Data & AI Transformation Lead

IHC Merwede Holding B.V.
Kinderdijk, Netherlands
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
€5,700.0 - €8,565.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Encodings Data Governance Data Systems Metadata Power BI Enterprise Data Management Data Management

Job description

At Royal IHC, we believe the true value of data lies not in the number of dashboards we create, but in how data improves decisions, drives business performance, and enables innovation. We are looking for a Data & AI Transformation Lead to accelerate our journey towards becoming a truly data-driven organisation. In this strategic role, you will drive data adoption, shape the future of our data platform, strengthen governance, and help build the foundations for AI-enabled business transformation. Your Role As the functional owner of IHC’s data platform, you will work closely with business leaders, IT, data specialists, and external partners to maximise the impact of data across the organisation. Your focus will be on:

  • Driving adoption of data and analytics throughout the business.
  • Embedding data-informed decision-making into daily operations.
  • Developing and growing IHC’s data and analytics community.
  • Defining the vision and roadmap for the enterprise data platform.
  • Translating business needs into scalable data and AI capabilities.
  • Improving data quality, ownership, governance, and standardisation.
  • Preparing the organisation for future AI, automation, and advanced analytics initiatives.
  • Influencing stakeholders and creating alignment across business and technology teams.

Success in this role is measured by business impact, adoption, and organisational maturity rather than by the number of reports delivered.

Requirements

You are a strategic and pragmatic professional who combines business insight with strong data expertise. You bring:

  • Proven experience in data, analytics, digital transformation, or adoption initiatives.
  • Strong stakeholder management skills and experience working with senior leaders.
  • Experience with data platforms, roadmap development, or product ownership.
  • Knowledge of data governance, data quality, metadata, and data ownership.
  • The ability to translate business challenges into practical data solutions.
  • Affinity with AI and a clear understanding of how high-quality data enables AI success.
  • Strong communication, influencing, and change management skills.
  • Hands-on experience with Power BI and analytics environments.

Benefits & conditions

A salary between €5700 and €8565 gross per month, plus 8% holiday allowance. Plenty of time off: 40 vacation days for a full-time position, with the option to buy or sell additional leave. A profit-sharing scheme that lets you share in Royal IHC’s success. Flexible working: A home office allowance of €2.45 per day + a one-time payment of €750 to set up your workspace. Travel allowance of €0.21 per kilometer for the days you commute to the office. A solid pension plan through PME. Room to grow: Numerous internal career opportunities and a training budget + access to our IHC Academy to support your development. Health and energy: Unlimited access to our in-house gym (in exchange for the sustainable employability day). Royal IHC takes care of things you’d rather not worry about, but that are still important-such as disability insurance, partner pension, and the option to have additional healthcare costs reimbursed through our Social Fund. Why Join Royal IHC? This is not a traditional BI role. It is a unique opportunity to shape how an international engineering organisation leverages data and prepares for the future. You will influence culture, decision-making, governance, and technology strategy while helping build the foundation for the next generation of data and AI capabilities at Royal IHC. If you are passionate about data-driven transformation, business impact, and enabling AI at scale, we would love to hear from you.

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