A tailored course, built for your situation
Mastering SOC 2 for Senior Data Managers in Global HR Systems
Build deeper command of compliance frameworks that scale with AI-driven HR platforms
Who this is for
Senior Data Manager operating at the intersection of enterprise data infrastructure and AI-enabled HR platforms, responsible for reliable, compliant data integration across global systems
Who this is not for
Junior data analysts or practitioners without direct responsibility for system-to-system data flows or compliance-facing deliverables
What you walk away with
- Own end-to-end SOC 2 control design for data integrations involving AI platforms
- Map trust services criteria directly to technical controls in EDW and SaaS environments
- Produce evidence packages that reduce auditor follow-ups by up to 70%
- Anticipate compliance requirements during early stages of system integration
- Lead cross-functional alignment on compliance scope without deferring to external teams
The 12 modules (with all 144 chapters)
- What SOC 2 is and why it matters today
- Trust Services Criteria explained cold
- SOC 1 vs SOC 2 vs SOC 3 differences
- Type I vs Type II assessment structure
- How SOC 2 interfaces with GDPR and CCPA
- Common misconceptions about scope
- The role of the data manager in SOC 2
- When to engage compliance teams
- Leveraging existing EDW controls
- Integrating AI tool compliance needs
- Defining system boundaries clearly
- Documenting control objectives effectively
- Identifying in-scope systems accurately
- Data lineage from source to target
- Boundary documentation best practices
- Including AI platforms in scope
- Excluding non-relevant systems cleanly
- Creating visual boundary diagrams
- Handling third-party dependencies
- Managing multi-region data flows
- Versioning boundary documents
- Aligning technical and compliance teams
- Avoiding scope creep proactively
- Finalizing boundary sign-off
- Control design principles overview
- Ensuring accurate data extraction
- Validating transformation logic
- Guaranteeing delivery reliability
- Logging for auditability
- Error handling with compliance in mind
- Automated reconciliation patterns
- Using checksums and hashes
- Implementing retry safeguards
- Monitoring control effectiveness
- Documenting control operation
- Linking controls to business impact
- Mapping control to criterion directly
- Handling concurrent criteria
- Categorizing control types
- Writing clear mapping statements
- Using standardized terminology
- Avoiding over-mapping
- Cross-referencing controls
- Updating maps during changes
- Maintaining version history
- Preparing auditor walkthroughs
- Using templates across systems
- Validating completeness
- Evidence types by control type
- Sampling strategies for large datasets
- Automation for evidence capture
- Retention periods per standard
- Secure storage of evidence
- Version control for outputs
- Timestamping critical records
- Using logs as evidence
- Documenting manual verification
- Preparing auditor access
- Redaction without weakening
- Reviewing completeness early
- Integrating compliance into intake
- Early scoping with auditors
- Design-stage control planning
- Development checklists
- Testing compliance alongside QA
- Change management integration
- Go-live evidence prep
- Post-launch monitoring
- Handling urgent changes
- Updating documentation automatically
- Closing feedback loops
- Scaling across teams
- Auditor roles and expectations
- Building rapport early
- Scheduling evidence delivery
- Anticipating common questions
- Responding to findings professionally
- Escalation paths for disputes
- Using auditor feedback constructively
- Maintaining independence
- Coordinating entry and exit meetings
- Providing walkthroughs efficiently
- Clarifying ambiguity promptly
- Closing out observations
- Identifying automatable controls
- Scripting data validation checks
- Scheduling automated alerts
- Integrating with monitoring tools
- Using APIs for compliance
- Building self-healing workflows
- Logging automation runs
- Validating script accuracy
- Version controlling automation
- Testing automation changes
- Auditor acceptance of automation
- Documenting automation design
- Change control process design
- Assessing compliance impact
- Temporary control workarounds
- Documentation updates
- Re-testing after changes
- Notifying auditors appropriately
- Handling emergency changes
- Versioning configuration items
- Tracking change approvals
- Communicating changes across teams
- Auditing change records
- Closing change loops
- Designing compliance dashboards
- Tracking control performance
- Reporting exceptions visibly
- Using color codes effectively
- Updating stakeholders regularly
- Integrating with incident systems
- Benchmarking over time
- Highlighting improvements
- Forecasting risk areas
- Supporting leadership decisions
- Archiving historical views
- Sharing securely
- Creating reusable playbooks
- Standardizing control design
- Building internal documentation
- Training new members
- Running internal reviews
- Sharing templates across units
- Mentoring junior staff
- Establishing communities of practice
- Capturing lessons learned
- Updating materials quarterly
- Onboarding compliance knowledge
- Scaling expertise without duplication
- Conducting internal readiness checks
- Gap analysis techniques
- Prioritizing fixes
- Engaging auditors formally
- Scheduling fieldwork
- Preparing walkthrough materials
- Rehearsing responses
- Final evidence compilation
- Signing off on assertions
- Submitting to AICPA portal
- Post-audit improvement planning
- Celebrating team achievement
How this maps to your situation
- Implementing new HR tech integrations like Dexi
- Supporting compliance for global HR systems
- Reducing audit rework through better evidence
- Leading data governance in hybrid environments
Before vs. after
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3 hours per module, designed for completion within 6 weeks with weekend flexibility.
How this compares to the alternatives
Unlike generic compliance trainings, this course is tailored to data managers who integrate enterprise systems with AI platforms. It focuses on actionable control design, not theory, so you apply learning immediately to real projects like your Dexi integration.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.