Roles & Responsibilities:
Define product vision and strategy for data-powered solutions (e.g., forecasting, revenue and margins optimizations, price elasticity simulator).
Lead end-to-end the development of data-driven products – from discovery and scoping through execution, launch, and ongoing optimization.
You will build a tool to optimize revenues and margins based on supply and demand constraints.
Translate business goals into new product initiatives that drive revenue, efficiency, and operational excellence.
Interpret analytical and model outputs to guide product decisions.
Define clear product requirements for analytics, predictive models, segmentation tools, and data platform improvements.
Understand the companys product needs and assess market-available solutions to identify viable off-the-shelf options, providing strategic recommendations on whether to build or buy.
Partner with Data Engineering, Analytics, Data Scientist, Operations teams, R&D, and Design to design and deliver high-quality data products.
Establish KPIs, success metrics, and monitoring to measure product performance.
Support adoption and long-term value by leading rollout, stakeholder alignment, and continuous improvements.
Represent product needs in core data infrastructure initiatives.
7+ years of Product Management experience in SaaS, e-commerce, or data-driven environments, with a strong background in building data-centric or analytics/ML-powered products
Previous data experience from roles such as Analyst/Data Scientist, etc. – an advantage
Experience in translating business goals into clear product requirements, measurable outcomes, and actionable execution plans
Proven track record of defining product vision, strategy, and roadmaps, and successfully launching and scaling complex data products
Experience in defining KPIs, measurement frameworks, and performance dashboards to evaluate product impact
Hands-on experience with AI tools / ML, including partnering with data scientists, and integrating model outputs into production systems
Ability to work with complex data models, schemas, and large-scale data systems, with a strong understanding of data architecture
A problem solver with the ability to think strategically
Excellent communication skills – a leader comfortable navigating cross-functional teams such as Development, Data, Product, and Operations, while managing complex projects
Strong analytical skills
Experience defining data SLAs, fallback mechanisms, enrichment strategies, and QA processes in collaboration with data engineering and analytics teams
Experience in planning and supply chain management – an advantage
Fluency in English
