Turn Your Data Team Into a Revenue Generator
Get the leadership of a Head of Data and the hands-on execution of a Principal Engineer, at a fraction of the cost.
Trusted by
Is your data strategy stuck?
Paying expensive data salaries just to get "CSV export" requests?
Built a modern stack, but decisions still take weeks because no one trusts the data?
Your team is technical enough to build, but lacks the strategy to drive business impact?
Team spending more time maintaining what they built years ago than delivering new value?
If any of these sound familiar, you're not alone.
I've solved these exact problems at scale, and I can show you how.
Proven Results
Dashboards are passive. Data Apps act.
I build automated systems that drive revenue, cut costs, and scale operations. Not just visualizations.
Hi, I'm Paul Marcombes
Former Head of Data at Nickel, where I scaled the data team from 0 to 40 people over 6 years. Now I help other data teams navigate the same challenges: breaking through growth ceilings, establishing scalable frameworks, and building high-impact data products.
I offer fractional Head of Data services for teams at inflection points, whether you're stuck at 5-10 people or transitioning to a new scale. My approach combines hands-on execution with proven frameworks that enable autonomy, not dependency.
My philosophy: Simple tools for many beat advanced tools for the few. I build reusable platforms that enable countless use cases, using serverless architectures so teams focus on value, not infrastructure. And I contribute to open source because we all build on the shoulders of giants.
How I Help Data Teams Scale
Fractional Head of Data and hands-on execution to unlock your team's full potential.
Build Revenue-Generating Data Apps
Deploy data applications that directly impact the bottom line: personalized customer experiences that reduce churn, fraud scoring that saves millions, automated workflows that scale operations.
See Data Apps Portfolio →Eliminate the Data Bottleneck
Transform your team from order-takers to enablers. Build frameworks where business teams self-serve their data needs, freeing your data team to focus on high-impact work. Scale from 5 to 40+ people without becoming a bottleneck.
See How I Did It at Nickel →Cut Infrastructure Costs & Complexity
Migrate from legacy infrastructure to serverless, cost-effective modern stacks. Eliminate maintenance overhead so your team focuses on delivering value, not managing servers.
30-min strategy session. No sales pitch, just your next steps.
or email me
contact@unytics.io
Build Revenue-Generating Data Apps
Dashboards are passive. Data Apps act.
I build tools that automatically prevent fraud, personalize marketing in real-time, and trigger sales alerts (no manual analysis required). These aren't visualizations; they're automated systems that drive revenue, cut costs, and scale operations.
Below are examples of data apps I've built that delivered measurable business impact.
Data Apps Showcase
Faster investigation and decision-making
Built interactive network graph visualizations to trace complex fraud rings in real-time. Replaced static spreadsheets, enabling analysts to identify hidden connections and block fraud rings 10x faster.
50% reduction in customer service calls
Engineered a high-throughput CDP ingesting 1B+ events/month. Orchestrated real-time, personalized notifications (spending alerts, feature tips) that reduced support tickets by 50% and increased app engagement.
Drive retention and upsell
Implemented a serverless personalization engine serving tailored UI components in <50ms. Dynamically adapted the mobile app home screen based on user segment and behavior, driving a 15% increase in feature adoption and upsell.
Saved millions in potential losses
Deployed a real-time ML inference API scoring transactions in under 50ms. Saved millions in annual fraud losses and provided a 'shadow mode' testing framework, empowering data scientists to safely release models in hours, not weeks.
Automated actions without manual review
Developed an event-driven decision engine bridging predictions with operational actions. Automatically triggered inventory restocking, froze high-risk accounts, and launched retention workflows, eliminating thousands of hours of manual work.
Reduced time from months to weeks
Created a self-service regulatory reporting portal. Automated the consolidation of complex financial data for central bank audits, reducing reporting cycles from 3 months to 2 weeks and ensuring 100% data lineage.
30-min strategy session. No sales pitch, just your next steps.
or email me
contact@unytics.io
Scaling Data Organizations
Reactive teams drown in requests. Strategic teams enable autonomy.
I design data organizations that grow from 0 to 40+ people while maintaining quality and autonomy. Not by adding more analysts to answer questions, but by building frameworks that let stakeholders help themselves. From hybrid org structures that embed analysts where impact happens, to self-service platforms that turn 200+ people into data consumers.
Below is a real example of how I scaled a data organization at Nickel from scratch to enterprise maturity.
Key Results
Case Study: Scaling Data Impact at Nickel, a 5M+ customer fintech
Organization Achievements
Established a hybrid organization model where embedded analysts gained full autonomy through centralized tools and platforms. This framework enabled teams to ingest, transform, and deploy data products independently while maintaining governance standards.
Grew the data organization through strategic hiring, clear career paths, and a balance between central platform teams and embedded business analysts. Maintained high standards and governance while scaling rapidly.
Democratized data access from 20 to 800+ business users consuming data insights, through self-service platforms, training programs, and simple-but-powerful tools that prioritized autonomy over complexity.
Enabled teams to launch real-time personalized notifications, fraud scoring, AML alerting, regulatory reporting, and many more data-driven products across the organization using standardized platforms.
What My Team Says
"Paul built an ecosystem where analysts became autonomous. I could ingest, transform, and deploy critical data myself without dependencies on data engineering. We moved from 3 to 40 data people while maintaining high standards and governance."
30-min strategy session. No sales pitch, just your next steps.
or email me
contact@unytics.io
Offers
Ways to Work With Me
Start Here: Strategy Audit
Free 30-minute consultation. Identify bottlenecks and quick wins in your data strategy, no commitment required.
- First session completely free
- Book directly on my calendar
- Get actionable recommendations
- Perfect for assessing fit
Project-Based Engagement
Focused work for specific deliverables. Fixed scope, clear timeline.
- Architecture design & implementation
- Data app development
- Team assessments & hiring
- Infrastructure modernization
Fractional Head of Data
Most popular. Ongoing strategic leadership with hands-on execution. Get a seasoned Head of Data at a fraction of the cost.
- 1-3 days per week commitment
- Strategic data leadership
- Framework implementation
- Team scaling & mentoring
Pricing is based on scope and commitment level. Book a free call to discuss your needs and get a custom proposal.
Need more than just me? I have trusted partners to fill any data role, expanding your team's capacity when needed.
30-min strategy session. No sales pitch, just your next steps.
or email me
contact@unytics.io
Proven Tools I Bring to Your Stack
I don't just bill hours. I bring battle-tested tools that speed up development. No licensing fees, no vendor lock-in, just immediate productivity gains.
BigFunctions
Supercharge BigQuery with powerful open-source functions.
Airbyte Serverless
Run Airbyte connectors without the overhead of a full platform.
Static BI
Simple, static business intelligence dashboards.
Catalog Builder
Generate and deploy beautiful documentation websites for your data assets.
Join the community: