DatacentTechnologies

Enterprise data and AI, put to work.

Datacent Technologies helps financial services, insurance, retail, and consumer goods organizations turn the data they already have into AI systems, analytics, and decisions that hold up in production and under regulatory scrutiny. Consulting-led and delivery-backed.

Start a conversation See what we do

AI

From claims and underwriting to customer service and supply chain: AI applications, agentic workflows, and the infrastructure and talent to run them in production.

AI services

Analytics

Decision-grade analytics on trustworthy data across financial, customer, and operational domains: pipelines, models, and reporting your teams rely on.

Analytics services

Consulting

Data strategy, master data management, and governance for customer, product, and party data: the foundations AI and analytics depend on.

Consulting services

Forward-Deployed Engineers

Vetted engineers embedded inside your team to ship AI into production, on your stack, on your timeline.

FDE staffing

Most AI programs fail on data, and most AI hires fail to ship. We built for both.

Multi-industryfocus on financial services, insurance, retail, and consumer goods
4 practicesAI, analytics, consulting, and FDE staffing under one accountable team
Regulateddata work built for audit trails, explainability, and model governance
US-basedTexas-based, serving clients across the United States

Services

Four practices, one point of accountability, built for data-intensive and regulated industries. Engagements range from advisory sprints to managed delivery teams and embedded engineers.

AI

Build what ships, not what demos.

We design and deliver AI applications that survive contact with enterprise reality: legacy core systems, regulatory scrutiny, and real operators as users. That includes the platform and people to keep them running.

  • AI use-case assessment and roadmap
  • Document intelligence for claims, onboarding, and contracts
  • Underwriting, credit, and case-triage assistants
  • Fraud and anomaly detection
  • Agentic workflow design and automation
  • AI infrastructure, MLOps, and model monitoring

Analytics

Numbers the business trusts.

Analytics only creates value when the underlying data is dependable and the outputs reach decision-makers in time. We build both ends: the pipelines and the products.

  • Claims, risk, and financial performance analytics
  • Pricing, forecasting, and demand analytics
  • Data engineering and pipeline modernization
  • BI and executive reporting builds
  • Data quality measurement and remediation
  • Cloud data platform migration

Consulting

Foundations before features.

Strategy and governance work grounded in hands-on enterprise data management: master data, stewardship operations, and the organizational design that makes data programs stick in a complex enterprise.

  • Enterprise data strategy
  • Master data for customer, product, and party
  • Data governance design and rollout
  • Regulatory and AI model governance readiness
  • Data stewardship operating models
  • AI-readiness assessment and platform selection

Forward-Deployed Engineers

Engineers who ship at the client, not just in the demo.

A forward-deployed engineer works inside your team, or your client's, to build and ship AI directly into a live environment. We source and vet FDEs for the two things the role actually depends on: the technical range to build in someone else's stack, and the temperament to work face to face with customers.

  • Embedded AI/ML engineers for a single seat or a full pod
  • Applied AI, RAG, and agentic specialists with financial services, insurance, or retail context where the seat needs it
  • Full-stack engineers who wrap the product around the model
  • Nearshore and offshore FDE talent, screened to the same bar
  • Contract-to-hire and standing FDE function builds
  • Backfill and bench coverage for active deployments

How we vet

Four checks before a resume ever reaches you.

Speed matters, but a bad placement inside a client's environment costs more than a slow one. Every FDE candidate clears the same four gates before we submit them.

  • 1. Success-profile alignment on your stack and month-one scope
  • 2. Proof of production shipping, not just demos or side projects
  • 3. Technical deep-dive on the specific tools the seat requires
  • 4. Customer-facing screen for urgency, curiosity, and follow-through

Engagement models

Start small, scale when it earns it.

Most clients start with a single embedded engineer and expand once the deployment proves out. We support whichever shape fits.

  • Single seat, contract or contract-to-hire
  • Standing FDE team, scaled up or down with demand
  • Deployment-only sprint with a defined production milestone
  • Replacement coverage if a placed engineer isn't the right fit

About Datacent Technologies

A data and AI firm serving financial services, insurance, retail, and other data-intensive industries, founded on a simple observation: the organizations winning with AI are the ones that took their data seriously first.

Why we exist

Enterprises, from insurers and banks to retailers and consumer brands, are under pressure to deliver AI outcomes, but most initiatives stall for the same reason analytics programs stalled a decade ago: the data underneath was never made ready. Customer, product, and transaction records sit across legacy systems that were never designed to talk to each other. Datacent Technologies exists to close that gap by pairing modern AI and analytics delivery with deep, unglamorous expertise in master data, governance, and stewardship.

We work as a single accountable partner across strategy, build, and run. No hand-offs between a strategy firm, a dev shop, and a staffing agency. One team that owns the outcome.

Who we serve

We work with financial services and insurance firms first, alongside retail, consumer goods, and other regulated or data-intensive businesses, where data is sensitive, systems carry decades of history, and AI has to be explainable before it is allowed near a decision.

AI doesn't fix bad data. It scales it. We build the foundation and the intelligence together, so one can actually carry the other.

How we engage

Advisory sprints when you need direction fast. Project delivery when there's something to build. Managed teams and staffing when you need capability that stays. Most clients start small and expand as trust is earned, and we prefer it that way.

Careers

We hire practitioners who like hard data problems and real accountability. Small team, senior peers, work that ships into financial services, insurance, retail, and other enterprise environments.

What we offer

Competitive payMarket-rate salary with performance bonus
Health coverageMedical, dental, and vision for you and family
Remote-friendlyRemote-first within the United States
401(k)Retirement plan with company match
PTO that's realGenerous paid time off, actually taken
Learning budgetAnnual stipend for certifications and courses
Senior peersWork directly with experienced practitioners
Early-stage upsideShape the firm, not just the projects

Open positions

About the role

Build and modernize data pipelines for enterprise clients in financial services, insurance, and retail: cloud data platforms, ELT, and the data quality tooling that keeps analytics trustworthy.

What you'll need

  • 5+ years in data engineering (SQL, Python, and a modern cloud platform such as Azure, AWS, or GCP)
  • Hands-on experience with pipeline orchestration and data modeling
  • Comfort working directly with client stakeholders; financial services, insurance, or retail data experience is a plus

About the role

Design and ship AI applications for enterprise clients (claims and underwriting automation, document intelligence, agentic workflows, and LLM-powered tools) and stand up the infrastructure to run them in production.

What you'll need

  • 3+ years in ML or software engineering with recent LLM application work
  • Experience deploying models or AI services to production (APIs, evals, monitoring)
  • Pragmatism: you optimize for what ships, not what demos

About the role

Lead master data and governance engagements: customer, product, and party data, stewardship operating models, MDM platform selections and rollouts, and AI-ready data.

What you'll need

  • 7+ years in enterprise data management, MDM, or governance consulting
  • Experience with at least one major MDM platform (Informatica, Stibo, Reltio, or similar)
  • Executive-level communication: you can brief a CDO and coach a steward

Apply

Pick a role, attach your CV, and tell us briefly why you. Applications route directly to our hiring team, and we respond to every one within five business days.

Don't see your role? Apply anyway under "General application" and we keep strong profiles on file for client engagements.

Your application goes straight to our hiring team, and a real person reads it.

Contact

Tell us where your data or AI program stands. We'll come back within one business day with an honest read on whether and how we can help.

Reach us directly

Prefer to write to us directly? Use the details below.

Business inquirieshello@datacenttechnologies.com
Careerscareers@datacenttechnologies.com
Address
Datacent Technologies
2150 S Central Expressway, Suite 200-341
McKinney, TX 75072

We reply within one business day.