VP Data Knowledge Platforms

Wood Mackenzie; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading energy intelligence firm located in Spain is seeking a Vice President of Data and Knowledge Platforms. This strategic role involves building a robust data governance framework and overseeing the content management infrastructure. The ideal candidate should have 15 years of experience in data engineering and knowledge management. Strong expertise in integrating AI technologies into workflows is crucial. This position ensures the advancement of data-driven decision-making across the firm's operations.

Formación

• 15 years of experience in data engineering, knowledge management or digital content systems.
• Proven track record leading large-scale data or CMS platform transformations.
• Strong technical foundation in data and content architectures.

Responsabilidades

• Define and maintain the corporate ontology and energy knowledge graph.
• Establish governance lineage and quality frameworks across data assets.
• Oversee the architecture and evolution of the CMS.

Conocimientos

Data engineering

Knowledge management

Digital content systems

Data governance

Collaboration skills

Leadership

Educación

15 years of experience in relevant fields

Herramientas

Snowflake

Lakehouse

Headless CMS

Vector databases

Descripción del empleo

Wood Mackenzie Values

• Inclusive we succeed together
• Trusting we choose to trust each other
• Customer committed we put customers at the heart of our decisions
• Future Focused we accelerate change
• Curious we turn knowledge into action

Vice President Data and Knowledge Platforms

Reports to: Chief Product & Technology Officer

Role Overview

The Vice President of Data and Knowledge Platforms will be responsible for building and scaling the trusted governed ontology-driven foundation that underpins all of Wood Mackenzie's data and knowledge assets. This leader will drive the industrialization of data pipelines, establish robust governance and quality frameworks, and package datasets into consumable APIs and data products.

This role also owns the company's content management infrastructure ensuring the systems that support hundreds of researchers globally are reliable, integrated, and capable of powering next-generation analytical and GenAI applications. The VP will lead the modernization of this CMS ecosystem to enable intelligent authoring, metadata automation and seamless integration with the broader data and ontology platforms.

In addition the VP will leverage generative AI technologies, including post-training of large language models, to transform structured data and written content into analytical insights and narrative intelligence. These capabilities will power automated synthesis, summarization and domain-aware reasoning that enrich Wood Mackenzie's products knowledge base and client workflows.

This is a cornerstone leadership role in Wood Mackenzie's transformation into a digitally native AI-enhanced energy intelligence platform.

Key Responsibilities

Knowledge Architecture & Ontology

• Define and maintain Wood Mackenzie's corporate ontology and energy knowledge graph.
• Ensure all structured and unstructured datasets are mapped, linked and discoverable within a unified knowledge ecosystem.

Data Engineering & Integration

• Industrialize ingestion from diverse internal and external sources.
• Normalize, enrich and integrate data into consistent high-quality pipelines.
• Partner with Product Engineering and ML teams to ensure data usability across applications and AI models.

Governance & Quality

• Establish governance lineage and quality frameworks across all structured and unstructured data assets.
• Implement stewardship programs with clear dataset ownership SLAs and automated quality monitoring.

Content Management Systems (CMS)

• Oversee the architecture, reliability and evolution of Wood Mackenzie's CMS which powers research authoring and publishing globally.
• Ensure the CMS integrates with the ontology and metadata frameworks to improve content discoverability, version control and semantic tagging.
• Drive the transformation of the CMS into an AI-assisted authoring environment enabling metadata enrichment, automated insights and AI co-writing support.
• Partner with Research Product and Engineering leaders to improve analyst productivity and content‑to‑product workflows.

Generative AI & Content Intelligence

• Lead initiatives that apply LLMs and GenAI to enhance content creation, summarization and synthesis from structured and unstructured data.
• Oversee post‑training and fine‑tuning of domain‑specific models using proprietary content and datasets.
• Develop frameworks for retrieval‑augmented generation (RAG) automated insights and dynamic content generation.
• Govern the accuracy, provenance and compliance of AI‑generated content.

Cross‑Functional Collaboration

• Partner with SVPs of Architecture & Platforms, Product Engineering and Machine Learning to ensure cohesive strategies across data, content and AI platforms.
• Work closely with our Segments Research leadership to align CMS ontology and GenAI initiatives with analyst workflows and editorial standards.
• Champion data and AI literacy across teams to drive adoption and trust.

Qualifications & Experience

• 15 years of experience in data engineering, knowledge management or digital content systems.
• Proven track record leading large‑scale data or CMS platform transformations in knowledge‑intensive organizations.
• Expertise in data governance, ontologies, knowledge graphs and API‑based data distribution.
• Experience integrating LLMs and GenAI into data or content workflows.
• Strong technical foundation in data and content architectures (e.g. Snowflake, lakehouse, headless CMS, vector databases, RAG frameworks).
• Deep understanding of metadata standards, taxonomy management and semantic enrichment.
• Exceptional leadership and collaboration skills capable of driving alignment across research, product and engineering.

Key Competencies

• Visionary leadership across data, content and AI domains.
• Ability to bridge human and machine intelligence to scale research productivity.
• Strong understanding of both technical architecture and user experience in data and content systems.
• Strategic thinker who can balance innovation with operational excellence and compliance.
• Collaborative communicator and change agent in a global matrix environment.

Success Metrics

• % of datasets and content mapped to ontology and knowledge graph.
• CMS uptime, usability and integration KPIs.
• Improvements in data and content quality scores.
• Reduction in redundant data pipelines and manual content tasks.
• Deployment and impact of GenAI‑driven authoring and analysis tools.
• Analyst and client adoption of AI‑assisted knowledge workflows.

Equal Opportunities

We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at

If you are applying for a role and have a physical or mental disability we will support you with your application or through the hiring process.

Required Experience : Exec

Key Skills Business Development,Eclipse,Economics,Accounting,Corporate Risk Management,Brokerage

Employment Type : Full‑Time

Experience : years

Vacancy : 1