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Data & AI Governance Engineer (Ref. : 2026-1429) - Senior Advisor

KPMG -
Zaventem

Soumettre votre candidature

Détails de l'emploi

CDI | Temps plein

Avantages

Voiture de société
Assurance hospitalisation
Travail à domicile
GSM de fonction
Événements d'entreprise

Qualifications

Français
Master
SQL
IT
Intelligence artificielle
Informatica
Python

Description complète du poste

Advisory - Senior Advisor

Roles & Responsibilities

About the role

As a Data & AI Governance Engineer within the Lighthouse team, this role contributes to complex data and AI transformation programs and supports commercial growth. The mission is to design Data & AI governance and management capabilities tailored to client needs, translate these into technical requirements and oversee as well as execute the technical implementation.

This role suits an experienced consultant who is strong at translating business needs into tangible value, combining strategic perspective with hands-on expertise to guide clients and teams toward the next generation of data & AI governance.

Advise on Data & AI governance tooling selection and implementation

Guide clients in key decisions around Data & AI governance technology selection and solution design (e.g. data catalog, lineage, data quality, metadata management, policy enforcement, AI/model governance).
Translate governance requirements into technical choices, define implementation patterns, and lead the delivery of fit-for-purpose solutions.

Provide architecture and governance oversight

Review and challenge solution designs across platforms and technologies to ensure alignment with quality, security, privacy, and governance expectations.
Support teams in making well-founded choices related to Data & AI governance, metadata standards, data quality, unstructured data, and master data management (MDM).

Automate and scale governance operations

Help evolve governance from manual processes to scalable, automated capabilities through integration and automation.
Configure metadata ingestion and data quality validation using APIs and workflow automation, and integrate governance tooling with data platforms and pipelines (e.g. Snowflake, Databricks).

Develop standards, methods, and playbooks

Capture best practices in pragmatic governance guidance such as templates, policies, control frameworks, operating models, and implementation playbooks.
Contribute to consistency, quality, and delivery speed across Lighthouse engagements and internal assets.

Enable decision‑making with senior stakeholders

Act as a trusted sounding board and escalation point for executives and program leadership.
Synthesize inputs, surface risks and dependencies, and recommend options to support timely, well-informed decision‑making.

Support engagement shaping and growth

Contribute to proposals and client discussions by clarifying problem statements, structuring approaches, and articulating value cases.
Translate client needs into well-scoped engagements and support account teams with subject-matter expertise.

Coachh teams and align across practices

Support the growth of Lighthouse by coaching multidisciplinary teams and performing quality reviews on key deliverables.
Facilitate collaboration across AI, Data, IT, and business stakeholders, sharing knowledge, lessons learned, and practical ways of working.

Location

Zaventem HQ

Skills & Qualifications

4 to 6 years of experience in Data & AI governance, including hands-on tooling implementation, preferably in a consulting environment.
Certifications (e.g. DAMA‑DMBoK, DCAM) are an asset.
Hands-on experience and certification with Collibra and/or other data governance platforms (e.g. Microsoft Purview, Informatica, DataHub).
Hands-on experience and certification with data quality tools (e.g. Collibra DQ, Soda, Great Expectations).
Intermediate coding skills in Python and SQL.
Practical experience with automation and integrations, such as metadata ingestion, quality checks via APIs, and pipelines for governance metrics.
Strong awareness of the impact of AI on Data & AI governance, data quality, and metadata management.
A proven track record of leading complex transformation initiatives, from strategy through successful delivery.
Experience contributing to growth activities, including proposals, client presentations, and opportunity identification.
An entrepreneurial mindset, with the ability to take ownership of strategic topics and scale them within the organization.
Strong stakeholder management skills, with the ability to translate complex data concepts into clear, actionable insights for executive audiences.
Fluency in English and French or Dutch.

We offer

As a certified Top Employer we offer:

An attractive remuneration package with a great number of extra-legal benefits (premium electric company car + charging card, net daily and monthly allowances, bonus, smartphone, and many other benefits tailored through our cafeteria plan).
Flexible work arrangements to ensure a healthy work-life balance (picking up kids from school, doctor’s appointment, working from home,…) and the possibility to work from anywhere 20 days per year.
Comprehensive insurance package including group insurance with full KPMG contributions, hospitalization insurance and optional outpatient options (dental & eye care, medical consultations and registered medication).
Career development opportunities combined with trainings based on your personal goals and aspirations.
An inclusive, international culture where personal growth, mutual trust and lifelong learning is fostered.
A buddy and performance manager to support and guide you throughout your career at KPMG.
Great team building activities and sport & wellbeing events (Brussels Marathon, Antwerp 10 Miles, 1000 kilometers for KOTK, river clean-ups, plant a tree and many more…) through our Together@KPMG & KPMG Foundation programs.

Contract type

Permanent

Full time/ Part time

Full-time

Position location

Job location

Europe, Belgium

Candidate criteria

Minimum level of experience required

3 to 5 years

Languages

Dutch (Very good knowledge)
French (Very good knowledge)

General information

Reference

2026-1429

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data engineer emplois - lasne, wal