What youll be doing:
- Define and evolve the vision and strategy for data products at Sana including but not limited to SCI.
- Translate ambiguous business questions into scalable data services that drive measurable customer outcomes.
- Partner closely with engineers architects and data scientists to shape pipelines models and APIs that power predictive and prescriptive use cases.
- Collaborate with product teams across Sana to embed insights contextually into the webstore and admin experiences.
- Lead prioritization and roadmap execution balancing technical feasibility data governance (GDPR privacy) and business impact.
- Partner with commercial stakeholders to link data value to adoption upsell and customer retention.
- Establish clear success criteria KPIs MVPs validation signals for every initiative ensuring we build for impact not output.
- Champion platformization: identifying where data services (scoring segmentation recommendations) can be abstracted and reused across customer journeys.
Qualifications :
What youll bring:
- 5 years of experience as a product manager or product owner in data analytics or ML-driven products.
- Strong grasp of data architecture and limitations: pipelines modeling latency privacy identity resolution.
- Proven ability to lead cross-functional teams (engineering data science design) through full product lifecyclefrom vision through delivery.
- Experience moving beyond dashboards toward predictive prescriptive and embedded analytics.
- Working literacy in BI and visualization tools (Power BI Tableau) with a bias toward abstraction and automation.
- Familiarity with ML techniques (clustering recommendation classification) and their commercial applications.
- High standards for data usability governance and trust.
- A structured strategic thinker who thrives on complexity and can simplify to drive business impact.
Additional Information :
Why youll love working here
- Impact from day one Join a scale-up where your ideas shape how global businesses operate online.
- Continuous learning Access a structured onboarding rated 9.1/10 by previous hires mentorship and feedback culture.
- Hybrid flexibility Work from our office 3 days per week and from home 2 days.
- Career growth Expand your technical and leadership scope in a company built for long-term success.
Our values
At Sana Commerce our values drive everything we do:
- Champions of Our League We deliver lasting success balancing quick wins and long-term value
- Supercharge Our Customers Were revolutionizing B2B commerce together helping our customers to lead and succeed.
- Determined to Grow We embrace challenges growing and raising the bar for ourselves and our industry.
- Bold Together We dare to be bold because we have each others back.
Ready to build reliability that scales
Apply now and help shape the foundation of our next-generation SaaS platform.
Remote Work :
No
Employment Type :
Full-time
What youll be doing:Define and evolve the vision and strategy for data products at Sana including but not limited to SCI.Translate ambiguous business questions into scalable data services that drive measurable customer outcomes.Partner closely with engineers architects and data scientists to shape p...
What youll be doing:
- Define and evolve the vision and strategy for data products at Sana including but not limited to SCI.
- Translate ambiguous business questions into scalable data services that drive measurable customer outcomes.
- Partner closely with engineers architects and data scientists to shape pipelines models and APIs that power predictive and prescriptive use cases.
- Collaborate with product teams across Sana to embed insights contextually into the webstore and admin experiences.
- Lead prioritization and roadmap execution balancing technical feasibility data governance (GDPR privacy) and business impact.
- Partner with commercial stakeholders to link data value to adoption upsell and customer retention.
- Establish clear success criteria KPIs MVPs validation signals for every initiative ensuring we build for impact not output.
- Champion platformization: identifying where data services (scoring segmentation recommendations) can be abstracted and reused across customer journeys.
Qualifications :
What youll bring:
- 5 years of experience as a product manager or product owner in data analytics or ML-driven products.
- Strong grasp of data architecture and limitations: pipelines modeling latency privacy identity resolution.
- Proven ability to lead cross-functional teams (engineering data science design) through full product lifecyclefrom vision through delivery.
- Experience moving beyond dashboards toward predictive prescriptive and embedded analytics.
- Working literacy in BI and visualization tools (Power BI Tableau) with a bias toward abstraction and automation.
- Familiarity with ML techniques (clustering recommendation classification) and their commercial applications.
- High standards for data usability governance and trust.
- A structured strategic thinker who thrives on complexity and can simplify to drive business impact.
Additional Information :
Why youll love working here
- Impact from day one Join a scale-up where your ideas shape how global businesses operate online.
- Continuous learning Access a structured onboarding rated 9.1/10 by previous hires mentorship and feedback culture.
- Hybrid flexibility Work from our office 3 days per week and from home 2 days.
- Career growth Expand your technical and leadership scope in a company built for long-term success.
Our values
At Sana Commerce our values drive everything we do:
- Champions of Our League We deliver lasting success balancing quick wins and long-term value
- Supercharge Our Customers Were revolutionizing B2B commerce together helping our customers to lead and succeed.
- Determined to Grow We embrace challenges growing and raising the bar for ourselves and our industry.
- Bold Together We dare to be bold because we have each others back.
Ready to build reliability that scales
Apply now and help shape the foundation of our next-generation SaaS platform.
Remote Work :
No
Employment Type :
Full-time
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