Description

A focused course, tailored for you

Privacy by Design for Platform Product Managers

Name: Privacy by Design for Platform Product Managers
Price: 199 USD
Availability: InStock

Build DPIA-ready features, write privacy-defensible PRDs, and ship products that pass regulatory review without stalling engineering.

Privacy Counsel needs a DPIA. Engineering is waiting on the PRD. You are in the middle with two clocks running, and neither side can move until the other does. This course is the bridge between regulatory obligation and product delivery.

$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

Product Managers at consumer platforms sit at the intersection of legal obligation and engineering velocity. A new feature that touches location data, on-device signals, or cross-context behavioural inference triggers a DPIA requirement under GDPR Article 35. CCPA and its amendments require documented data flow mapping before new data processing begins. FTC consent order frameworks require purpose limitation and data minimisation built into the product specification, not bolted on after QA. The problem is not that PMs do not understand privacy in principle. The problem is that the artefacts regulators expect do not map cleanly to the artefacts product teams produce. A DPIA is not a PRD. A data flow map is not a sprint plan. A privacy notice update is not a product changelog. This course closes that gap: it teaches the PM how to write privacy in the language both sides can act on.

What you walk away with

Run a complete DPIA for a new product feature under GDPR Article 35, from scoping through sign-off, without waiting for Legal to lead.
Write a PRD section on data minimisation, retention, and purpose limitation that Privacy Counsel approves on the first review.
Build a data flow map for a new feature that satisfies both the engineering sprint plan and the regulatory audit trail.
Identify which feature changes trigger a DPIA requirement and which do not, so you stop treating every update as a full-scope assessment.
Draft a layered privacy notice update that reflects a product change accurately and passes the plain-language test regulators apply.
Structure a legitimate interest assessment for ad measurement or personalisation features in jurisdictions where consent is contested.

The 12 modules

Module 1. The PM's Regulatory Map

A working map of the regulations that govern consumer platform features: GDPR, CCPA and US state privacy laws, FTC Act Section 5 consent order frameworks, and DSA/DMA requirements for large online platforms. Each regulation is distilled to the five questions a PM needs to answer before writing a PRD for a data-touching feature. Covers which laws apply by data type, by user geography, and by feature architecture rather than by company headquarters.

Module 2. Data Flow Mapping for Product Teams

How to build a data flow map that is useful in a sprint review AND defensible in a regulatory audit. Covers data element categorisation, controller-processor boundary identification, third-party SDK signal inventory, and on-device versus server-side processing distinctions. Includes a worked example mapping a new location-based feature from device sensor through ad attribution endpoint to DSP, identifying each data flow node that requires a processing basis.

Module 3. DPIA Scoping: When You Need One and When You Do Not

GDPR Article 35 requires a DPIA for high-risk processing, systematic large-scale monitoring, and new processing involving special categories. This module teaches the scoping criteria PMs use before involving Privacy Counsel so that engineering is not stalled waiting for a scope decision. Covers the ICO, CNIL, and DSK screening thresholds, how scale interacts with sensitivity, and how prior DPIAs can be reused or must be refreshed when a feature changes materially.

Module 4. Running the DPIA: From Blank Template to Signed Assessment

End-to-end walkthrough of a DPIA using the ICO, CNIL, and ISO 29134 templates. Covers necessity and proportionality assessment for the specific processing purpose, risk identification against the rights and freedoms of data subjects, mitigation measure selection, and residual risk documentation. Includes a worked DPIA for a consent-based ad personalisation feature, showing the exact language regulators accept at each section and the common gaps that lead to a request for further information.

Module 5. Privacy-Defensible PRD Writing

How to write the data minimisation, retention period, purpose limitation, and third-party sharing sections of a PRD so that Privacy Counsel can approve them on first read. Covers the difference between a business requirement and a privacy obligation, how to document a processing basis in a way that survives consent withdrawal and portability requests, and how to write acceptance criteria that the privacy QA reviewer can test against without a legal degree.

Module 6. Consent Architecture for Product Managers

Consent under GDPR must be freely given, specific, informed, and unambiguous. Under CCPA it must be granular enough to survive an opt-out request for each category of sale or sharing. This module covers consent UX requirements that are legally defensible, the distinction between consent and legitimate interest for platform advertising, dark pattern prohibitions under GDPR Recital 32 and the FTC, and how to design a consent refresh flow for existing users when processing purposes expand.

Module 7. Data Subject Rights at Scale

DSR flows for access, erasure, portability, and objection requests at consumer platform scale. Covers the technical requirements for a GDPR Article 20 portability response (machine-readable, interoperable format), how erasure propagates across a distributed data architecture including ad network partners, and how to write the DSR intake form and response SLA into the PRD so the feature ships with the rights infrastructure already built rather than retrofitted after a regulatory complaint.

Module 8. Legitimate Interest Assessments for Advertising Features

Legitimate interest under GDPR Article 6(1)(f) is the processing basis most frequently used for ad measurement, frequency capping, and attribution. This module walks the three-part LIA test: purpose test, necessity test, and balancing test. Covers how to document the balancing test for a contextual targeting feature versus a behavioural targeting feature, how LIA interacts with ePrivacy and the forthcoming EU ePrivacy Regulation, and the jurisdictions where LIA is not available as an alternative to consent.

Module 9. Privacy Notice Updates: Product Change to Published Notice

When a product feature changes processing purposes, adds a data category, or introduces a new third-party processor, the privacy notice must be updated before the feature ships. This module covers the change classification matrix (material change requiring user notification versus non-material change requiring notice update only), how to write a layered notice amendment that passes the plain-language test, and how to manage the notice update timeline relative to the engineering release calendar without blocking the launch.

Module 10. Vendor and SDK Assessment for New Integrations

Adding a third-party SDK, pixel, or API integration to a consumer platform creates a processor relationship under GDPR and a service provider relationship under CCPA. This module covers the DPA and CCPA addendum requirements PMs need to confirm before an integration ships, how to assess a vendor's sub-processor list for transfer risk, and how to handle integrations where the vendor's privacy posture does not meet the platform's own regulatory obligations. Includes a vendor assessment checklist in template form.

Module 11. Cross-Border Data Transfer Compliance

Standard Contractual Clauses, Binding Corporate Rules, the EU-US Data Privacy Framework, and adequacy decisions determine whether personal data from EU users can flow to US servers. This module covers which transfer mechanism applies to which data flow, how to implement SCCs in a platform architecture where data moves across multiple jurisdictions in a single request, and how to document transfer impact assessments for the data flows that carry the highest risk under the Schrems II proportionality standard.

Module 12. Building a Privacy Review Gate into the Product Lifecycle

Privacy is most expensive when it is retrofitted. This module covers how to build a privacy review gate into the product lifecycle at the PRD stage rather than at QA. Covers the review gate checklist, the DPIA trigger decision tree, the Privacy Counsel sign-off SLA, and how to track privacy debt across a product portfolio using the same tooling engineering uses for technical debt. Ends with a template for the quarterly privacy posture review PM leads for their product area.

How this addresses your situation

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

Engineering is asking when they can start sprint one and Legal has not cleared the DPIA yet: start with modules 3 and 4.

Privacy Counsel keeps sending PRD sections back for revision: modules 5 and 6 directly address the language gaps.

A DSR complaint landed and the erasure flow does not propagate to ad partners: module 7 covers the architecture.

A new SDK integration needs sign-off before the next release: module 10 is the assessment workflow.

What you get with this course

12 written modules in the Art of Service learning environment, self-paced
Downloadable DPIA template (ICO/CNIL/ISO 29134 aligned)
Privacy-defensible PRD section template
Vendor and SDK assessment checklist
Data flow mapping worksheet
Legitimate Interest Assessment three-part test template
Privacy review gate checklist for the product lifecycle
Hand-built implementation playbook tailored to the platform PM role, delivered alongside course access

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

Course access and hand-built implementation playbook provisioned within 24 hours of purchase

Before and after

Before

PRD reviews stall while waiting for Legal to lead the DPIA. Engineering delays accumulate. Privacy obligations are retrofitted after QA at high cost and friction.

After

PRD includes privacy-defensible sections that Privacy Counsel approves first read. DPIA is scoped and run by the PM before engineering starts. Privacy is a gate, not a blocker.

What happens if you do not address this

GDPR Article 83 fines for failing to carry out a required DPIA can reach 2 percent of global annual turnover. FTC consent order violations carry $50,000 per violation per day. More immediately: a feature that ships without a completed DPIA is the PRD that becomes Exhibit A in the next regulatory inquiry.

Who it is for

A Product Manager or Senior PM at a consumer internet, social, or advertising technology platform who owns features that process personal data and is accountable for ensuring those features comply with GDPR, CCPA, and applicable US state privacy law before they ship. Typically works closely with Privacy Counsel, Privacy Engineering, and a Data Protection Officer. Has intermediate familiarity with privacy regulation but has never run a DPIA end-to-end or written a privacy-defensible PRD from scratch.

Who this is NOT for. Compliance officers who do not own product decisions. Privacy Engineers who already write DPIAs. Lawyers who want legal theory. Product Managers at B2B SaaS companies whose products do not process consumer personal data at scale.

How it arrives

Text-based course in the Art of Service learning environment, plus downloadable templates and worked examples for every module, plus the hand-built implementation playbook delivered alongside course access.

Time investment. 12 modules, approximately 30-45 minutes each. Most learners complete the course over two to three weeks while applying each module to a current PRD or feature in active development.

Why $199 is the right number

Privacy Counsel leads the DPIA and the PRD waits: high legal cost, engineering delay, no PM skill transfer. A law firm runs a one-day training: expensive, generic, no artefacts. Reading the ICO guidance directly: authoritative but requires significant interpretation work for product-specific application. This course: built for the PM role, produces usable templates at each module, costs 199 USD.

FAQ

Does this cover US state privacy laws or only GDPR?

Both. Modules 1, 5, 6, and 7 explicitly cover CCPA, Virginia CDPA, Colorado CPA, and Connecticut CTDPA alongside GDPR. The course is structured around the overlapping obligations so PMs working across US and EU user bases can apply a single workflow.

Do I need a legal background to follow the DPIA modules?

No. The DPIA modules are written for PMs, not lawyers. Each section is translated into product-language: acceptance criteria, PRD sections, data flow nodes. The course explicitly avoids legal theory and focuses on the artefacts a PM needs to produce.

Is the implementation playbook generic or specific to my product area?

The playbook is hand-built for the platform PM role based on the course purchase. It maps the module frameworks to the product lifecycle patterns common to consumer internet and advertising technology platforms.

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.