How to Move Up the Privacy Maturity Curve 

Most triathletes are really strong in one or two disciplines. They may be an excellent runner and a solid swimmer, but ask them to clip into their pedals for 25 miles and suddenly race day feels a lot longer. Or they live and breathe cycling and can swim just fine, but dread lacing up their running shoes. 

However, to call yourself a triathlete, you have to be ready to tackle all three legs of the race. That means knowing where you’re strong, and working on the skills that aren’t.

Privacy programs develop the same way. How far along any given privacy activity is depends on the organization, the types of data it handles, its legal requirements, and the resources available. Privacy maturity helps organizations better understand where they stand and where they need to focus next.

The four stages and pillars of privacy maturity

To be clear, privacy maturity isn’t a score, a certification, or a particular designation. It’s simply a way of understanding how consistently, repeatably, and sustainably privacy is practiced across an organization.

We can break down the stages of maturity into four segments:

• Emerging: Privacy work exists, but ownership is informal, documentation is inconsistent, and processes are hard to repeat.
• Developing: A named privacy lead exists, policies are documented, and inventories are started,  but execution varies by team.
• Established: Formal governance, maintained data inventories, and privacy embedded into workflows like product development and procurement.
• Optimized: Privacy functions as a strategic capability, metrics focus on outcomes, automation reduces manual effort, and privacy supports business goals alongside compliance ones.

These stages can be applied across four distinct privacy pillars. These pillars include:

• Governance and accountability: Who owns privacy, how decisions get made, and whether accountability is formal or informal.
• Knowing your data: Whether data inventories exist, how current they are, and how well the organization understands what it collects and why.
• Embedding privacy into operations: How consistently is privacy built into workflows like product development, procurement, and vendor management.
• People, metrics, and enablement: Whether training is role-based and recurring, and whether leadership receives meaningful privacy reporting.

Few organizations sit at the same stage across all four pillars. A company could be established in vendor management, but emerging in how it handles a data inventory, or optimized in its governance processes, but developing in team training. The stages of pillars aren’t necessarily dependent on one another, although they do influence one another. (E.g., bringing your governance and accountability from Developing to Established could indirectly support improving the maturity of your organization’s knowledge of data.)

Moving up the privacy maturity ladder

Climbing the privacy maturity ladder isn’t about transforming an entire program at once. In practice, that almost never happens. Most organizations grow unevenly. One part of the privacy program matures quickly because of an emerging state regulation, an enforcement action, or B2B sales or changing consumer expectations puts pressure on privacy to improve its maturity. Other areas lag behind because they don’t have sufficient executive support behind privacy or because their customer base isn’t making noise about the company’s data practices.

That’s normal and expected.

A company might have a mature vendor privacy review process because third‑party risk is well understood, while still relying on manual, outdated data inventories. Another company might have strong governance and documented policies, but struggles to consistently embed privacy into product development or marketing workflows.

Privacy maturity should be assessed by pillar, not averaged into a single label. The target can vary significantly depending on the organization in question; factors like risk profiles, the sensitivity of the personal information it handles, legal obligations, customer expectations, and available resources all influence what an organization needs to achieve. 

Key questions to consider:

• What types of personal data does the organization collect, and how sensitive is it?
• What legal obligations apply, and how actively are they being enforced?
• What are customers and business partners expecting from the privacy program?
• What resources (budget, headcount, technology) are realistically available?

The goal of a maturity assessment isn’t necessarily to hit the highest level across every pillar. It’s to understand where people, processes, and technology are working, where they aren’t, and where investment will have the most impact.

Why maturity varies across a privacy program

A privacy program isn’t one single thing. It’s people and processes and technology. These are overlapping dimensions of privacy, and they often develop at their own pace, as they can be driven by different priorities and different resources.

People

The people side of a privacy program covers who owns it, how well they collaborate across the business, how consistently teams are trained, and how seriously leadership prioritizes it. 

Each of those things requires a different kind of organizational commitment to advance, which is why they rarely move together. For example, a named privacy lead might be in place long before role-based training becomes consistent, or before leadership moves privacy reporting onto the board agenda.

Assessing people maturity by looking at:

• Team structure: formal privacy roles in place with defined responsibilities, or scattered across functions with no clear ownership
• Cross-functional collaboration: privacy champions embedded in product, legal, HR, and marketing, or occasional and informal engagement with other teams
• Training: role-based and recurring, or general and annual
• Leadership engagement: C-level support with defined KPIs and board reporting, or privacy viewed primarily as a legal obligation

Process 

The process side looks at the ways privacy obligations are operationalized day to day, including how privacy rights requests are handled, how privacy impact assessments (PIAs) are conducted, how records of processing are maintained, and whether incident response has been defined and tested. 

Each area may well have its own scope and its own stakeholders; e.g., privacy rights handling sits with the privacy team, PIAs involve product and legal, and incident response overlaps with privacy, security, and legal together. Depending on the structure and maturity of privacy operations, there might not be a single owner or trigger that moves all of them forward simultaneously.

Assessing process maturity by looking at:

• Privacy rights handling: defined intake and tracking process with response times that meet statutory deadlines, or ad hoc and manual
• Privacy impact assessments: conducted before new products or systems launch, or after the fact
• Records of processing: updated on a defined schedule, or rebuilt when an audit requires it
• Privacy notice management: reviewed and updated regularly to reflect changes in data processing or legal obligations, or static and updated sporadically
• Incident response: tested and rehearsed with cross-functional teams, or documented but untested

Technology

The technology side covers the tools that support data discovery, consent and preference management, privacy rights automation, and reporting. 

Technology investment often follows process maturity rather than leading it. Organizations that deploy tools before the underlying processes are defined often find those tools underused or misapplied, and that sequencing is one of the main reasons technology is frequently the last dimension to mature.

Assessing technology maturity by looking at:

• Data discovery: automated and integrated with IT and data governance systems, or reliant on spreadsheets and team knowledge
• Privacy rights automation: end-to-end tooling with verification, workflow, and reporting, or handled via email and manual ticketing
• Consent and preference management: unified across web, marketing channels, and all applicable jurisdictions, or limited to the website cookie notice
• Privacy platform integration: integrated tech stack with APIs, dashboards, and automation, or point solutions for individual functions with no connectivity
• Reporting and metrics: regular board-level reporting on privacy KPIs and trends, or metrics tracked occasionally with no consistent cadence

How organizations move upward, practically

In some cases, moving up the privacy maturity ladder may require more policies, more tools, or more investment. In others, the bigger need is consistency and integration, meaning doing what already exists more reliably. Again, it depends on where the organization is and what factors are driving their privacy practices. 

From emerging to developing

Progress at this stage comes from establishing foundations:

• Clearly assigning ownership and accountability
• Documenting baseline policies and procedures
• Turning one‑off activities into repeatable processes

For example, moving from handling privacy rights requests through ad hoc emails to using a defined intake and tracking process is a meaningful step upward, even if everything is still manual.

From developing to established

The biggest shift here is standardization. Processes already exist, but they work inconsistently. Moving upward requires embedding privacy into workflows so that it happens by default, not by exception.

Examples include:

• Making privacy impact assessments part of product or system development approvals
• Requiring privacy reviews as a standard step in vendor onboarding, not as a separate exercise that happens ad hoc because someone remembers it
• Maintaining data inventories on a defined schedule (e.g.,  reviewed and updated at least annually, or whenever a new system, vendor, or data type is introduced) rather than rebuilding from scratch each time one is needed

This stage reduces reliance on individual effort and increases program resilience.

From established to optimized

At higher maturity levels, progress is less about adding new activities and more about using insight.

Organizations move upward by:

• Shifting metrics from activity counts to outcomes like risk reduction or efficiency
• Using automation to improve consistency and scale, not to paper over weak processes
• Evaluating how privacy supports business goals such as trust, speed, and innovation

This is where privacy becomes a strategic capability rather than purely a compliance function.

Choosing the next rung to climb

Because maturity varies across a program, organizations don’t need to move every pillar forward at the same time. In fact, trying to do so often leads to frustration and stalled progress.

A more effective approach is to ask:

• Which pillar presents the greatest risk today?
• Where are teams spending the most manual effort?
• Which gaps are creating friction with customers, regulators, or the business?

By answering those questions, organizations can choose where to climb next, rather than attempting to scale the entire ladder at once.

Progress, not perfection

The privacy maturity ladder isn’t about labeling a program as “good” or “bad.” It’s a way to understand how privacy capabilities evolve over time and how to move forward intentionally.

Most organizations are already mature in at least one area of privacy. The opportunity lies in recognizing that progress, building on it, and applying the same discipline to the parts of the program that haven’t yet caught up.

If you’re not sure where your program stands, schedule a consultation to get started. In the meantime, check out our resources like: 

• Privacy Program Assessment 
• Privacy Program Maturity Self-Assessment
• Privacy Program Management Guide

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