Skip to main content
Image coming soon

SEC2964 Mastering SOC 2 for Senior Data Scientists in Regulated Environments

$199.00
Adding to cart… The item has been added

A tailored course, built for your situation

Mastering SOC 2 for Senior Data Scientists in Regulated Environments

Build defensible data governance systems with source-backed reasoning and specific examples on hand when peers push back.

$199 one-time
24-hour access provisioning 30-day money-back guarantee Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
SOC 2 audits stall when teams can't reconcile technical reality with control expectations.

The situation this course is for

Data scientists often find themselves defending system designs in SOC 2 reviews without clear precedent or traceable logic. When challenged during cross-functional reviews, responses default to 'this is how we built it' rather than 'here’s why this meets control intent'. This creates rework, delays, and weakened credibility, even when systems are secure and functional.

Who this is for

Senior Data Scientists in regulated tech firms who own or influence data architecture and governance decisions under compliance frameworks.

Who this is not for

Entry-level analysts, pure-play engineers without data ownership, or compliance staff without technical implementation responsibility.

What you walk away with

  • Articulate SOC 2 control intent using real-world examples and framework-aligned logic
  • Respond to peer challenges with traceable sources and documented precedents
  • Map data system designs directly to SOC 2 trust principles with confidence
  • Reduce rework during internal reviews by presenting defensible compliance narratives
  • Strengthen cross-functional influence through consistent, evidence-backed reasoning

The 12 modules (with all 144 chapters)

Module 1. Understanding SOC 2 in the Data Pipeline Lifecycle
Explore how SOC 2 trust principles intersect with data ingestion, transformation, and access layers specific to cloud-native platforms.
12 chapters in this module
  1. Defining SOC 2 scope for data science workloads
  2. Identifying data at rest and in motion for security classification
  3. Aligning data lifecycle stages with SOC 2 trust principles
  4. Common misalignments between engineering implementation and auditor expectations
  5. Case study: Data pipeline review under SOC 2 Type II
  6. Roles and responsibilities across data and compliance teams
  7. Regulatory context for data handling in multi-cloud environments
  8. Evidence expectations for data access logs
  9. Data retention policies and compliance alignment
  10. Documentation standards for data lineage in SOC 2
  11. Integrating SOC 2 requirements into sprint planning
  12. Common pitfalls in early-stage data architecture reviews
Module 2. Security Principle and Data Access Controls
Cover access management, authentication, and authorization models that meet 'Security' trust criteria with verifiable implementation patterns.
12 chapters in this module
  1. Mapping IAM roles to data access requirements
  2. Implementing least privilege for data science teams
  3. Just-in-time access workflows for production datasets
  4. Attribute-based access control in multi-cloud environments
  5. Session management for notebook-based workflows
  6. Auditing access to sensitive data stores
  7. Encryption key ownership and access logging
  8. Segregation of duties between data engineers and scientists
  9. Detecting and alerting on anomalous data access
  10. Integrating access reviews into CI/CD pipelines
  11. SOC 2 evidence collection for access control testing
  12. Example: Access review report accepted by external auditor
Module 3. Availability and Data Reliability Design
Ensure uptime and recoverability of data systems through architecture choices that satisfy SOC 2 availability criteria.
12 chapters in this module
  1. SLA commitments for data pipelines and reporting systems
  2. Redundancy strategies across cloud regions
  3. Failover mechanisms for critical data services
  4. Backup and restoration procedures for analytics databases
  5. Monitoring availability of data APIs and interfaces
  6. Disaster recovery testing documentation
  7. MTTR benchmarks in regulated environments
  8. Capacity planning to prevent data downtimes
  9. Reporting uptime to compliance stakeholders
  10. Linking availability metrics to business impact
  11. Automating availability validation checks
  12. Example: DR test log accepted during audit review
Module 4. Processing Integrity in Data Transformations
Ensure accuracy and integrity of data transformations using controls that align with SOC 2 processing integrity requirements.
12 chapters in this module
  1. Validating data transformation logic for correctness
  2. Error handling and alerting in ETL pipelines
  3. Data quality checks at each pipeline stage
  4. Reconciliation of source-to-target data counts
  5. Immutable logging for transformation steps
  6. Monitoring drift in data schema definitions
  7. Version control for data transformation code
  8. Audit trails for data updates and corrections
  9. Handling batch failures without data loss
  10. Automated validation of output against input rules
  11. Documenting transformation logic for auditors
  12. Example: Pipeline validation report from audit package
Module 5. Confidentiality of Sensitive Data Outputs
Implement controls to protect classified or PII-containing data outputs across storage and sharing channels.
12 chapters in this module
  1. Classifying data outputs by sensitivity level
  2. Encryption of reports containing regulated data
  3. Secure sharing mechanisms for analytics outputs
  4. Masking PII in development and test environments
  5. Retention policies for confidential data sets
  6. Access logs for confidential report downloads
  7. DLP integration with data pipeline tools
  8. Labeling outputs with handling requirements
  9. Certification of data handling by downstream users
  10. Tracking declassification and archiving events
  11. Reviewing confidentiality controls in sprint retrospectives
  12. Example: Data classification flowchart used in team onboarding
Module 6. Privacy and Data Subject Rights Fulfillment
Design systems that support data subject rights, retention schedules, and lawful basis tracking under SOC 2 privacy criteria.
12 chapters in this module
  1. Mapping data flows for GDPR and CCPA compliance
  2. Right to access and data portability workflows
  3. Right to deletion in distributed systems
  4. Consent tracking for analytics use cases
  5. Data retention schedules by jurisdiction
  6. Anonymization techniques for secondary use
  7. Audit logs for data subject request handling
  8. Documentation of legal basis for processing
  9. Third-party data sharing disclosures
  10. Privacy notice alignment with data use
  11. Cross-border data transfer controls
  12. Example: DSAR response timeline from audit evidence
Module 7. Control Mapping from Policy to Implementation
Bridge the gap between compliance policy and technical implementation with traceable, source-backed mappings.
12 chapters in this module
  1. Translating SOC 2 requirements into technical controls
  2. Building control-to-implementation traceability matrices
  3. Documenting control ownership across teams
  4. Using architecture diagrams as evidence
  5. Versioning control mappings over time
  6. Integrating control evidence into documentation systems
  7. Review cycles for control effectiveness
  8. Common gaps between policy and actual configuration
  9. Auditor feedback on control mapping clarity
  10. Tools for maintaining living control documentation
  11. Example: Control mapping spreadsheet accepted by auditor
  12. Workshop: Map a new control from scratch
Module 8. Evidence Collection That Stands Up to Review
Produce audit-ready evidence packages that reduce back-and-forth and support clear reasoning.
12 chapters in this module
  1. Types of acceptable evidence for SOC 2 controls
  2. Sampling strategies for large data systems
  3. Automating log exports for access reviews
  4. Screenshot documentation with context
  5. Timestamped screenshots and metadata
  6. Using logs as first-party evidence
  7. API audit trails for system interactions
  8. Standardizing evidence naming and formats
  9. Reviewing evidence for completeness before submission
  10. Reducing evidence collection burden over time
  11. Auditor annotations and response workflows
  12. Example: Evidence pack accepted without follow-up
Module 9. Cross-Functional Narrative Development
Craft clear, consistent narratives that align data teams, auditors, and compliance stakeholders.
12 chapters in this module
  1. Developing a common vocabulary across teams
  2. Writing system descriptions that meet auditor needs
  3. Explaining technical choices in non-technical terms
  4. Aligning data governance with enterprise risk posture
  5. Narrative consistency across review cycles
  6. Integrating feedback from prior audits
  7. Simplifying complex architectures for clarity
  8. Using visuals to support written narratives
  9. Versioning and updating system narratives
  10. Workshop: Rewrite a dense technical paragraph
  11. Example: Auditor-approved system overview
  12. Template: Narrative development checklist
Module 10. Responding to Peer Challenges with Sources
Equip yourself with specific examples, precedents, and reasoning patterns to confidently answer peer review questions.
12 chapters in this module
  1. Anticipating common pushbacks on control scope
  2. Using AICPA guidance as authoritative sources
  3. Citing prior audit findings as precedent
  4. Referencing vendor documentation in justifications
  5. Leveraging internal policies as support
  6. Structuring responses: claim, source, example
  7. Avoiding defensiveness in technical debates
  8. When to escalate vs. when to clarify
  9. Building a personal reference library
  10. Practicing responses to common scenarios
  11. Case study: Resolving a scope dispute
  12. Template: Response playbook for peer reviews
Module 11. Building Defensible Data Governance Playbooks
Create living, shareable playbooks that survive team changes and maintain continuity.
12 chapters in this module
  1. Structuring playbooks for clarity and reuse
  2. Including rationale alongside procedures
  3. Version control for governance documentation
  4. Onboarding new team members using playbooks
  5. Integrating playbooks with runbooks
  6. Updating playbooks after audit findings
  7. Cross-referencing controls and evidence locations
  8. Searchable documentation for fast retrieval
  9. Permissions and access for playbook content
  10. Measuring playbook adoption across teams
  11. Example: Internal playbook accepted during M&A review
  12. Template: Governance playbook structure
Module 12. Maintaining Compliance in Evolving Data Architectures
Adapt governance practices as data systems scale and change without sacrificing defensibility.
12 chapters in this module
  1. Change management for data architecture updates
  2. Impact assessment for new data sources
  3. Revalidating controls after system changes
  4. Automated compliance checks in CI/CD pipelines
  5. Monitoring drift from approved designs
  6. Alerting on unauthorized configuration changes
  7. Quarterly control reviews with engineering leads
  8. Updating documentation in agile environments
  9. Scaling governance across multiple data domains
  10. Integrating compliance into data mesh patterns
  11. Future-proofing with modular control design
  12. Example: Change log from platform migration

How this maps to your situation

  • When SOC 2 scope expands to new data pipelines
  • Before the next auditor fieldwork begins
  • After receiving peer feedback on control rationale
  • During integration of new cloud data platforms

Before vs. after

Before
Spends time reconstructing justifications during peer reviews and audit cycles, often repeating explanations without documented precedent.
After
Responds to challenges with structured reasoning, traceable sources, and specific examples, reducing friction and reinforcing credibility.

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 90 minutes per week over 12 weeks, with flexible access to all materials.

If nothing changes
Without structured, defensible reasoning, even well-designed systems can be questioned during compliance reviews, leading to delays, rework, and weakened influence across teams.

How this compares to the alternatives

Unlike generic compliance courses, this program focuses specifically on data science contexts under SOC 2, with real-world examples and templates tailored to regulated environments. No other course connects technical implementation to auditor expectations with this level of specificity.

Frequently asked

Is this course focused on technical implementation or auditor requirements?
It bridges both. You'll learn how to implement controls that meet technical needs while producing evidence and narratives that satisfy auditor expectations.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive templates I can use at work?
Yes. Each module includes downloadable templates and worked examples you can adapt to your environment.
$199 one-time. Approximately 90 minutes per week over 12 weeks, with flexible access to all materials..

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

30-day money-back guarantee· 144 chapters· Hand-built playbook included· Account access within 24 hours
!