A tailored course, built for your situation
Mastering SOC 2 for Data Science Leaders in High-Growth Tech
Build audit-ready systems that scale across teams and influence security outcomes at pace
$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.
Most data scientists only engage with compliance when it lands on their desk, reactive, fragmented, and high-friction.
Who this is for
Senior data science practitioners in fast-scaling tech companies who are expected to deliver robust, compliant systems without formal security or audit training.
Who this is not for
Entry-level analysts, auditors, or compliance officers whose scope doesn’t include data architecture or system design.
What you walk away with
- Structure data workflows to meet SOC 2 requirements by design, not remediation
- Earn a documented role in security and compliance planning cycles
- Communicate control decisions clearly to non-technical stakeholders
- Reduce rework during audit cycles with pre-validated system templates
- Expand influence into product and infrastructure planning forums
The 12 modules (with all 144 chapters)
Module 1. Why SOC 2 Matters for Data Science at Scale
Understand how SOC 2 is evolving beyond audit checklists to shape data system design and governance in high-growth tech environments.
12 chapters in this module
- How SOC 2 defines trust in customer data handling
- The shift from compliance as gatekeeper to strategic enabler
- Data science’s growing role in system trustworthiness
- Real-world examples of data teams shaping SOC 2 scope
- Why 'audit readiness' starts long before auditor questions
- How data leaders are influencing control ownership
- Common misconceptions about compliance and data teams
- The cost of treating SOC 2 as an afterthought
- How Shopify-level scale increases visibility into controls
- Linking data workflows to Trust Services Criteria
- The rising expectation for proactive control design
- How this course maps to real practitioner outcomes
Module 2. Mapping Data Workflows to SOC 2 Controls
Break down how your existing data pipelines intersect with security, availability, and confidentiality criteria.
12 chapters in this module
- Identifying which data flows fall under SOC 2 scope
- Tracing extract-transform-load processes to control points
- Classifying data handling steps for risk exposure
- Common control gaps in batch and real-time pipelines
- Documenting access patterns for audit traceability
- How model deployment affects availability commitments
- Data retention policies and their control implications
- Versioning data pipelines for reproducible audits
- Logging execution events for forensic readiness
- Mapping roles and responsibilities across data teams
- Integrating change management into pipeline workflows
- Using metadata to demonstrate control consistency
Module 3. Designing Audit-Ready Data Architectures
Learn how to build systems with inherent auditability, reducing rework and increasing trust across stakeholders.
12 chapters in this module
- Architectural patterns that support SOC 2 compliance
- Embedding control logic directly into data workflows
- Using schema design to enforce data integrity
- Securing pipeline orchestration layers
- Access control models for multi-team environments
- Designing for separation of duties in data jobs
- Automated validation checks at ingestion points
- Encryption strategies for data at rest and in motion
- Secure secrets management in CI/CD pipelines
- Audit trail generation without performance penalty
- Version-controlled infrastructure for repeatable setups
- Template-based architecture for consistent deployment
Module 4. Building Repeatable Compliance Evidence
Shift from one-off documentation to scalable artefacts that satisfy auditors across cycles.
12 chapters in this module
- Creating living system narratives for auditors
- Automating evidence collection from pipeline logs
- Standardizing runbooks for recurring control tests
- Developing self-documenting workflow templates
- Generating time-bound screenshots with context
- Using code annotations to explain control logic
- Maintaining up-to-date responsibility matrices
- Automating user access reviews for SOC 2 scope
- Producing test records that stand up to scrutiny
- Integrating evidence checks into sprint planning
- Versioning compliance documentation alongside code
- Building internal reviewer confidence pre-audit
Module 5. Communicating Control Decisions to Executives
Turn technical choices into clear narratives that resonate with leadership and cross-functional partners.
12 chapters in this module
- Translating control requirements into business impact
- Framing data decisions in terms of risk tolerance
- Creating executive summaries of control posture
- Using visuals to explain complex data flows
- Avoiding jargon while maintaining precision
- Highlighting trade-offs in audit-driven design
- Preparing for leadership Q&A on compliance status
- Demonstrating proactive risk management
- Linking data governance to customer trust metrics
- Telling a coherent story across audit cycles
- Positioning your team as compliance enablers
- Gaining strategic visibility through clear reporting
Module 6. Integrating SOC 2 into Data Lifecycle Planning
Ensure compliance is embedded from ideation through retirement, not added at the end.
12 chapters in this module
- Applying SOC 2 criteria during project scoping
- Assessing new data sources for compliance impact
- Integrating control design into sprint planning
- Conducting lightweight risk assessments early
- Defining data handling expectations up front
- Aligning model training pipelines with confidentiality
- Planning for data deletion and retention compliance
- Designing for auditability from day zero
- Building control-awareness into onboarding
- Reviewing tech debt through a SOC 2 lens
- Updating system documentation in parallel with development
- Retiring systems with compliance closure
Module 7. Collaborating Across Security, Engineering, and Product
Lead cross-functional alignment without formal authority by speaking the language of shared outcomes.
12 chapters in this module
- Understanding security team priorities and constraints
- Aligning data pipelines with infrastructure controls
- Engaging product teams on data feature compliance
- Building shared definitions of 'audit readiness'
- Facilitating control handoffs between teams
- Resolving ownership disputes over control boundaries
- Running joint tabletop exercises for incident response
- Creating feedback loops with internal audit
- Translating SOC 2 requirements for non-technical peers
- Running cross-functional control design sessions
- Using shared templates to align documentation
- Establishing trust through consistent delivery
Module 8. Mastering the Trust Services Criteria
Develop a practical, implementation-focused understanding of the five pillars of SOC 2 compliance.
12 chapters in this module
- Security (Confidentiality and Integrity) in data workflows
- Availability metrics and their impact on SLOs
- Processing integrity in automated decision systems
- Confidentiality controls for sensitive data handling
- Privacy criteria and their overlap with data protection
- Mapping data pipeline steps to each criterion
- Common misinterpretations of control scope
- How machine learning models affect processing integrity
- Demonstrating compliance across distributed systems
- Documenting intent behind control design choices
- Using third-party attestations to reduce burden
- Preparing for auditor line-of-inquiry follow-ups
Module 9. Implementing Automated Testing for SOC 2
Move beyond manual checks and build confidence through continuous compliance validation.
12 chapters in this module
- Identifying tests suitable for automation
- Building control-specific test cases for pipelines
- Integrating tests into CI/CD workflows
- Using synthetic transactions to validate availability
- Automated scanning for secrets in code
- Testing access controls across environments
- Validating encryption settings programmatically
- Monitoring control drift over time
- Generating test outcome reports for auditors
- Setting up alerts for control violations
- Maintaining test suites across system changes
- Scaling test coverage with minimal overhead
Module 10. Managing Vendor and Third-Party Risks
Extend your control framework to external dependencies and cloud services.
12 chapters in this module
- Assessing third-party tools in your data stack
- Evaluating SOC 2 reports from vendors
- Identifying shared responsibility boundaries
- Mapping SaaS tools to control domains
- Managing API security in external integrations
- Auditing data movement to and from third parties
- Ensuring sub-processors comply with standards
- Negotiating contract terms with compliance in mind
- Tracking vendor attestations over time
- Building contingency plans for vendor non-compliance
- Documenting due diligence for auditor review
- Reducing vendor-related audit findings
Module 11. Leading Continuous Compliance Improvements
Turn compliance from a periodic event into a continuous practice that evolves with your systems.
12 chapters in this module
- Establishing a rhythm for control reviews
- Tracking compliance debt like technical debt
- Using audit findings to prioritize improvements
- Running post-mortems after compliance incidents
- Updating control frameworks after system changes
- Scaling best practices across teams
- Sharing learnings across departments
- Institutionalizing compliance knowledge
- Building playbooks for recurring scenarios
- Using metrics to demonstrate progress
- Aligning with evolving regulatory expectations
- Creating a culture where compliance enables innovation
Module 12. Scaling Your Influence as a Compliance Enabler
Position yourself as a go-to partner for secure, compliant innovation across the organization.
12 chapters in this module
- Identifying opportunities to expand your role
- Volunteering for cross-functional compliance tasks
- Mentoring peers on SOC 2 fundamentals
- Presenting case studies of successful implementations
- Contributing to internal policy development
- Advising product teams on compliance-by-design
- Building credibility through consistent delivery
- Creating reusable assets for other teams
- Being sought after for compliance-sensitive projects
- Shaping how data governance evolves
- Earning recognition from senior leaders
- Expanding your impact beyond your immediate team
How this maps to your situation
- High-growth tech environment with expanding data systems
- Data science leadership without formal compliance background
- Increasing demand for audit-ready data infrastructure
- Need to influence beyond immediate team boundaries
Before vs. after
Before
Compliance feels like something that happens to your team , reactive, fragmented, and outside your control.
After
Your systems are built to meet SOC 2 standards by design, and your role in shaping them is formally recognized across the organization.
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 of focused learning, designed to fit into a single Sunday morning.
If nothing changes
Without a proactive approach, data teams face increasing rework, escalations during audit cycles, and missed opportunities to lead on security and trust initiatives. The longer compliance is treated as separate from development, the higher the cost of integration , both in time and credibility.
How this compares to the alternatives
Generic SOC 2 courses focus on auditors or compliance officers , this course is built specifically for data science practitioners in high-growth tech who need to deliver systems that are both innovative and audit-ready.
Frequently asked
Who is this course for?
Data science leaders in high-growth tech companies who influence system design and want to proactively shape compliance outcomes.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me pass a SOC 2 audit?
Yes , by helping you build systems that are audit-ready from the start, reduce rework, and provide clear evidence when needed.
$199 one-time. Approximately 90 minutes of focused learning, designed to fit into a single Sunday morning..
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