Senior Data Product Manager
Senior Data Product Manager
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1 Vacancy
Job Description
At Technis we are redefining how physical spaces interact with people. By leveraging advanced data technologies and AI we decode realworld 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 thirdparty 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 businessaligned data solutions.
As Senior Data Product Manager you will be responsible for driving 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. Youll 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 datadriven solutions.
& Delivery
- Own and manage the data product roadmap ensuring effective 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 endtoend product lifecycle for our data platform ensuring it efficiently ingests processes and delivers highquality data.
- Define the standardization of metrics (live historical predictive) ensuring consistency across all solutions.
- Work with thirdparty 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 crossfunctional teams and driving product development in Agile environments
- Strong analytical and problemsolving 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 realworld sensor data and thirdparty 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 fastpaced 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 timeoff
- 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 Takehome assignment
- Present Case study to a panel of team members representing product engineering and design
- Interview with members of the executive team
- Response and offer if successful
Employment Type
Full Time
