Cedric Data & Analytics was founded on a specific premise: data programs fail when technical leadership is disconnected from implementation.

We've seen it repeatedly—strategic consultants who design architectures they'll never build, offshore teams who implement without understanding the business context, and internal teams overwhelmed by complexity they didn't create.

Our model is different. We bring senior practitioners who architect, build, and operationalize data systems. The people who design your platform are the same people who write the code, tune the queries, and hand it off to your team.

This isn't a philosophy—it's a delivery model we've refined over 15+ years and 40+ programs. It produces systems that work in production and organizations that can maintain them.

By the Numbers

15+

Years in Data & Analytics

40+

Programs Delivered

Fortune 500

Client Base

4 Industries

Deep Expertise

Leadership

Cedric Humes

Founder & Managing Director

Before founding the firm, Cedric spent 15 years building and leading data organizations at scale—from hands-on architecture work to managing teams of 50+ engineers.

His background spans financial services risk systems, healthcare clinical data platforms, and manufacturing analytics—always in roles where he was accountable for operational outcomes, not just project delivery.

This operational perspective shapes how the firm works: we design systems that your team can maintain, we transfer knowledge continuously, and we measure success by what happens after we leave.

Industry Experience

  • Technical leadership at major financial institutions
  • Healthcare data platform architecture
  • Energy sector operational analytics
  • Manufacturing supply chain systems

Technical Background

  • Cloud architecture (AWS, Azure, GCP)
  • Data platforms (Snowflake, Databricks, BigQuery)
  • ML/AI systems in production
  • Data governance and compliance frameworks

Advisory Experience

  • Board-level data strategy advisory
  • M&A technical due diligence
  • Data program recovery and turnaround
  • Technology selection and vendor evaluation

Principles

What we believe

These aren't aspirations—they're how we actually work, enforced through our engagement structure and team composition.

Technical Depth

Architecture decisions are made by practitioners who write code and design systems—not managers who review PowerPoints. We stay close to the work.

Operational Focus

We design for production operation, not demonstration. Every architecture decision accounts for maintenance, evolution, monitoring, and the reality of running systems at scale.

Client Alignment

Our engagement structures align our success with yours. We build sustainable capabilities, not dependency. The goal is always for your team to own the system when we leave.

Interested in working together?

Let's have a conversation about your data challenges and how we might help.

Get in Touch