Marcin Rzeźniczuk Technical Project Manager & AI Product Lead
Bridging deep expertise in cloud data architecture and agentic AI systems with predictable Agile product delivery (TPM). Over a decade of enterprise transformation experience in regulated industries (Pharma, Logistics, Telecom) — delivering scalable LLM products and Snowflake/dbt platforms with strict governance, engineering rigor, and FinOps budget discipline.
AI Product & Data Strategy
Designing and deploying enterprise products powered by RAG and multi-agent workflows. AI governance, LLM risk & token cost management (Unit Economics), and translating executive vision into scalable architecture.
Project Delivery & Agile Leadership
End-to-end Technical Project Management (TPM), Certified Scrum Master (PSM I), and Kanban Management Professional (KMP). Executive stakeholder alignment, risk mitigation, and predictable release cadence.
Bridging Data Engineering and Business Delivery
Most data and AI initiatives fail not from a lack of tools, but from a disconnect between technical execution and strategic business priorities. My role is to bridge this divide: ensuring production-grade Data & AI architectures and high engineering standards, while taking full ownership of schedule predictability, budget discipline, and measurable business ROI.
Solid Architectural Foundations
Leveraging extensive data engineering experience (Data Lakehouses, ETL) to assess technical feasibility from a leadership perspective, manage technical debt, and validate AI solution architecture to de-risk business initiatives.
Predictable Delivery
Proven agile leadership (PSM I, KMP, TPM). Eliminating delivery bottlenecks, establishing structured workflows, managing work-in-progress (WIP), and building end-to-end team accountability.
Business & Product Value Focus
Technology must drive concrete product and business outcomes. Every architectural and process decision is treated as an investment designed to maximize ROI or optimize the end-to-end value delivery cycle.
Proven Enterprise Experience
A track record of leading strategic data initiatives, managing cloud transformations, and mentoring cross-functional engineering teams for international organizations.
Technical Project Manager
Leading full-lifecycle cloud data and AI initiatives for global pharmaceutical clients in strictly regulated environments. Aligning executive stakeholders with cross-functional engineering teams, overseeing production data platforms, and driving enterprise AI adoption.
- • End-to-End Delivery & Stakeholder Alignment: Leading complex cloud initiatives from product discovery and architectural validation through production rollout, managing scope, risk, and SLA commitments.
- • Kanban Flow & Predictability: Measurably reduced delivery cycle time and improved release predictability by implementing WIP limits, flow metrics, and structured backlog decomposition.
- • Value Stream & Platform Governance: Orchestrating delivery across data engineering teams building scalable Snowflake, dbt, and Apache Airflow platforms with strict data quality and FinOps controls.
- • Agentic AI Adoption: Designing and integrating generative AI and autonomous agentic workflows to automate documentation, testing, and engineering operations in compliance with enterprise security standards.
Senior Data Engineer • Team Coordinator
Spearheaded cloud-based ETL/ELT platform architecture using Snowflake, dbt, and Python for global pharmaceutical clients, bridging hands-on technical leadership with Agile/Kanban team coordination.
- • Technical Coordination & Mentoring: Coordinated daily engineering workflows, conducted code reviews, onboarded team members, and established CI/CD & dbt development standards.
- • Client Advisory & Training: Led technical workshops and platform training sessions for client-side engineering and analytics teams, translating business domains into scalable data models.
- • Enterprise Pipeline Architecture: Architected high-reliability ELT pipelines and orchestration workflows in Snowflake and Apache Airflow meeting strict pharmaceutical compliance requirements.
Data Engineer
Developed and maintained cloud data pipelines, ETL/ELT workflows, and dimensional data models for global pharmaceutical clients. Implemented scalable data transformations using Snowflake, SQL, Python, and automated reporting infrastructure.
Associate • Data & Analytics
Data modeling and integration in modern data warehouses. Back-end development on Snowflake, MS SQL Server, and BI delivery.
Data Engineer • Service Consultant
Apache Airflow PoC, automated data delivery for Data Science, Docker, AWS, Python, and introducing Scrum framework for application modules.
Enterprise Analytics • SAP
Foundation in large-scale corporate environments. SAP RE-FX modules support, logistics data analysis, reporting automation, and business process modeling.
Official Certifications & Credentials
Industry-recognized standards in Agile leadership, cutting-edge AI agent architecture, and cloud data platforms.
AI Agents & Generative AI
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AI_devs 4 BuildersIssued May 2026 • Advanced Agentic Workflows
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AI_devs 3 AgentsAutonomous multi-agent systems & tools
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AI_devs 2: Connect GPT-4LLM integration with application logic
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AI in Business DevelopmentGoogle Certification • AI Product Strategy
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AI_managers 2Managing AI-driven technical initiatives
Scrum & Kanban University
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Professional Scrum Master™ I (PSM I)Scrum.org • Global Scrum delivery standard
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Kanban Management Professional (KMP)Kanban University • Flow & WIP optimization
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Kanban System Design & Improvement (KSD/KSI)Kanban University • Evolutionary change leadership
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First Time ManagerEY Academy of Business Polska • Team Leadership
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ITIL FoundationPeopleCert • Enterprise IT Service Management
Snowflake & Data Engineering
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Snowflake: Data EngineeringHands-On Essentials Certification
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Snowflake: Data Warehouse & AppsArchitecture, Performance & Data Sharing
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DataCamp: Intermediate PythonProduction data scripting & automation
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DataWorkshop Machine Learning Challenge3rd Transformation • Practical ML pipelines
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TOEIC Language Certification (B2 Level)ETS EMEA • Fluent Professional English
Areas of Technical & Leadership Expertise
The full scope of engineering advisory and delivery leadership I provide to organizations scaling their data capabilities.
DATA & AI SOLUTIONS
Cloud Architecture, Data Pipelines & Analytical Advisory
AI PRODUCT MANAGEMENT & ADVISORY
Defining product strategy for systems powered by Large Language Models (LLMs) and autonomous agents. From data readiness assessment and unit economics modeling to deployment supervision and RAG evaluation.
DATA-DRIVEN BUSINESS CONSULTING
Translating executive business vision into concrete technology initiatives. Establishing single-source-of-truth architectures that empower reliable decisions.
DATA ARCHITECTURE & ENGINEERING
Strategic design of robust data platforms (Lakehouses, Cloud Warehouses), architectural standards, data governance, and scalable pipelines to empower reliable AI.
BUSINESS INTELLIGENCE AND REPORTING
Designing and automating executive dashboards, operational reporting, and data governance frameworks to ensure reliable KPI tracking and continuous data quality.
AGILE & DELIVERY LEADERSHIP
Technical Project Management, Agile Methods & Engineering Leadership
SCRUM
Implementing and assessing Scrum in engineering teams. Facilitating core ceremonies, stabilizing sprint cadence, and driving continuous improvement through actionable retrospectives.
AGILE LEADERSHIP
Cultivating transparent, autonomous, and accountable engineering teams. Fostering servant leadership and breaking down communication barriers between engineers and stakeholders.
DATA TEAM LEADERSHIP
Hands-on technical leadership for Data Engineers and BI Developers. Mentoring, onboarding, CI/CD adoption, and establishing code review and engineering excellence standards.
DATA PROJECTS MANAGEMENT
Full-lifecycle Technical Project Management (TPM). Handling scope, budget, milestones, risk management, and multi-stakeholder communication in complex data initiatives.
KANBAN COACHING AND IMPLEMENTATION
Certified Kanban Management Professional (KMP). Workflow visualization, work-in-progress (WIP) limits, bottleneck elimination, and cycle time reduction using flow metrics.
Collaboration Models
Tailoring the engagement structure to your organization's exact needs, maturity, and project lifecycle stage.
Architecture & AI Readiness Audit
Targeted architectural and delivery assessments. Evaluating current cloud data infrastructure, assessing AI/RAG readiness, identifying technical debt and workflow bottlenecks, and delivering an actionable transformation roadmap.
Fractional TPM / AI & Data Lead
Senior delivery and product leadership embedded in your organization (1–3 days/week). Aligning engineering teams with executive priorities, governing AI and data roadmaps, optimizing Kanban/Scrum flow, and owning key milestones.
End-to-End AI & Data Solutions Delivery
Hands-on architectural leadership and technical implementation. Designing and deploying agentic AI workflows, RAG systems, and modern cloud data platforms (Snowflake, dbt, Python, Airflow) from rapid PoC validation to production rollout.
Let's Discuss Your Next Initiative
Looking for an experienced Technical Project Manager, an AI Product Lead, or strategic architectural advisory for your cloud data & AI platform? Reach out directly — let's discuss how to de-risk and accelerate your organization's key technology initiatives.