Prague, Czechia
I am an Agile Process and Delivery Manager with 10+ years of experience improving how work flows across teams, systems, and organizations. My work focuses on reducing delivery friction, improving predictability, and enabling better decision-making through data. I specialize in process ownership, delivery optimization, and continuous improvement, working at the intersection of operations, product, and technology. My focus is on making delivery leaner, more predictable, transparent, and measurable by using Kanban systems, flow metrics, automation, and data-driven reporting — not framework-driven ceremonies. Currently, I support the Digital Merck Manufacturing Division on a large-scale Data & Analytics program for Quality Operations in a highly regulated GMP environment. I coordinate cross-functional workstreams, design and improve end-to-end delivery processes, track performance KPIs, and enable alignment between technical teams, business stakeholders, and governance functions. I have strong hands-on experience with Jira (plans, workflows, boards, metrics, reporting) and Power BI, using delivery data to surface bottlenecks, support prioritization and decision-making, and drive continuous improvement at both team and leadership level. My background spans Agile program delivery, Kanban, Scrum, process improvement, and IT team leadership, across enterprise, platform, and operational contexts. I help organizations move from reactive delivery to flow-based, measurable, and continuously improving ways of working.
- Lead delivery of enterprise Data & Analytics products serving 15,000+ end users within a highly regulated Quality Operations (GMP) environment, coordinating 5 cross-functional teams. - Own and continuously improve end-to-end delivery processes across multiple workstreams, including the introduction of automations and AI agents to reduce manual effort and delivery friction. - Coordinate cross-team dependencies and handoffs between engineers, analysts, workstream leads, and stakeholders to maintain delivery flow and execution alignment. - Define and track delivery KPIs and flow metrics, building leadership reporting to support prioritization, risk management, and decision-making. - Provide hands-on support for governance, compliance, and testing activities (SIT, UAT), enabling faster and safer qualification and validation cycles. - Facilitate structured ways of working across Agile, Waterfall, and Hybrid delivery models, adapting execution practices to regulatory and operational constraints. - Drive continuous improvement by identifying bottlenecks, risks, and systemic constraints using delivery data and team feedback.
- Supported delivery of Digital and Data platform products used by 30,000+ end users across Manufacturing and Quality Operations, working with 2 delivery teams (15 people) focused on Product Data Management and Quality Data Performance. - Improved team execution flow by optimizing workflows, WIP limits, and prioritization, increasing delivery predictability and throughput. - Facilitated retrospectives and structured problem-solving sessions focused on systemic delivery bottlenecks and process constraints. - Used Jira delivery data and flow metrics to increase transparency and enable fact-based improvement and prioritization discussions. - Supported stakeholders and teams in aligning delivery commitments with real capacity and operational constraints. - Coached teams on pragmatic Agile and Kanban practices, focusing on outcomes rather than ceremony adoption. - Designed and implemented a demand management system for the Quality Value Team, covering the full flow from user request intake, refinement and prioritization, through delivery execution.
- Supported four cross-functional engineering squads (~35 people) delivering internal IT solutions used by 35,000+ employees globally across Windows and Mac environments, mobile devices (Apple and Samsung), and enterprise applications. - Improved delivery effectiveness and flow by introducing Kanban systems, flow metrics, and structured delivery practices across squads. - Designed and facilitated Value Stream Mapping, dependency mapping, and problem-solving workshops to identify systemic bottlenecks and improve end-to-end delivery flow. - Worked closely with Product Managers and internal IT stakeholders to translate business needs into prioritized backlogs and executable delivery plans. - Acted as Data Steward, enabling consistent use of delivery data and reporting to support leadership decision-making. - Advised leadership on scaling Kanban and cross-team coordination models to improve alignment and dependency management across the IT organization.
- Improved team-level and cross-team processes, alignment, and transparency - Helped teams define and monitor performance and flow metrics - Facilitated decision-making and issue resolution across technical and business stakeholders - Supported adoption of Agile, Lean, and DevOps practices with a focus on practical outcomes
- Led daily operations of a 15-person global IT support team providing technical and process support to 35,000+ internal users. - Acted as technical coach and mentor for the team, building internal IT knowledge (tools, systems, processes) and raising overall support capability and autonomy. - Coached team members on effective user support practices (phone, chat, ticket handling), focusing on communication quality, problem diagnosis, and resolution efficiency. - Monitored performance, managed escalations, and continuously improved service delivery processes and operational workflows. - Introduced Lean and Kanban practices (visual management boards, root cause analysis, A3 problem-solving) to improve transparency, flow, and service quality. - Drove a strong customer satisfaction mindset, embedding user experience and support quality as core performance drivers.
Managed small projects and client engagements, coordinating stakeholders, timelines, and deliverables.