• Own the product roadmap for DevX and AI team • Decide what gets built and in what order • Engage with partners and agencies to surface their friction and translate it into product requirements • Collaborate with engineers to specify what each API surface exposes • Maintain relationships and keep cross-team dependencies moving • Set the definition of done including documentation, evals, developer experience quality, and partner feedback

• Owning KIP end-to-end: strategy, roadmap, partner integrations, the user-facing cabinet, and the cross-product capabilities that turn the portfolio into an ecosystem • Setting team goals, KPIs, and OKRs aligned with Kyivstar Group's ecosystem strategy and driving maximum business impact across the portfolio • Owning P&L as the ecosystem develops – managing the commercial design of cross-product use cases, attribution between partners, and revenue model evolution • Managing active partner relationships – coordinating their integration timelines, resolving roadmap conflicts, and protecting partner P&L during migration to KIP • Driving the architectural conversation with partners and internal stakeholders, including holding the line on the chosen integration model when it is challenged, and adjusting it deliberately when the evidence warrants • Developing and creating buy-in of product strategy at C-1 and C-level (CTO, CISO, CEO of Kyivstar Group, and JSC Kyivstar) and for partner product leadership • Identifying new product opportunities, revenue drivers, and synergic use cases that compound value across the ecosystem • Working closely with discovery, engineering, security, and design teams to deliver and measure features, and going deep into business and system analysis to ensure decisions are sound • Collaborating with FP&A, Legal, Tech, Marketing, Customer Support, Risk, and Compliance – KIP touches all of them because it serves the whole portfolio • Prioritizing the KIP roadmap and aligning it with the IT roadmap of the company, while managing risks, setting expectations, identifying dependencies, and forecasting future development

• Leading the end-to-end AI use-case identification and implementation process • Acting as a product owner and delivery lead for AI conversation agents and other automation initiatives • Partnering with consulting practices, functional leaders, and technical teams to map workflows • Tracking emerging technologies and releases (e.g., Microsoft, OpenAI) • Building and maintaining a framework for AI-driven efficiency • Supporting capability building and change management, training colleagues and champions to adopt new tools • Contributing to thought leadership on AI, innovation, and responsible technology deployment.

• Serve as the architect of the 'AI Development Factory,' a unified platform that empowers builders to ingest data, curate training sets, and deploy enterprise-grade AI models • Define the strategic roadmap for end-to-end AI/ML lifecycles, ensuring our tools provide seamless, secure, and performant model development • Drive the integration of robust governance and guardrails to control model behavior and ensure compliance with security policies • Build and scale platform observability layers to allow users to trace performance and debug complex multi-step workflows • Bridge the gap between raw data lakes and production-grade AI, ultimately shipping a world-class platform to our global customers