Marcin Rzeźniczuk Technical Project Manager & AI Product Lead
Bridging deep expertise in data architecture and AI systems with agile technology product delivery (Agile/TPM). Over a decade of enterprise transformation experience. Delivering scalable LLM solutions and data platforms that achieve strategic business goals with engineering rigor and budget discipline.
AI Product & Data Strategy
Designing and deploying products powered by RAG systems and multi-agent workflows. LLM risk management, workflow orchestration, and translating business vision into technical architecture.
Project Delivery & Agile Leadership
Technical Project Management (TPM), Certified Scrum Master (PSM I), Kanban Management Professional (KMP), backlog refinement, and predictable release cycles.
Bridging Data Engineering and Business Delivery
Most data and AI initiatives struggle not from a lack of tools, but from a gap between technical execution and business priorities. My role is to bridge this divide: delivering production-grade architectures and clean code, while maintaining predictable sprint delivery, budget discipline, and clear business alignment.
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 initiatives for top-tier pharmaceutical clients. Connecting business leadership with technical delivery, automating complex data pipelines, and championing practical AI adoption.
- • Architecture & Delivery: Leading complex cloud initiatives from product discovery through production rollout. Translating strategic business requirements into actionable tasks for engineering teams.
- • Agile & Kanban Workflows: Improved sprint predictability, backlog decomposition, and cycle time through tailored Kanban workflows.
- • Value Stream Management: Optimizing delivery workflows across data engineering teams, backlog management, and technical facilitation of implementations built on dbt and Apache Airflow.
- • AI & Agentic Tools: Integrating generative AI and autonomous agentic workflows to accelerate engineering efficiency.
Senior Data Engineer • Team Coordinator
Spearheaded cloud-based ETL/ELT solutions using Snowflake, dbt, and Python for global pharmaceutical clients. Combined deep hands-on data engineering with Agile/Kanban team coordination and client training.
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
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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 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
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First Time ManagerEY Academy of Business Polska
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ITIL FoundationPeopleCert • 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
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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 Audit & Strategic Advisory
Targeted architectural and process assessments. Evaluating current data infrastructure, identifying technical debt, reviewing team workflows, and delivering an actionable engineering roadmap.
Fractional TPM / Data Lead
Part-time senior leadership embedded in your organization (1–3 days/week). Aligning engineering teams with business priorities, removing blockers, optimizing workflow, and overseeing key deliverables.
Hands-on Engineering & Implementation
Direct technical implementation. Writing production code for data pipelines (Snowflake, dbt, Python, Airflow), executing cloud migrations, and automating testing and orchestration.
Let's Discuss Your Next Initiative
Looking for an independent data engineering expert, an experienced Technical Project Manager, or architectural guidance for your cloud data platform? Reach out directly — let's discuss your team's upcoming initiatives.