Description

A focused course, tailored for you

Building a Data Governance Programme for IT Services Client Engagements (Stewardship + Quality + Privacy + Catalog + Lineage)

Build the data governance programme that ships to client engagements in 10 weeks. Stewardship model + quality framework + privacy controls + catalog + lineage + executive engagement.

Data governance moved from compliance afterthought to procurement requirement in regulated industries. Clients ask IT services partners for data-governance maturity assessments before they award the data engagement. Data managers who can ship the programme take the senior work. Here is the 10-week build.

$199 one-time

Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

Data governance crossed a maturity threshold in 2024-2026. Major-enterprise clients (especially financial services, healthcare, federal, EU companies subject to CSRD) now require data-governance programme assessment before awarding data engagements. They want stewardship roles documented, data quality controls active, privacy controls aligned to GDPR/CCPA/HIPAA, catalog deployed with semantic richness, and lineage captured end-to-end.

Most IT services practices ship pipeline-and-warehouse engagements. Data managers that can ship the data-governance programme take the senior work and the recurring revenue.

This course teaches the 10-week build of a shippable data-governance programme: stewardship operating model, quality framework, privacy controls, catalog implementation, lineage architecture, regulator alignment, and the executive engagement model. Twelve modules with deliverables. Plus a hand-built implementation playbook for your specific client engagement profile.

What you walk away with

A documented data stewardship operating model.
A data quality framework integrated with delivery pipelines.
A privacy controls framework (GDPR + CCPA + HIPAA + sector overlays).
A data catalog implementation pattern.
A lineage architecture covering producers and consumers.
A regulator alignment matrix (sector-specific).
An executive engagement model.
A 10-week build plan.

The 12 modules

Module 1. Data governance landscape 2026

Detailed walkthrough of the 2026 data governance landscape: catalog ecosystem (Atlan, Datahub, Alation, Collibra, Informatica, Unity Catalog, Polaris), governance frameworks (DCAM, DAMA-DMBOK, EDM Council DCAM), regulator expectations (BCBS 239 for banks, HIPAA for health, GDPR for EU, CCPA for California, EU AI Act for AI training data, NAIC AI Bulletin for insurance), and the consulting-engagement implications.

Module 2. Data stewardship operating model

Build the data stewardship operating model: data-owner roles, data-steward roles (business + technical), data-custodian roles, stewardship committee structure, decision-rights matrix, escalation workflow, and the integration with broader IT operating model. Three stewardship patterns from peer client engagements.

Module 3. Data quality framework

Build the data quality framework: contract-level quality assertions (uniqueness, not-null, accepted-values, freshness, relationships, completeness), test orchestration (Great Expectations, dbt tests, Soda, Monte Carlo, Bigeye), failure-handling (alert + block + degrade), consumer-facing quality dashboards, and the quality-incident response. The framework integrated with delivery pipelines.

Module 4. Privacy controls framework

Build the privacy controls framework: PII detection and classification, data-subject-rights workflow (access, rectification, erasure, portability), lawful-basis tracking, consent management, cross-border-transfer model (SCCs, adequacy, DPF), processor-vs-controller distinction, breach-notification workflow, and the integration with broader compliance. The framework aligned to GDPR, CCPA, HIPAA, and sector overlays.

Module 5. Data catalog implementation

Build the catalog implementation: catalog selection (Atlan, Datahub, Alation, Collibra, Informatica, Unity Catalog, Polaris), metadata ingestion patterns (automated discovery + manual curation), semantic enrichment (business glossary, data domains, lineage), access control integration, and the catalog adoption model. Three catalog implementation patterns from peer engagements.

Module 6. Lineage architecture

Build the lineage architecture: column-level lineage capture (OpenLineage, Marquez, Atlan, Datahub, Alation), source-to-consumer traceability, impact-analysis workflow (which consumers break if producer changes), visualisation pattern, and the lineage maintenance model. The lineage that makes change-management and compliance tractable.

Module 7. Master data management

Build the master data management: domain identification (customer, product, location, employee, vendor), match-and-merge logic, golden-record creation, hierarchy management, and the MDM tool selection (Informatica MDM, Reltio, Tibco EBX, in-house). Three MDM patterns from peer engagements.

Module 8. Sector-specific regulator overlays

Build the sector-specific regulator overlays: financial-services (BCBS 239, FRTB, BSA/AML), healthcare (HIPAA, FHIR data exchange), federal (FedRAMP data residency, FISMA), insurance (NAIC AI Bulletin, state DOIs), EU (GDPR, CSRD, EU AI Act), and the cross-sector overlay framework that ships with each engagement.

Module 9. AI governance integration

Build the AI governance integration: training-data lineage capture, training-data quality assertions, training-data privacy controls (synthetic data, differential privacy, federated learning), AI-model registration and lineage, EU AI Act data-governance template integration (Article 10), and the consumer-facing AI explainability. The AI governance overlay for data engagements.

Module 10. Engagement delivery pattern

Build the engagement delivery pattern: client-assessment workflow (current-state maturity, gap analysis, target-state design), pilot-design (which data domain first), capability-pack with templates and code, handover and training, and the post-engagement support model. The delivery pattern that ships a governance programme to a client in 10 weeks.

Module 11. Executive and board engagement

Build the executive and board engagement: CDO partnership, CISO partnership (privacy controls), CCO partnership (regulatory alignment), CTO partnership (catalog and lineage technology), CFO partnership (governance budget), and the board-of-directors reporting cadence. Data governance metrics the board reads.

Module 12. Your 10-week build plan

Week-by-week plan with weekly deliverables. Weeks 1-2: data governance landscape + stewardship operating model. Weeks 3-4: data quality framework + privacy controls framework. Weeks 5-6: catalog implementation + lineage architecture. Weeks 7-8: master data management + sector-specific overlays. Weeks 9-10: AI governance integration + engagement delivery pattern + executive engagement. Deliverable: shippable data governance programme.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Module 1 covers the landscape.

Modules 2 to 7 produce stewardship, quality, privacy, catalog, lineage, and MDM.

Modules 8 to 9 cover sector overlays and AI governance integration.

Module 10 covers engagement delivery pattern.

Module 11 covers executive engagement.

Module 12 covers the 10-week build plan.

What you get with this course

The 12-module course delivered as text plus downloadable templates.
Templates for data stewardship operating model, data quality framework, privacy controls framework, catalog implementation pattern, lineage architecture, master data management, sector-specific regulator overlays, AI governance integration, engagement delivery pattern, executive engagement.
A hand-built implementation playbook generated for your specific client engagement profile.
Three worked examples of data governance programmes at peer client engagements.
Scripted talking points for the CDO and CCO conversation.

What you will have in hand by Day 1, Week 1, Month 1

Day 1: Stewardship operating model scaffold drafted.

Week 4: Data quality framework + privacy controls built.

Week 8: Catalog + lineage operational.

Week 10: Shippable programme delivered to first client.

Before and after

Before

Your firm ships pipeline-and-warehouse engagements. Clients increasingly ask for data-governance maturity assessment before awarding the work. The current engagement pack is not ready.

After

A shippable data-governance programme is in place. Stewardship operating model, quality framework, privacy controls, catalog, lineage, MDM are all designed. Sector-specific overlays ship with each engagement. AI governance integration is operational.

What happens if you do not address this

Data governance moved from compliance afterthought to procurement requirement. IT services firms without a shippable programme lose engagements.

Who it is for

For data managers, data governance leads, consulting practice leaders, and chief data officers at IT services firms shipping data governance engagements.

Who this is NOT for. Pure research roles. Firms not shipping data engagements. Firms with no client-engagement scope.

How it arrives

Text-based course via LMS, plus downloadable templates and the hand-built implementation playbook.

Time investment. Roughly 18 hours of reading and 80 to 150 hours building the first shippable programme.

Why $199 is the right number

External data governance consultants charge $200K-$1.5M for engagements. Big4 data advisory engagement runs $500K-$3M. Specialist data governance firms charge $300K-$1M. $199 buys the focused playbook plus the implementation document for your client engagement profile.

FAQ

Will this replace hiring a data governance consultant?

Partially. It teaches the programme build. You may still want specialist input for novel sector-specific compliance.

What if my engagements are catalog-anchored (Atlan, Datahub)?

Module 5 covers each catalog in detail.

Does this cover semantic-layer integration?

Module 5 covers semantic layer as adjacent capability.

What about reverse-ETL governance?

Module 6 covers reverse-ETL lineage.

What is in the implementation playbook for me specifically?

Stewardship operating model tailored to your typical client engagement; governance templates matched to your tech stack; a 10-week build plan.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.