A focused course, tailored for you
Investment Bank Data Risk Management AVP Pivot
An integrated Data Risk Management AVP pivot for US investment bank AVPs in 2026: customer-side data-governance framework, customer-side data-quality framework, customer-side EU AI Act integration, customer-side audit-trail integration.
Investment bank Data Risk Management AVPs balance customer-side data-governance framework, customer-side data-quality framework, customer-side EU AI Act integration, customer-side audit-trail integration. The course delivers the integrated playbook.
$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
Assistant Vice Presidents in Data Risk Management at US investment banks balance customer-side data-governance framework, customer-side data-quality framework, customer-side EU AI Act integration, customer-side audit-trail integration. The customer's CDO asks for an integrated AVP response. The default AVP handles each as a separate workstream.
The course delivers the integrated playbook. Customer-side data-governance framework. Customer-side data-quality framework. Customer-side EU AI Act integration. Customer-side audit-trail integration. Customer-side data-platform integration. Customer-side workforce integration. Customer-side governance integration. Customer engagement structure. Twelve modules with deliverables. Plus a hand-built playbook for your specific function.
The 12 modules
Module 1. The 2026 US investment bank Data Risk Management AVP landscape
Walkthrough of the 2026 US investment bank Data Risk Management AVP landscape. The the firm Data Risk Management profile. The the firm Chase Data Risk Management profile. The Goldman Sachs Data Risk Management profile. The Citi Data Risk Management profile. The Bank of America Data Risk Management profile. The competitive landscape across US investment bank Data Risk Management AVPs. Plus the integration with the customer's existing programme cadence.
Module 2. Customer-side data-governance framework
Build the customer-side data-governance framework. The customer-side data-classification framework. The customer-side data-ownership framework. The customer-side data-stewardship framework. The customer-side data-contracts framework. The integration with the customer's existing data-governance committee cadence. Plus the worked example for the customer's first integrated data-governance cycle.
Module 3. Customer-side data-quality framework
Build the customer-side data-quality framework. The customer-side data-quality-rule framework. The customer-side data-quality-monitoring framework. The customer-side data-quality-remediation framework. The customer-side data-quality-reporting framework. The integration with the customer's existing data-quality cadence. Plus the worked example for the customer's first integrated data-quality cycle.
Module 4. Customer-side EU AI Act integration
Build the customer-side EU AI Act integration. The customer-side AI use-case taxonomy. The customer-side EU AI Act high-risk classification framework. The customer-side conformity-assessment framework. The customer-side post-market-monitoring framework. The integration with the customer-side AI governance framework. Plus the worked example for a customer's first three high-risk AI use cases.
Module 5. Customer-side audit-trail integration
Build the customer-side audit-trail integration. The decision-log structure. The override-log structure. The model-version-log structure. The integration with the customer's existing audit-trail infrastructure. The integration with the customer's existing SIEM. The integration with the customer's existing GRC platform. Plus the worked example for the customer's typical audit-evidence response.
Module 6. Customer-side data-platform integration
Build the customer-side data-platform integration. The customer's existing data-warehouse integration. The customer's existing data-lake integration. The customer's existing data-catalog integration. The customer's existing data-lineage framework integration. The integration with the customer's existing data-governance framework. Plus the worked example for the customer's typical data-platform footprint.
Module 7. Customer-side workforce integration
Build the customer-side workforce integration. The Data Risk Management AVP role evolution. The Data Risk Management Officer role evolution. The Data Risk Management Analyst role evolution. The customer-side training framework. The customer-side competency-assessment framework. Plus the worked example for the customer's first 12 months of workforce integration.
Module 8. Customer-side governance integration
Build the customer-side governance integration. The customer-side risk-management committee integration. The customer-side audit committee integration. The customer-side compliance committee integration. The customer-side AI governance committee integration. The integration with the customer's existing board cadence. Plus the worked example for the customer's typical multi-committee governance cadence.
Module 9. Customer-side observability integration
Build the customer-side observability integration. The customer's existing Datadog integration. The Splunk integration. The Microsoft Sentinel integration. The Dynatrace integration. The New Relic integration. The Prometheus integration. The Grafana integration. The OpenTelemetry integration. Plus the worked example for the customer's typical observability stack.
Module 10. Customer-side model risk management framework integration
Build the customer-side model risk management framework integration. The customer-side model-development framework. The customer-side model-validation framework. The customer-side model-monitoring framework. The integration with the customer's existing model risk management cadence. Plus the worked example for the customer's first three models under integrated MRM.
Module 11. Customer engagement structure
Build the customer engagement structure. The discovery phase. The diagnostic phase. The transformation phase. The sustainment phase. The renewal conversation. The customer-side programme-governance committee integration. Plus the worked example for a 12-month customer engagement and the pricing framework. Plus the worked example for the customer's typical operating model under the integrated framework and the reference pattern from peer customer organisations.
Module 12. Your 10-week build plan
Week by week. Weeks 1-2: landscape and customer-side data-governance framework. Weeks 3-4: customer-side data-quality framework and EU AI Act integration. Weeks 5-6: customer-side audit-trail integration and data-platform integration. Weeks 7-8: workforce, governance, observability. Weeks 9-10: model risk management framework, customer engagement structure. Deliverable: an integrated Data Risk Management AVP pivot ready for the next 12-month programme.
How this addresses your situation
Specific modules that map to what you said you are dealing with.
Data governance → Module 2.
Data quality → Module 3.
EU AI Act → Module 4.
Audit trail → Module 5.
Data platform → Module 6.
Workforce → Module 7.
Governance → Module 8.
MRM → Module 10.
Who it is for
For Assistant Vice Presidents in Data Risk Management at US investment banks, principal AVPs at peer US investment banks.
Who this is NOT for. Pure non-investment-banking practitioners.
How it arrives
Text-based course via LMS, plus downloadable templates and worked examples and the hand-built playbook.
Time investment. Roughly 18 hours of reading and 60 to 120 hours of build effort across the 10-week plan.
Why $199 is the right number
External Data Risk Management consultants charge from 100,000 to 500,000 USD. 199 USD buys the focused playbook and the implementation document for your specific function.
FAQ
Does this cover commercial banking Data Risk Management?
Module 1 covers commercial banking adjacency.
What about asset management Data Risk Management?
Module 1 covers asset management adjacency.
Does this cover wealth management Data Risk Management?
Module 1 covers wealth management adjacency.
What is in the implementation playbook for me specifically?
Data Risk Management AVP pivot tuned to your specific function.
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.
