Senior Data Product Manager

vor 1 Tag

Lausanne, Waadt, Schweiz Technis Vollzeit

At Technis, we are redefining how physical spaces interact with people. By leveraging advanced data technologies and AI, we decode real-world interactions to enhance safety, optimize operations, and enrich experiences, while maintaining a strong commitment to sustainability. Our data platform is at the heart of this mission, transforming raw data from IoT sensors and third-party sources into actionable insights. To drive the strategic direction of our data products, we are seeking a Senior Data Product Manager who will play a key role in structuring our approach to data, ensuring we build scalable, impactful, and business-aligned data solutions.

As Senior Data Product Manager, you will be responsible for driving execution and refining the strategy for our data platform and data products in collaboration with leadership. You will work closely with engineering, data science, and business stakeholders to ensure our data pipelines, metrics, and analytics align with business objectives and customer needs. You will also provide structured product leadership, fostering best practices in product thinking and prioritization. You'll thrive in this role if you have a deep understanding of data products, strong analytical thinking, and the ability to bridge the gap between technical teams and business requirements.

Tasks

Product Leadership

  • Define and execute the data product strategy, ensuring alignment with Technis' broader goals.
  • Develop a clear framework for prioritizing and structuring data initiatives, improving focus and impact.
  • Advocate for data as a core product, reinforcing its role as a strategic asset that enhances our platform and business impact.
  • Align with product, sales, and customer success teams to translate business challenges into data-driven solutions.

Execution & Delivery

  • Own and manage the data product roadmap, ensuring effective execution and delivery of key milestones.
  • Establish a structured approach to defining requirements, bringing clarity and confidence to the team when tackling new initiatives.
  • Ensure strong documentation and knowledge sharing, improving how data is accessed, understood, and used across teams.
  • Work closely with data engineers, software engineers, and data scientists to ensure a strong technical foundation for data products.

Data Platform & Pipeline Strategy

  • Own the end-to-end product lifecycle for our data platform, ensuring it efficiently ingests, processes, and delivers high-quality data.
  • Define the standardization of metrics (live, historical, predictive), ensuring consistency across all solutions.
  • Work with third-party providers to integrate external data sources (APIs, partner platforms), expanding the breadth of insights we can generate.
Requirements
  • 4+ years of experience in data product management or related fields (e.g. data analytics, business intelligence, or platform product management)
  • Experience collaborating with cross-functional teams and driving product development in Agile environments
  • Strong analytical and problem-solving skills, with a strategic mindset to scale data products effectively
  • Excellent project management skills, with a proven ability to manage multiple initiatives simultaneously, structuring and prioritizing them to maximize business impact.
  • Experience working with real-world sensor data and third-party data integrations is a strong plus
  • Understanding of data pipelines, event streaming, and batch processing, with experience working with modern data architectures (Flink, Airflow, Kafka, Snowflake, etc.) would be a plus.
  • Strong written and verbal communication skills in English with the ability to present to stakeholders clearly and concisely. French is a strong plus.
Benefits
  • An opportunity to join a fast-paced, growing startup where you can have an immediate impact
  • A stimulating and empowering work environment with a team of true enthusiasts
  • Modern offices in the heart of the Lausanne, Switzerland and Paris, France
  • Lots of flexibility, autonomy, and daily challenges
  • 30 days of paid time-off
  • Hybrid work – two remote days per week and one full remote week per quarter.
  • Comprehensive health, insurance, and retirement benefits
  • Learning and development budget

Our Recruitment Process

  • Exchange with our Head of Data to understand your background & career goals.
  • Case study – Take-home assignment
  • Present Case study to a panel of team members representing product, engineering, and design
  • Reference calls
  • Interview with members of the executive team
  • Response and offer, if successful

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