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Define and own the product vision, strategy, and multi-year roadmap for AI, analytics, GenAI, and Agentic AI products aligned to business priorities
Identify and prioritize high-impact use cases across domains such as Supply Chain, Manufacturing, Service, Commercial, and Corporate Functions
Develop business cases, value hypotheses, and success metrics to guide investment decisions and measure outcomes
Drive executive-level conversations, translating complex analytics and AI capabilities into clear business value narratives
Act as a strategic partner to senior business leaders, ensuring solutions align with operational and strategic objectives
Balance competing priorities across functions and regions while ensuring transparency, governance, and alignment
Lead cross-functional delivery teams spanning data engineering, analytics engineering, data science, ML engineering, and GenAI engineering across multiple geographies
Own and manage the product backlog with well-defined epics, features, and user stories that deliver incremental value
Partner closely with engineering teams to guide solution design, technical trade-offs, and delivery sequencing
Drive delivery of advanced analytics and BI products, AI/ML models, GenAI solutions, and Agentic AI workflows
Ensure solutions are designed for enterprise scale, reliability, security, and governance
Drive adoption and change management, embedding analytics and AI into business workflows
Monitor KPIs, user feedback, and business impact metrics, continuously refining the roadmap based on outcomes
Partner with platform, architecture, and governance teams to align with enterprise standards and responsible AI practices
Lead with an entrepreneurial mindset, embracing ambiguity and rapid experimentation
Balance innovation speed with disciplined product management and scalable architecture
Foster a culture of ownership, accountability, and collaboration across global teams
Requirements
Bachelor's degree
10+ years of experience in analytics, data, or AI product management or closely related roles
Strong foundation in data analytics, business intelligence, and data platforms
Demonstrated experience partnering with engineering and data science teams to deliver complex AI or data products
Proven ability to influence senior stakeholders and drive alignment across diverse teams
Experience working in Agile / product-centric delivery models
Advanced English proficiency
Nice to have
Hands-on experience delivering AI/ML, GenAI, and/or Agentic AI products in an enterprise environment
Familiarity with modern data and AI platforms (e.g., Snowflake, Databricks, AWS, Power BI)
Understanding of MLOps / LLMOps, AI governance, and responsible AI practices
Experience leading products delivered by distributed or global teams
What we offer
Comprehensive health insurance for peace of mind and well-being
Professional development opportunities to help you grow your career