Senior Data & AI Officer - Anti-Money Laundering Authority (AD7, Frankfurt)

About this position

The summary below is published by Anti-Money Laundering Authority on the official vacancy notice. Our own analysis — salary realism, comparable openings, career trajectory, language profile — follows further down the page.

Key responsibilities

According to the vacancy notice, the role centres on the following duties:

• Contribute to development and implementation of AMLA's Data & AI strategies and roadmap
• Create and maintain data management policies and processes
• Manage data- and AI-related risks
• Ensure data accuracy, quality and compliance
• Oversee identification, collection, consolidation and cleansing of data from various sources
• Develop working relationships with business, data and technical stakeholders
• Champion data and AI literacy and governance adoption
• Capture business requirements for data and AI solutions

Are you eligible?

Check these requirements from the notice before investing time in an application:

• Education: University degree (minimum 4 years' studies) in Data Science, Statistics, Artificial Intelligence, Mathematics, Digital Technologies, Computer Science, Information Systems, Software Engineering, Engineering, Finance and/or Econometrics studies, or other relevant disciplines; OR university degree (minimum 3 years' studies) in one of these fields
• Experience: At least 6 years of relevant professional experience after obtaining the required qualification in data and/or AI governance, data management, data science, data analytics, data engineering, statistics, prompt engineering, or a related area; OR at least 7 years of relevant professional experience with a minimum 3-year university degree
• Languages: EU official language (C1), EU official language (B2)
• Key skills: Advanced knowledge of Data or AI governance principles, frameworks and best practices, Advanced understanding of data management concepts and data quality principles, Familiarity with metadata management and data dictionaries, Familiarity with data-related technologies and tools such as ETL, data warehouses, or data lakes, Proficiency in data analysis techniques using data visualisation, reporting tools or AI, Ability to apply strong analytical and problem-solving skills, Ability to translate business needs into practical technical solutions, Stakeholder management and influencing skills, Strong communication and drafting abilities, Project management and organisational skills
• Eligibility: Be a national of a Member State of the European Union. Enjoy full rights as a citizen and meet the character requirements for the duties involved. Have fulfilled any obligations imposed by national laws concerning military service. Be physically fit to perform the duties linked to the post. An official certificate confirming the absence of any criminal record must be submitted prior to recruitmen…

Selection process

The notice describes the following selection steps:

• Application screening phase to assess essential and desirable criteria
• Written test phase to evaluate technical and interpersonal competencies
• Interview phase to evaluate technical and interpersonal competencies

Contract and working arrangements

Hiring unit: AMLA (Anti-Money Laundering and Countering the Financing of Terrorism Authority).

Position overview

This is the official EU Careers listing for Senior Data & AI Officer at Anti Money Laundering Authority (AMLA) based in Frankfurt at the AD7 grade level (Temporary Agent).

WHO WE ARE

Money laundering and the financing of terrorism are major concerns for the EU. They pose significant risks to the EU economy, to the integrity of the EU financial system and, even more importantly, to the security of its citizens.

The Anti-Money Laundering and Countering the Financing of Terrorism Authority (AMLA) was established in June 2024 as a new European Union body to safeguard the European Union’s financial system and its citizens against money laundering and terrorist financing. It is located in Frankfurt am Main, Germany and will expand to over 400 staff members by the end of 2027. AMLA’s key responsibilities include:

- Directly supervising selectedfinancial sector entities that operate on a cross border basis and present a high risk of money laundering and terrorism financing, as well as indirectly supervising other entities in the financial and non-financial sectors - Supportingand coordinating the activities of Financial Intelligence Units (FIUs) by, for example, facilitating the joint analyses of cross-border cases, enabling information exchange, providing capabilities, advanced data analytics and managing the FIU.net information system - Complementing EU Anti-Money Laundering (AML)/Countering the Financing of Terrorism (CFT) rules by developing regulatory and implementing technical standards and issuing guidelines

For more information about the Authority, please visit ourwebsite. We are an equal opportunities employer, committed to diversity and non-discrimination.

Are you interested to contribute to our mission? Then see below what it takes to accomplish the role.

YOUR ROLE

AMLA is organising a selection procedure for the function of Senior Data & AI Officer (AD7). As a newly established EU Authority, AMLA offers a unique opportunity to take a leading role in the development and adoption of Data and Artificial Intelligence capabilities that support supervision, financial intelligence cooperation and regulatory activities across the European AML/CFT framework.

Working at the intersection of business, data and state-of-the-art technology, you will contribute to building trusted, secure and innovative data and AI solutions that enhance operational effectiveness and strengthen the fight against money laundering and the financing of terrorism.

The successful candidate(s) will report to a Head of Unit.

Key Responsibilities

The Senior Data & AI Officer will primarily perform several of the following tasks:

Data and AI Governance, Management and Stewardship

- Contribute to the development and implementation of AMLA's Data & AI strategies and roadmap, including the establishment of a strong governance framework. - Create and maintain data management policies and processes (including data quality, privacy, security, life cycle and AI), ensuring comprehensive oversight and mechanisms for continuous monitoring and improvement. - Contribute to the management of data- and AI-related risks (such as those pertaining to security, access and privacy) and collaborate with the relevant functions to uphold data integrity and security. - Ensure data accuracy, quality and compliance to prevent potential risks associated with inaccurate or mishandled data. - Oversee the identification, collection, consolidation and cleansing of data from various sources and manage master data and taxonomies. - Develop excellent working relationships with business, data and technical stakeholders to contribute to data, analytics and AI activities for consistency and leverage. - Champion data and AI literacy and governance adoption by promoting best practices and tools. - Capture business requirements for state-of-the-art data and AI solutions.

Data Analytics, AI and Analytical Intelligence

- Contribute to the establishment, optimisation and day-to-day maintenance of data and AI systems for collecting, storing, analysing and accessing large volumes of data in close collaboration with IT and compliance functions like Security and Data Protection. - Gather, clean and monitor data from multiple sources, applying statistical methods to identify patterns, trends and anomalies while ensuring data integrity and quality. - Develop dashboards, reports and visualisations to cater for evolving data needs, and define KPIs to communicate insights. - Translate business needs into analytics requirements, mining data warehouses to surface trends and insights that inform executive and business unit decisions. - Conduct large-scale experimentation and rigorous statistical analysis to uncover hidden relationships in complex datasets. - Research and apply cutting-edge machine learning/AI techniques and tools to strengthen analytical rigour and efficiency across AMLA. - Drive data science initiatives by utilising AI and ML technologies to predict trends and metrics, evaluate risks and continuously improve processes.

The successful candidate may be required to perform other duties under the responsibility of their line manager, in line with the evolution of AMLA's mandate, structure and activities.

QUALIFICATIONS AND OTHER REQUIREMENTS

Eligibility criteria

To be admitted to the selection process you mustmeet the following eligibility criteriaon the closing date for application and on the date of filling the vacant post:

- Be a national of a Member State of the European Union. - Completed university studies of at least 3 years attested by a diploma. - Thorough knowledge (C1 level as per the CEFR [1]) of one of the 24 EU official languages and a satisfactory knowledge (B2 level) of another EU official language for the performance of your duties [2]. - Enjoy full rights as a citizen and meet the character requirements for the duties involved [3]. - Have fulfilled any obligations imposed by national laws concerning military service. - Be physically fit to perform the duties linked to the post [4].

This vacancy is also open for internal mobility at AMLA and inter-agency mobility at the grade bracket AD 7 - AD 12.

Education and Professional Experience:

- A university degree (minimum 4 years’ studies), followed by at least 6 years of relevant professional experience. OR - A university degree (minimum 3 years’ studies), followed by at least 7 years of relevant professional experience.

The professional experience referred to above will be considered relevant if it corresponds to one or more of the key responsibilities mentioned in the section "your role".

Education A level of education corresponding to completed university studies of at least 3 years attested by a diploma in one or more of the following fields:

- Data Science - Statistics - Artificial Intelligence - Mathematics - Digital Technologies - Computer Science - Information Systems - Software Engineering - Engineering - Finance and/or Econometrics studies - Or other relevant disciplines

[2]Mother tongue English speakers will be expected to demonstrate knowledge of a second EU language.

[3]An official certificate confirming the absence of any criminal record must be submitted prior to recruitment.

[4]If you are not currently working for an EU institution, you will be required to undergo a pre-employment medical examination at a center we specify.

Selection Criteria

To be considered for the assessment phase youmust meet the following essential criteria on the closing date for applications. Should you not meet the essential criteria, you will be excluded from the next assessment phase. The following criteria will be assessed during the application screening phase:

1. At least six years of relevant professional experience acquired after obtaining the required qualification in data and/ or AI governance, data management, data science, data analytics, data engineering, statistics, prompt engineering, or a related area;

2. Demonstrated hands-on experience with data handling, for example data analysis, visualisation or reporting tools.

Please clearly indicate, for each relevant professional experience, its duration, scope and main responsibilities, highlighting how it relates to the essential criteria listed above.

Desirable Criteria

The following criteria are considered as desirable and may be taken into account during the application screening phase [5]:

1. Proven professional experience in data and/or AI governance;

2. Proven experience in a data or AI role where direct and ongoing engagement with business or technology stakeholders was part of the remit;

3. Proven experience in the design and implementation of modern data architectures;

4. Proven project experience in AI/machine learning or with programming languages such as SQL, Python, and R for big data manipulation and analysis.

Please clearly indicate, for each relevant professional experience, its duration, scope and main responsibilities, highlighting how it relates to the desirable criteria listed above.

[5] Different weights may be assigned to each desirable criterion.

Skills

The following skills will be evaluated during the written test and/or interview phases.

Technical Competencies

- Advanced knowledge of Data or AI governance principles, frameworks and best practices. - Advanced understanding of data management concepts and data quality principles. - Familiarity with metadata management and data dictionaries. - Familiarity with data-related technologies and tools such as ETL, data warehouses, or data lakes. - Proficiency in data analysis techniques using data visualisation, reporting tools or AI. - Ability to apply strong analytical and problem-solving skills to assess and manage data.

Interpersonal Competencies

- Analytical and problem-solving skills. - Ability to translate business needs into practical technical solutions. - Stakeholder management and influencing skills. - Strong communication and drafting abilities. - Project management and organisational skills. - Ability to work effectively in a multicultural and multidisciplinary environment.

Salary at this grade

Basic monthly salary at AD7 runs from €7,876 (step 1) to €8,911 (top step), giving an annual range of roughly €94,512 to €106,932 before tax and allowances. Steps increase automatically every two years; the figures here are taken from the salary grid in the EU Staff Regulations.

Eligible staff posted away from their country of nationality also receive an expatriation allowance worth 16% of basic salary (around €1,260 per month at step 1 of AD7) together with household, dependent-child, and education allowances where applicable. Take-home pay is then adjusted by the country correction coefficient for Frankfurt. For a worked example see our correction coefficients guide and the EU salaries overview.

Application timeline

This vacancy was first listed on 15 September 2026, today.

The application deadline is 29 September 2026, 13 days from today. Late applications are not accepted, so submit through the official EU Careers portal well in advance.

Last verified against the EU Careers feed on 15 September 2026.

Where to learn more

For full responsibilities, requirements, and career progression at AD7 see our AD7 grade page; for headcount, mission, and other open vacancies at Anti Money Laundering Authority (AMLA) see the Anti Money Laundering Authority (AMLA) institution page; for the cost of living, correction coefficient, and other postings in Frankfurt see our Frankfurt location page.

New to EU careers? Our beginner's guide walks through entry routes, EPSO competitions, and what to prepare. For application logistics see application tips and EPSO competitions.