23/07/2026

Recruiting a Head of Data & AI Compliance within the Data & AI Office itself

Recruiting a Head of Data & AI Compliance: A Strategic Lever for AI-by-Design Compliance

Introduction: Why will this role become critical for companies undergoing transformation, from large corporations to scale-ups?

The Data & AI teams of our clients—whether structured as a centralized Data & AI Office or a Center of Excellence overseeing decentralized data offices—often (if not always) need to recruit a Head of Data & AI Compliance. This role embodies Data & AI Compliance on the business side, integrated directly into product squads rather than solely within a central legal department.

In most cases, there is already a Data Protection Officer (DPO) within the group’s legal department, as well as an ethics division. However, business teams often perceive these functions as operating in a defensive manner—something Data & AI Offices frequently lament. Their focus tends to be on ensuring legal and ethical compliance in data usage and AI design (whether analytical or generative). This perception, while somewhat unfair, stems from a real operational challenge.

The current “tunnel” approach creates excessive and often unproductive back-and-forth between the DPO and the product/technical teams within the Data & AI Office, who collaborate closely with business units to design and build data and AI products. This inefficiency likely arises from the Data & AI Office’s lack of preparation in addressing legal constraints (including data security) and the ethical standards demanded by both corporate policies and legislation.

This, of course, slows down the go-to-market process for Data & AI products—and comes at a significant cost.

The core pain point for Data & AI Offices without an embedded Data & AI Compliance function in their product squads is that compliance validation occurs at the very end of the process. It then gets added to the already heavy backlog of the legal department and the DPO, often resulting in a No-Go decision that forces teams to revisit and rework much of the development from scratch.

Yet, the ideal division of responsibilities should be as follows:

The DPO and the Ethics Department set the frameworks, monitor regulations and their evolution, thoughtfully interpret them, assess acceptable risks for the company, and disseminate this knowledge to business teams—particularly to those responsible for Data & AI Compliance within the Data & AI Office.
The Head of Data & AI Compliance, on the other hand, operates on the ground. They understand the corporate frameworks and guide products toward compliance and ethical alignment at every stage of agile development. As a result, products reach production at scale already compliant, avoiding last-minute setbacks.

This role, in fact, evolves from the “Product Counsel” position that emerged in American Big Tech and is now beginning to appear in Europe.

Recruiting a Head of Data & AI Compliance within the Data & AI Office (rather than the legal department) helps product and technical teams design compliant-by-design Data and AI products. It ensures they continue to meet business needs while accelerating development and large-scale deployment. Embedded in agile squads or feature teams, this role would assist in preparing work to smoothly pass compliance filters, creating repeatable, rigorous processes and the necessary governance frameworks.

Though desired by many of our clients, this role is still rarely implemented. It serves as the operational counterpart to the DPO, the legal department, and the compliance division on matters of conformity and ethics—not in opposition, but in complement. The DPO can thus fully focus on its regulatory role, while this new position supports the operational side: the products themselves.

At Uman Partners, we specialize in AI and Data transition recruitment and management, as well as executive search for top-tier Data & AI leadership profiles. We observe a growing potential demand for recruiting a Head of Data & AI Compliance, particularly in sectors where AI is a key differentiator (banking, healthcare, retail, Industry 4.0). But how should this role be defined, positioned, and—most importantly—successfully recruited?

The mission of the Head of Data & AI Compliance within the Data & AI Office is to help product and technical teams design Data and AI use cases that are compliant by design.

1. The Head of Data & AI Compliance: A Bridge Between Compliance, Innovation, and ROI

1.1. A Role Born from a Key Observation: The True Role of the DPO

Data & AI Offices in large corporations and scale-ups often struggle to align product agility with regulatory compliance. According to a McKinsey study, 62% of AI products experience delays due to compliance or ethical roadblocks, directly impacting the ROI of AI. While the DPO is highly skilled, they are rarely involved early in projects, leading to costly back-and-forth between legal and technical teams.

1.2. Key Mission Summary: Beyond Compliance, a Strategic Vision

The Head of Data & AI Compliance does more than validate processes. They co-design Data and AI products alongside the Head of Data & AI Product, technical teams, and business units, integrating the following from the very first design phase:

Algorithm explicability (to avoid bias and build trust).
Data flow security (encryption, hybrid cloud architectures).
Ethics by default (alignment with corporate values and societal expectations).

Key Figures:

78% of executives believe generative AI will require a governance overhaul by 2026 (Source:Gartner, 2025).
Companies with strong cross-functional collaboration between Data, Legal, and Business teams see a 35% increase in AI adoption rates (Source: Harvard Business Review).

This role is therefore a growth accelerator, not just a distant safeguard.

2. The 5 Pillars of the Role: From Regulatory Monitoring to Continuous Auditing

In detail, the core responsibilities typically include:

2.1 – Embedding Compliance in Products

Integrate a “by design” compliance and ethics approach into the development of Data & AI products, reducing the risk of delays or blockages and structurally accelerating large-scale production and adoption.
Work closely with product (Data & AI) and technical teams (as well as the DPO and Legal Department, who have analyzed laws, regulations, and corporate ethical choices to establish clear frameworks) from the design phase to embed compliance and ethical requirements.

2.2 – Technological, Regulatory, and Normative Monitoring; Innovation and Continuous Improvement

Participate in working groups and forums on data and AI compliance (as well as meetings with the DPO and Ethics Department) to understand laws and regulations, making compliance requirements actionable for product teams.
Maintain continuous monitoring of technological advancements and evolving regulations related to data protection (GDPR, security, etc.) and the ethical, compliant use of AI (with support from the DPO). Bridge the gap between these constraints and technological solutions that address them (e.g., data flow security, encryption, hybrid cloud solutions with hyperscalers, data indexing/enrichment for ethical/unbiased/non-discriminatory learning, R&D on algorithm explicability, etc.).
Provide these technological solutions and innovations to technical teams while informing and training them on regulatory changes and their implications for current and future products.

2.3 – Risk Assessment

Conduct Data Protection Impact Assessments (DPIA) for new products.
Identify and evaluate risks associated with data and AI usage, and propose risk mitigation measures.

2.4 – Training and Awareness

Organize training sessions for Data & AI Office teams on best practices in compliance, data protection, and the adoption of the aforementioned technologies.
Raise awareness among stakeholders about the ethical and legal challenges of AI usage.

→ A visionary leadership challenge: 89% of employees expect AI training (Source: Forbes, 2025).

2.5 – Collaboration with the DPO

Act as a bridge between legal, technical, and business teams to facilitate communication and mutual understanding.
Participate in agile ceremonies to provide compliance and ethics expertise and help resolve potential issues.

2.6 – Auditing and Monitoring

Implement governance mechanisms to ensure products comply with requirements throughout their lifecycle.
Conduct internal audits to assess the effectiveness of compliance measures and identify areas for improvement.

Some might argue that the DPO should fulfill this role proactively and offensively. However, the reality is that this is not their role in the configuration we describe. As mentioned earlier, the DPO sets the framework—and that alone is a full-time job!

Thus, it is necessary to recruit a Head of Data & AI Compliance.

Conclusion: A Role to Turn Compliance into a Competitive Advantage

Hiring a Head of Data & AI Compliance is not a cost but a growth lever. By integrating this role into your organization, you:
✅ Accelerate your time-to-market.
✅ Secure your AI investments.
✅ Strengthen your Data & AI leadership in your market.