Data Management

AIGard helps you organize, govern and protect data across its lifecycle, so people can find it, trust it and use it safely. We put quality, lineage and access rules in place.

The work typically covers:

• Data governance frameworks
• Data quality rules and monitoring
• Metadata and lineage tracking
• Master data management
• Access control and privacy
• Retention and archiving policies

Data Management is usually the right investment in one or more of these situations:

• No one is sure which dataset is correct
• Regulations require you to prove where data came from
• Sensitive data is spread across systems
• Data teams spend more time fixing than analyzing

On a 30-minute scoping call we confirm whether it fits your case and recommend a team shape and first milestones.

Data governance should start with the few datasets that matter most to the business and expand from there. AIGard avoids large upfront frameworks that no one follows.

For those priority datasets we put quality rules, lineage tracking and access controls in place, so people can find the data, trust it and use it safely. Once the approach works in practice, the same rules are extended to further datasets and systems.

AIGard protects personal data with masking, tokenization, access controls and audit logging, aligned to GDPR and HIPAA where relevant.

These controls form part of the wider access and privacy rules we put in place across the data lifecycle, alongside retention and archiving policies. Our engineers work inside your environment under least-privilege access, which matters particularly when sensitive data is spread across several systems.

With the decisions the business needs to make, then the data required to support them.

We assess your sources, quality and existing platforms first, and tell you plainly what your data can and cannot support before recommending an architecture.

PII masking, encryption and audit logging are built into data work, and engineers operate inside your environment under least-privilege access.

Data-handling requirements are agreed during scoping and checked before release.

For Data Management, AIGard engineers typically work with Databricks, Snowflake, dbt, BigQuery and Airflow.

The stack is selected to fit the systems you already run, and engineers are matched to it before they join.

Data Management is available through any of AIGard’s three engagement models: staff augmentation, where engineers join your team; a dedicated team that runs the workstream; or software outsourcing, where AIGard delivers a defined project.

The choice depends on how much of the delivery you want to manage, and it can change later under the same agreement.

Engineers typically start within two to four weeks of the scoping call. The exact date depends on the roles, seniority and number of people required.

We confirm a realistic start date in writing before you commit, and you meet the proposed engineers before work begins.

AIGard engineers typically cost 30–50% less than the fully loaded cost of a comparable US-based hire, with no recruiting fees, benefits overhead or insurance costs on your side.

The figure for a specific engagement depends on the model, the roles, the seniority mix and the size of the team. We issue a written proposal after the scoping call, so the commercial terms are agreed before any work starts.

NDAs are signed before any access is given, and engineers work inside your environment under least-privilege access, with permissions limited to their responsibilities.

Access is reviewed as roles change and removed when work ends. Our practices align with ISO 27001, SOC 2, GDPR and HIPAA, with PII masking, encryption and audit logging built into data work. We review your access policies, data-handling needs and vendor requirements during scoping.

You do. Intellectual property assignment is written into every contract, in every engagement model.

That covers source code, designs, documentation, data, models and prompts produced for you. Third-party components and their licenses are identified, so ownership is clear at handover.