Data Strategy
An honest assessment of where you are today, a strategy and roadmap shaped around your business priorities, and hands-on support with delivery when you need it.
- As-Is Assessment
- Roadmap
- Delivery
From developer to Chief Data Officer, I’ve worked across every layer of the data ecosystem. Today I help organisations turn strategy into capabilities that deliver lasting business value.
15+ years in data at ING, Avast and E.ON.
Experience built inside organisations serving millions of customers
Most organisations don’t struggle because they lack technology. They struggle because strategy, business and engineering move in different directions.
I help leadership teams align those worlds. Whether the challenge is defining a data strategy, modernising a platform, introducing AI or building a stronger data organisation, my focus is always the same: creating capabilities that deliver measurable business value.
Over the past 15+ years, I’ve worked across every layer of the data ecosystem—from Data Warehouse Developer and Business Analyst to Architect, Data Leader and Chief Data Officer. That perspective allows me to connect executive priorities with technical reality and turn strategy into execution.
Six areas, one goal: data and AI that earn their budget. Engagements usually combine two or three of them.
An honest assessment of where you are today, a strategy and roadmap shaped around your business priorities, and hands-on support with delivery when you need it.
Ownership, quality and access rules that people follow because they make work easier, not because a policy says so. Built in, not bolted on.
A sounding board for CEOs, CFOs and newly appointed CDOs: org design, hiring senior talent, and board-level communication.
An honest check of whether your data can carry AI, a short list of use cases worth starting with, and hands-on training that makes AI an everyday work tool for your people.
One version of the truth for the metrics that run the company, and self-service reporting that replaces spreadsheet sprawl.
Architecture choices, vendor selection and a cost model you can defend, so the platform scales without the bill surprising anyone.
15+ years across banking, cybersecurity and energy, always where data, technology and business meet.
EducationMaster’s in Informatics and MBA, Prague University of Economics and Business (VŠE). From informatics to an MBA delivered with KPMG. Two degrees, one goal: connect the technical and business worlds.
From enterprise platform architecture and organisational design to governance, compliance and board reporting. Each one a real initiative with real business impact.
Initiated the change and upgrade of the company’s data landscape, then led the new platform from business case and architecture to delivery: Databricks and Azure, Medallion architecture, Unity Catalog and Delta Lake. Now the backbone of all data and AI work across the company.
Designed and launched the Data & AI Tribe as a product organisation: defined the team structure, OKR framework, seniority model and agile ways of working, and led the transition from a centralised team.
Design and deliver practical AI courses focused on real value for the business and individuals, not party tricks: summarising documents, analysing data, drafting and automating everyday work. Alongside them, data literacy training on working with data, building data solutions, SQL and BI principles.
Designed and developed the solution that brought customer data from disparate systems into one source of truth, powering analytics and personalisation at global scale. It became the company’s most widely adopted analytics tool.
Owned and led the global Enterprise Data Warehouse: architecture, development and team. Planned and led its successful migration from MS SQL to Greenplum.
Designed and built the KPI data model behind top-management reporting and stock exchange disclosure, including the database layer, ETL automation and custom orchestration.
Designed and built the integration that brought customer PII onto one platform to handle GDPR requests, with ETL pipelines connected to the company’s public GDPR portal.
Designed the RBAC model for DWH and Data Lake access and defined data masking, PII anonymisation, the retention policy and security standards.
Implemented Master Data Management from the ground up: defined master data domains and built data quality, profiling, acquisition and merging processes.
Simple and transparent, with no commitment until we both know the collaboration makes sense.
A short, informal conversation about what you’re trying to achieve and where things stand today. You’ll quickly know whether I can help.
30 minutesA follow-up session to go into the detail of what came up in the first call: context, constraints, people and data.
1 to 2 hoursWe agree on the scope, format and timing that fit your needs, whether that’s a workshop, a strategy sprint or ongoing advisory.
Clear scopeWe get to work, with regular check-ins on progress and outcomes, so you can adjust or scale at any point.
As agreedEvery engagement is scoped after a first call, so you only pay for what moves the needle.
For teams and executives who want to go deeper on the topic that matters to them right now.
Kick-starting your data or AI initiative, scoped to exactly what you need to achieve.
For CEOs, CFOs and CDOs who want an experienced sparring partner.
A 30-minute call is usually enough to tell whether I can help, and what the first step should be.
Let's work togetherTell me what you're trying to achieve. I reply to every message within two working days.