Product manager – data value services
Sana Commerce
About the role
About the Company
What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce. Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
Product Manager – Data Value Services
At Sana Commerce, we’re on a mission to revolutionize B2B e-commerce analytics, and we need a Product Manager – Data Value Services to lead the charge. Data is becoming the most strategic lever in B2B e-commerce. From predicting customer churn to enabling personalized buying experiences, data products will define the next decade of competitive advantage in our space.
Sana Commerce Insights (SCI) was our first step, a differentiated analytics product that unites ERP, online, and offline data. We are now investing in Data Value Services: reusable data capabilities and products that power intelligence across our platform, beyond SCI itself.
Why This Role is Special
- Strategic impact: You’ll shape the data platform that underpins customer retention, adoption, and revenue growth.
- Platform-first thinking: Instead of one-off features, you’ll design primitives (e.g., churn scoring, personalization, segmentation) that multiple teams and journeys can reuse.
- Cross-functional leadership: You’ll navigate a highly complex environment—balancing engineering constraints, privacy regulations, data fragmentation, and business priorities—while aligning GTM teams on value delivery.
- Forward-looking analytics: You’ll push us from reporting into experimentation, behavioural modelling, and prescriptive insights.
Job Description
What you’ll 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 prioritisation 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 platformisation: identifying where data services (scoring, segmentation, recommendations) can be abstracted and reused across customer journeys.
What you’ll 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, modelling, latency, privacy, identity resolution.
- Proven ability to lead cross-functional teams (engineering, data science, design) through full product lifecycle—from vision through delivery.
- Experience moving beyond dashboards toward predictive, prescriptive, and embedded analytics.
- Working literacy in BI and visualisation 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 you’ll 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
- Champions of Our League – We deliver lasting success, balancing quick wins and long-term value.
- Supercharge Our Customers – We’re revolutionising 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 other’s back.
Ready to build reliability that scales? Apply now and help shape the foundation of our next-generation SaaS platform.
Seniority level: Mid-Senior level Employment type: Full-time Job function: Product Management
Requirements
- 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, modelling, latency, privacy, identity resolution.
- Proven ability to lead cross‑functional teams (engineering, data science, design) through full product lifecycle—from vision through delivery.
- Experience moving beyond dashboards toward predictive, prescriptive, and embedded analytics.
- Working literacy in BI and visualisation 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.
Responsibilities
- 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 prioritisation 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 platformisation: identifying where data services (scoring, segmentation, recommendations) can be abstracted and reused across customer journeys.
Benefits
Skills
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