Director of Data & AI

Siena Partnership

Amsterdam

On-site

EUR 150,000 - 210,000

Full time

18 hours ago
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Job summary

Siena Partnership is seeking a Director of Data & AI to build and lead a new function in a cash-rich Private Equity backed company in the Netherlands. The role owns the data strategy and drives measurable business value across commercial, operations and risk domains.

You will architect the data platform, govern data assets and foster responsible AI, partnering with executives to accelerate adoption and scale data-driven decision making across the organisation.

Qualifications

  • Led a broad, enterprise level Data & AI function.
  • Built or significantly transformed a Data & AI strategy and operating model.
  • Strong knowledge of modern data platforms, engineering, analytics and AI.
  • Taken AI initiatives from concept through to adoption and measurable value.
  • Experience linking Data & AI investment to growth, margin, productivity or customer outcomes.
  • Strong executive stakeholder management and leadership skills.
  • Experience within a complex, international, data intensive environment.

Responsibilities

  • Define and deliver the Group Data & AI strategy and roadmap.
  • Build and lead the Data & AI function.
  • Develop the underlying data platform, engineering and analytics capability.
  • Identify and deliver high value AI use cases across commercial, operational and risk areas.
  • Develop data-led products and services that strengthen the customer proposition.
  • Establish appropriate data governance, ownership and responsible AI standards.
  • Prioritise investment based on measurable commercial impact.
  • Partner with senior leadership to drive adoption across the business.

Skills

Data strategy
Operating model
Data platforms
Analytics and AI
AI initiatives
Executive stakeholder mgmt
International environment

Job description

Director of Data & AI - Private Equity Backed - Netherlands

We are supporting a confidential search for a Director of Data & AI to join a successful Private Equity backed business at an important stage of its growth.

This is a hugely exciting opportunity to join a cash rich business and set up a Data & AI function from scratch. The business operates in complex, data rich markets and is looking to significantly increase how it uses Data & AI across commercial decision making, operations, and its customer proposition.

The focus is on building a Data & AI capability that delivers measurable business value.

The Role:

The Director of Data & AI will own the Group Data & AI strategy and lead its execution across the organisation.

Key responsibilities include:
  • Define and deliver the Group Data & AI strategy and roadmap.
  • Build and lead the Data & AI function.
  • Develop the underlying data platform, engineering and analytics capability.
  • Identify and deliver high value AI use cases across commercial, operational and risk areas.
  • Develop data-led products and services that strengthen the customer proposition.
  • Establish appropriate data governance, ownership and responsible AI standards.
  • Prioritise investment based on measurable commercial impact.
  • Partner with senior leadership to drive adoption across the business.

The role has a broad enterprise mandate spanning data platforms, analytics, AI, governance and commercial applications.

The Person:

We are looking for an established Data & AI leader who combines technical understanding with strong commercial judgement.

You will ideally have:
  • Led a broad, enterprise level Data & AI function.
  • Built or significantly transformed a Data & AI strategy and operating model.
  • Strong knowledge of modern data platforms, engineering, analytics and AI.
  • Taken AI initiatives from concept through to adoption and measurable value.
  • Experience linking Data & AI investment to growth, margin, productivity or customer outcomes.
  • Strong executive stakeholder management and leadership skills.
  • Experience within a complex, international, data intensive environment.

Experience in highly regulated environments would be preferred.

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