Governance Operations Lead / IT Data Engineer bij EVERIENCE

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Governance Operations Lead / IT Data Engineer

EVERIENCE

The Hague, South Holland, Netherlands

Op locatie

Senior

2 dagen geleden geplaatst

Vacaturesamenvatting

Join Everience as a Governance Operations Lead to operationalize AI governance in a dynamic enterprise environment. Leverage your expertise in AI lifecycle management and governance to drive automation and compliance while fostering AI adoption.

Vereiste vaardigheden

Automation

Systems thinking

Compliance

Lifecycle Management

Reporting

DevSecOps

Operational Excellence

Process Design

Governance

Digital Transformation

Assets

Tooling

Audit

process optimization

Teams

Artificial Intelligence (AI)

Driving

Dashboards

Data Engineering

Assurance

CAN

Development

controls

Technology Operations

Data & AI

Traceability

AI/ML Platforms

Data Platforms

Digital Services

Operating Models

Delivery

Business Agility

Enterprise Architecture

MLOps

Metrics

We are seeking an experienced Governance Operations Lead to help implement AI governance requirements across a large enterprise environment. In this role, you will play a crucial part in integrating AI governance into the entire AI lifecycle, ensuring that governance controls are seamlessly embedded into AI/ML platforms and delivery pipelines to enable scalable, automated, and auditable governance.

About the Company

Everience is an international consulting group specializing in AI-augmented digital services, with a presence in Europe, Africa, Asia, and America. Our mission is to place people at the heart of the AI revolution, providing a stimulating environment for our 4,000 employees to develop their skills and future employability through our Symbiotic Academy.

The Role

As the Governance Operations Lead, your responsibilities will include:

•

Implementing AI governance processes throughout the AI lifecycle, from data to retirement.

•

Embedding governance controls into AI/ML platforms, MLOps pipelines, and lifecycle management processes.

•

Managing AI governance operations, including registries, inventories, asset tiering, approvals, and attestations.

•

Driving automation to minimize manual governance activities and enhance compliance.

•

Ensuring traceability, transparency, and auditability of AI assets, models, and decisions.

•

Developing governance metrics, dashboards, and KPIs related to compliance, adoption, risk, and effectiveness.

•

Collaborating with Data & AI, Enterprise Architecture, IT Engineering, CISO, and other technology teams.

•

Supporting regulatory, audit, and assurance activities through effective evidence management and reporting.

•

Continuously improving governance processes, tooling, and operating models.

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