasis on the Backend at scale.   You'll contribute to the evolution of our platform, ensuring efficient data structures, clear API interfaces, building and evolving developer tools and framework, supporting platform extensibility and scale third-party integrations.   Your work will encompass API design and implementation, ensuring high-quality code with well-defined testing strategies and having a scalability mindset. Your expertise in API design, scalability and understanding of public facing interfaces will be instrumental in enhancing our platform’s reliability and extensibility.

Contentsquare

Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers’ whole online journey.   We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We’re here to stay—and we’re looking for team members who are excited to drive impact and help us scale even further.   Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler—for our customers, their customers, and each other.   Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. Any communication from our in house Talent Acquisition team will only ever come from our contentsquare.com or @contentsquare-ext.com domain. For more information, visit our careers blog. As a Product Data Analytics Senior Manager, you will lead and develop a team of three analysts dedicated to our core product for all sales-driven business (another data analytics manager handles our self-serve initiatives). In close collaboration with the SVP of Product, you will leverage data with your team to drive strategic decision-making and optimize product performance. This role is integral to our product team, ensuring data-driven decisions guide our product strategy and innovation efforts.    You’ll join the Product Insights department, composed of the Product Data Analytics team and Product Research team. In charge of having a 360 customer knowledge view, we combine quantitative and qualitative insights to inform the product roadmap.  Reporting to the Senior Director of Product Insights, you will ensure your team is aligned with the broader company goals and operates with the velocity required to influence strategic decision-making. 

Tripadvisor

About Tripadvisor We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively revolutionize travel and together find the good out there. Tripadvisor is the world’s largest online travel site, visited by 390 million travellers each month, and our Experiences business, Viator, is a fast-evolving and highly data-driven part of the organisation. At Viator, data is at the heart of how we build great products. We use it to understand our customers, improve decision-making, and drive measurable business impact.   About the role: As a Senior Manager of Product Data Science, you will be a key leadership figure within the Product Data Science organisation, responsible for building and scaling a high-performing team of Analysts and Data Scientists embedded within Product domains. You will not only deliver impact through your team, but also raise the overall analytical and technical bar of the organisation, ensuring data science, experimentation, and product analytics are consistently applied at a high standard across multiple product areas. You will act as a force multiplier for decision-making quality, improving how Product, Engineering, Design, and Commercial teams use data to shape strategy, prioritise work, and evaluate impact. What You’ll Do  * Lead, develop, and grow a team of Product Analysts and/or Data Scientists, ensuring consistently high performance, strong technical standards, and clear ownership of impact. * Drive effective goal-setting, planning and execution processes across Product Data Science, bringing leadership and discipline to OKRs, prioritisation and delivery against strategic objectives.  * Set and continuously raise the bar for analytical quality, experimentation rigour, and data science application across your teams, ensuring outputs are robust, actionable, and decision-oriented. * Act as a senior technical and strategic leader, reviewing and shaping high-impact analytical work, experimentation design, and advanced modelling approaches where required. * Partner closely with senior Product, Engineering, Marketing, and Commercial leaders to define priorities, shape roadmaps, and ensure data science is embedded in strategic decision-making. * Translate ambiguous business problems into structured analytical and data science problems, ensuring your team delivers clear, commercially meaningful recommendations. * Drive adoption of scalable analytical frameworks, experimentation standards, and AI-enabled tooling to improve efficiency, consistency, and speed of decision-making across teams. * Champion best practices in experimentation, causal inference, segmentation, and customer understanding, ensuring statistical and analytical rigor across the organisation. * Build and maintain strong partnerships with Data Platform, Data Engineering and other central data functions, ensuring the team can effectively leverage shared capabilities while influencing the long-term data ecosystem.  * Build and evolve the team’s capability through hiring, coaching, and performance management, ensuring strong technical depth and leadership within the function. * Identify and remove systemic blockers to high-quality analytics delivery, improving tooling, processes, ways of working and organisational effectiveness across Product Data Science while leading change that enables the team to scale.  * Influence and align cross-functional stakeholders across multiple product domains, ensuring clarity, prioritisation, and strong decision-making discipline.   Skills & Experience  * Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. * Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering).  * Product Acumen: Demonstrated ability to define, implement, and operationalise crucial product and feature-level metrics from scratch.  * Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design).  * Scaling Impact: Experience scaling analytics or data science capabilities, driving impact through the creation of automated processes, self-service tools, or data products.  * Critical Thinking: Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation.  * Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists.  * Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels.  * Cross-Functional Partnership: Proven ability to build strong relationships and drive outcomes across Product, Engineering, Data Platform and other central functions, often without direct authority.  * Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.    You could be an especially great fit if you have: * Experience working within a high-scale technology company, marketplace, e-commerce business, or travel technology organisation. * A strong technical background in Product Data Science, Data Science, Experimentation, or Machine Learning before moving into leadership roles. * Experience building and scaling experimentation platforms, measurement frameworks, self-service capabilities, or data products. * Experience applying AI, Large Language Models (LLMs), Agentic AI, or automation technologies to improve analytics productivity and decision-making effectiveness. * Experience leading organisational change, improving analytical maturity, and raising standards across multiple teams or functions. * A reputation for raising the standard of thinking, execution, and decision-making in every team and organisation you join.       #LI-Remote #LI-SM1         #LI-Hybrid #LI-SM1