Senior Product Owner Analytics Engineering
Amsterdam, NH, Netherlands
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Rituals
Rituals ช่วยให้คุณช้าลงเพื่อค้นหาความสุขในเรื่องเล็กๆ น้อยๆ เรามุ่งมั่นที่จะเปลี่ยนกิจวัตรประจำวันให้เป็นพิธีกรรมที่มีความหมายมากขึ้นในประเทศไทยJob Description
Join our Analytics team as a Senior Product Owner for Analytics Engineering and shape the of building the central analytics platform that will fuel our global growth.
You’ll be at the heart of our transformation, shaping the product vision for our cutting-edge Analytical Data Hub (ADH) and pioneering what comes next. This is a unique opportunity to blend your passion for product leadership with your deep understanding of data, leading the delivery of analytics capabilities that create real business value. You will be responsible for a product that is at the core of our company's strategy, consolidating all data and metrics for reporting, analytics, marketing activation, and future AI models. The ADH will be the springboard for AI deployment and conversational analytics as it helps capturing unified definitions and makes data readily available for consumption.
Your role
As the Senior Product Owner for Analytics Engineering, you are the strategic force behind what we build and why. You will own the product vision and roadmap for the ADH, our central hub for analytical data. The analytical data covers all the needs from our growing company: from daily sales and CRM loyalty performance, to Supply Chain, HR, Finance and Sustainability data. Your mission is to translate complex business needs into a clear, prioritized backlog that empowers our engineers to build scalable, future-proof solutions.
As Senior Product Owner Analytics Engineering, you will lead the evolution of ADH as the cornerstone of our data landscape, while safeguarding the quality, stability, and reliability of the underlying data pipelines owned across the data teams. You will work across value streams to manage dependencies, align priorities with stakeholders, and tackle system and domain layer complexities originating from source systems owned by different teams. So you will:
- Define and drive the product vision: you will create, own, and communicate the strategic roadmap for the analytical data hub. Your vision will extend towards the future of Analytics at rituals, pioneering capabilities like conversational analytics.
- Own the backlog: you will manage and prioritize the product backlog, balancing the strategic build of the ADH with ongoing business requests to ensure our existing and new analytics solutions deliver value.
- Lead through collaboration: you will be a key member of the Analytics Engineering team, working alongside another product owner, an engineering manager, and a staff engineer. Together, you will shape our strategy and build strong partnerships across the organization, collaborating closely with other data product teams, the enterprise data platform (EDP) team, and the Reporting & Analytics teams to create a cohesive and powerful analytics ecosystem.
- Bridge business and technology: you will act as the primary liaison between the Analytics team and key stakeholders across the business—from end-users to director-level leadership. You make the complex simple and ensure everyone is aligned.
- Champion product excellence: you will advocate for best practices in agile development, data governance, and product management. You will also mentor others, helping to elevate the product mindset and practices within the team and the wider department.
- Manage complex dependencies: you will navigate the broader data ecosystem, collaborating closely with teams like the enterprise data platform (EDP) and other data product owners to ensure seamless integration and efficient delivery.
Qualifications
You are a seasoned product leader with a passion for data's potential. You think strategically, act decisively, and thrive in a dynamic environment where you can make a tangible impact. You are excited by the challenge of building something foundational and new.
- You have a strong product mindset, backed by 5+ years of experience as a Product Owner, with a specific focus on the data, analytics, or data engineering domain.
- You are a visionary thinker, able to define a compelling product strategy and translate it into an actionable roadmap that inspires the team.
- You have proven experience managing senior stakeholders, navigating organizational complexity, and making data-driven decisions under pressure.
- You possess a deep understanding of analytics and modern data technologies and principles, including cloud data warehousing (GCP is a plus), data transformation (dbt), orchestration (e.g., Cloud Composer/Airflow), and data modeling.
- You embody the Agile mindset, valuing iterative progress, continuous feedback, and collaborative problem-solving.
- You have a bachelor's or master's degree in a relevant field.
Our offer
You will be part of the Data, Analytics & AI team within Business Technology, reporting to the Head of Analytics. This role offers a unique platform to shape the future of analytics at one of the fastest-growing beauty brands.
We offer:
- Strategic leadership role: This is not just about managing a backlog; it's about owning a critical company asset and shaping its future.
- Freedom to innovate and shape the Future: The ADH is our foundation, not our ceiling. We give you the freedom and support to define and implement the next steps of analytics for Rituals.
- Autonomy and ownership: You will join a team of self-steering professionals. We trust you to take full ownership of your product and create your own path to success.
- Culture of excellence: We prioritize sustainable, elegant solutions over quick fixes. Personal development is a high priority, and we foster a culture where you can grow your skills and career.
- High impact: The solutions you deliver will directly empower decision-making across the entire company, from digital commerce and retail operations to our AI initiatives.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Data governance Data pipelines Data Warehousing dbt Engineering Finance GCP Pipelines
Perks/benefits: Career development Startup environment
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