Key Skills

Job Description

Everience is an international consulting group delivering AI-augmented digital services and placing people at the heart of the AI revolution. With a presence in Europe, Africa, Asia and America, Everience offers its 4,000-strong workforce the most demanding and stimulating environment in which to transform and develop their skills, learning about new AI-based roles and building their future employability. Through its Symbiotic Academy the group offers a unique hub for training, practical application and exchange where everyone can experiment, learn, and progress in the fields of artificial intelligence and data. In accordance with its core purpose of orchestrating the symbiotic relationship between humans and AI in the workplace, Everience is making the augmented employee the driving force of a “symbiotic age”, where AI enhances talents and opens up new career opportunities. Job Description We are looking for an experienced Governance Operations Lead to help operationalise AI governance requirements across a large enterprise environment. About the Role: As Governance Operations Lead, you will play a key role in embedding AI governance into the end-to-end AI lifecycle. You will ensure governance controls are integrated into AI/ML platforms, lifecycle processes and delivery pipelines, enabling scalable, automated and auditable governance while supporting AI adoption and value creation. Key Responsibilities: Implement AI governance processes across the full AI lifecycle, including data, development, validation, deployment, monitoring and retirement. Embed governance controls into AI/ML platforms, MLOps pipelines and lifecycle management processes. Manage AI governance operations, including AI registries, model and agent inventories, asset tiering, approvals and attestations. Drive automation to reduce manual governance activities and improve compliance. Ensure traceability, transparency and auditability of AI assets, models and decisions. Develop governance metrics, dashboards and KPIs covering compliance, adoption, risk and effectiveness. Collaborate with Data & AI, Enterprise Architecture, IT Engineering, CISO and other technology teams. Support regulatory, audit and assurance activities through effective evidence management and reporting. Continuously improve governance processes, tooling and operating models. Qualifications 8–12+ years of experience in AI/ML, technology operations, governance, risk, digital transformation or a related field. Proven experience implementing enterprise governance processes and operating models. Experience working with AI/ML platforms, MLOps, DevSecOps or data platforms. Demonstrated ability to operationalise controls and drive adoption across complex organisations. Expertise: AI lifecycle management and MLOps AI governance, risk, controls and compliance Governance process design and automation Data and model management platforms Metrics, reporting and operational excellence Process optimisation and continuous improvement Additional Information We are looking for a systems thinker with a strong operational mindset who can balance governance requirements with business agility. You are comfortable working across organisational boundaries, simplifying complex processes and identifying opportunities for automation. You focus on practical outcomes, scalability and adoption rather than governance in isolation. All our positions are open to both women and men and are, of course, open to people with disabilities.

Core Responsibilities

You will be responsible for operationalizing AI governance requirements across the enterprise by embedding controls into AI/ML platforms and delivery pipelines. This includes managing AI registries, driving automation for compliance, and developing metrics to ensure the transparency and auditability of AI assets.

Requirements

The role requires 8–12+ years of experience in AI/ML, technology operations, or governance with a proven track record of implementing enterprise-level operating models. Candidates must possess expertise in MLOps, AI lifecycle management, and the ability to simplify complex processes within large organizations.