Anna Niedźwiedź

Lead user-centered development of the SaaS-based Talent Deployment platform, serving 350k+ global users. Manage a dynamic Azure DevOps backlog, collaborating with cross-functional teams to prioritize AI-enhanced features aligned with business goals and user needs. Drive end-to-end discovery, scoping, and delivery across the talent lifecycle, including assignment workflows, internal mobility, and capacity forecasting. Partner with UX, engineering, and business stakeholders to define user-centric, scalable, and commercially viable solutions. Establish continuous feedback loops to surface friction points and iterate rapidly. Leverage data-driven insights from platform analytics, user research, and business KPIs to inform roadmap and prioritization. Proactively manage risks, dependencies, and change communications during global rollouts to maximize adoption. Act as primary liaison for escalations, stakeholder alignment, and vendor collaboration, ensuring quality delivery within agile frameworks. Champion experience-first product thinking, balancing global consistency with regional agility.

Appointed as interim head of the Reporting & Insights workstream during a leadership transition, overseeing a cross-functional team of 5 BI analysts and developers supporting a global transformation program. Delivered automated reporting and feedback dashboards adopted by leadership to monitor user engagement and product performance. Supported experience-driven product decisions by enabling real-time visibility into user adoption trends.

Led the design and rollout of global talent deployment processes in a multi-year transformation program for 350k+ employees across all business lines and regions. Served as Product Owner for legacy talent management tools during sunset phase, ensuring stability and risk-free decommissioning. Collaborated closely with a SaaS vendor to deploy a new global platform aligned with the Target Operating Model and standardized workflows. Facilitated cross-functional alignment among HR, business leaders, IT, and transformation teams to embed unified staffing processes at scale. Defined core workflows, governance, and user journeys to support platform transition. Directed change management, user readiness, and communications to drive adoption and minimize disruption.

Internal Product Owner for third-party vendor staffing and internal talent solutions supporting the global staffing platform. Led 0→1 development and launch of two AI-driven platforms: a Cloudera-powered People Analytics system enabling LLM-based talent-job matching, and a Pega-based Job Feed for personalized internal mobility. Partnered with engineering, AI/ML, UX, and business teams to define roadmaps, prioritize backlogs (Jira, Azure DevOps), and manage releases end-to-end. Championed user research, feedback loops, and change management to drive adoption across global units. Delivered training and enablement materials to ensure smooth go-lives and user engagement.

Supported user access and training for staffing tools, maintaining responsive feedback loops with end users. Partnered with product and tech teams to integrate user needs into roadmaps. Acted as key liaison for internal and external stakeholders on resource availability, fostering trust and transparency. Streamlined resource allocation through efficient scheduling and tracking. Leveraged advanced analytics to monitor usage trends and identify optimization and cost-saving opportunities.

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