RESPONSIBLE AI & AI GOVERNANCE MANAGER

SUMMARY OF THE JOB

As Holcim scales AI across its global footprint—from predictive industrial maintenance to GenAI-powered corporate functions—we require a unified approach to risk and ethics. You will be the Chairperson of the Global AI Governance Council, orchestrating a cross‑functional coalition to ensure AI deployed at Holcim are compliant, transparent, and value‑driven.

MAIN ACTIVITIES / RESPONSIBILITIES

1. Leadership of the Global AI Governance Council

Council Chair: Lead and facilitate the monthly AI Governance Council, bringing together senior leaders from HR, Compliance, Legal, Cybersecurity, and IT.
Enterprise Governance Framework: Define and enforce the global “Holcim AI Playbook,” ensuring all regions follow a unified standard for model transparency and accountability.
Application Oversight: Manage the intake and review process for all AI use cases globally. Categorize applications into High‑Risk (e.g., HR recruitment, safety‑critical plant automation) and Low‑Risk (e.g., internal knowledge bases, marketing copy).
AI Inventory Management: Maintain a centralized registry of all “High‑Risk” and “Limited‑Risk” AI systems across the group to ensure continuous auditability.
Approval Authority: Act as the final gatekeeper for the deployment of High‑Risk AI, ensuring they meet Holcim’s technical and ethical “Definition of Ready.”
Conflict Resolution: Mediate between technical teams pushing for rapid deployment and compliance/security teams focused on risk mitigation.

2. Risk & Assurance

Regulatory Liaison: Serve as the primary point of contact for external regulators regarding the EU AI Act, Swiss FDPD, and other global frameworks.
Audit Readiness: Lead the preparation for internal and external AI audits working with AI application owners. Ensure model documentation, training‑data lineage, and bias‑testing results are “audit‑ready.”
Third‑Party Oversight: Lead the “AI Due Diligence” process for all external software vendors to ensure their embedded AI aligns with Holcim's standards.

3. Enterprise‑Wide Framework

Continuous Monitoring: Establish a “Post‑Market Surveillance” program to monitor AI models after deployment, ensuring they do not “drift” into non‑compliance.
Incident Management: Define the protocol for responding to AI failures, hallucinations in GenAI, or data‑privacy breaches involving automated systems.

Generative AI Guardrails: Assist in defining organizational standards for generative AI usage, data privacy, and algorithmic fairness.

Function‑specific guidelines:
- HR: Preventing bias in AI‑driven talent sourcing and performance analytics.
- Security: Ensuring AI tools do not create new attack vectors for proprietary industrial data.
- Operations: Maintaining human‑in‑the‑loop safety for autonomous logistics and cement manufacturing.

4. AI Literacy Program

Support Holcim University upskilling on AI ethics and effective “Human‑AI” collaboration, as needed.
Champion Network: Build and nurture a global network of AI Ethics Champions within each business unit to identify local risks and promote best practices at the “front line.”

5. External Strategy & Advocacy

Support the development of Holcim’s official stance on AI ethics, sustainability, and industrial data sharing to be featured in Annual Reports, Sustainability Disclosures and other external forums (WEF, industry‑specific AI coalitions, etc).
Public Policy: Work with the Public Affairs team to monitor and influence emerging AI legislation that impacts the construction and manufacturing sectors.

JOB DIMENSIONS

List of direct reports

Key interfaces, stakeholders and relationships

Internal:
- GDS: product manager, Technical product manager, regional Digital Center management, GDS senior leadership team
- Group functions: Marketing & Innovation, Finance, Sustainability, Compliance, Legal, Security, Investor Relationship, Public Affairs
- Country teams
- Enterprise Architects, Business Application Owners and Product Managers.
External: 3rd‑party vendors

PROFILE REQUIRED

Experience:
- 5+ years in AI Governance, Digital Ethics or Tech Policy
- Proven track record of leading large organizational change or literacy programs
Technical Expertise:
- Ability to explain complex ML concepts (e.g., LLM hallucinations, data drift) to non‑technical stakeholders
Diplomacy: Consultative mindset – ability to say “no” while proposing a “safer” path
Communication: Excellent stakeholder management, strategic storytelling, and technical documentation skills

Language skills

Excellent English (written & spoken) – other languages are a plus

Success Measures

Governance Maturity: 100 % of “High‑Risk” AI systems passed through the Council with documented mitigation plans.
Literacy Reach: % of global workforce completed “Responsible AI Foundations” training.
External Impact: Successful publication of Holcim’s “Responsible AI Charter” and participation in at least two major global AI summits.
Audit Integrity: Zero major findings in annual AI compliance and safety audits.
Council Velocity: Average time from “Use Case Proposal” to “Governance Approval.”
Coverage: 100 % of AI applications (internal and vendor‑provided) registered in the Global AI Inventory.

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