- Location
- CDR (Amsterdam - Cedar), Netherlands · Manila (One Ayala Tower 2) · Manila (World Plaza) · Bucharest - Dacia One · Bucharest - H O Tipografilor · Manila (Arthaland Century Pacific Tower)
- Type
- Full-time
- Seniority
- Lead
- Source
- Workday
Description
Your role
Transaction Services (TS) is one of ING Wholesale Banking’s core growth businesses, serving corporate and institutional clients across Payments, Trade, Accounts & Cash Management, Reporting & Cards, and Pricing & Billing.
As TS continues to grow and invest in data, AI and digital capabilities, trusted data is becoming a strategic asset. The quality, ownership and usability of our data directly influence client experience, risk management, operational efficiency, regulatory confidence and our ability to deploy AI at scale.
The Data Governance & AI Readiness Lead is responsible for strengthening the foundations that make this possible. The mandate of this role is to establish trusted data as a strategic asset across TS, enabling better client outcomes, stronger risk management, regulatory confidence and responsible AI adoption at scale.
What you will do
You will work across Payments, Trade, Accounts & Cash Management, Reporting & Cards and Pricing & Billing to:
Establish and continuously improve TS capabilities for data ownership, data quality, metadata, lineage, data controls and stewardship, in line with regulatory and group standards, and in service of our customers
Embed governance into how TS operates and delivers, ensuring that governance becomes a business capability that safeguards value to customers rather than a compliance exercise
Lead the implementation and maturation of BCBS239 and related data governance capabilities across TS
Challenge established practices, strengthen them, while simplifying them, and remove unnecessary complexity that slows decision making or delivery, and compromises outcomes for our customers
Focus governance efforts on regulatory, operationally critical and commercially critical data elements.
Establish a product-centric approach to data, ensuring critical data assets have clear ownership, quality standards, and lifecycle management
Ensure data used in analytics, automation and AI use cases meets agreed standards for quality, traceability, ownership and regulatory compliance
Working with stakeholders across the business, identify and address the root causes of data quality, ownership, lineage and control challenges
Be the primary TS authority on data governance and is responsible for driving resolution of governance issues through established governance forums and escalation channels.
You will work closely with TS leadership, Data Owners, Executive Data Stewards, Delegated Data Owners and Business Data Stewards to ensure governance is embedded into day-to-day delivery and decision making.
You will help build an organisation where:
Critical data has clear ownership, accountability and decision rights.
Data quality issues are identified and resolved before they impact clients, operations or regulatory obligations.
Data products are trusted, discoverable, reusable and fit for business and AI consumption.
Regulatory compliance is embedded into delivery rather than addressed through retrospective remediation.
Data lineage, metadata and controls provide transparency across critical processes and data flows.
Teams spend less time reconciling data and more time using it to create value.
Risk, business and technology teams operate from a shared understanding of trusted information.
AI solutions are built on governed, traceable and reliable data foundations.
What are we looking for
The ideal candidate combines deep data governance and data management expertise with a builder's mindset. They think in systems and are able to connect business outcomes, operating processes, technology platforms and regulatory requirements into practical solutions.
They are comfortable moving from strategy into execution, identifying root causes, simplifying complexity and implementing practical solutions that improve data trust, control effectiveness and business outcomes.
They are equally comfortable challenging senior stakeholders, influencing without authority and driving adoption across large, distributed organisations.
They are relentless in improving data quality, strengthening accountability and creating the foundations that enable TS to scale safely, efficiently and with confidence.
Success criteria:
Critical data elements with identified owner and quality monitoring
Critical data lineage mapped
Data issues resolved within agreed SLA
Trust, quality and usability of TS data
Reduction in data-related regulatory and control risk
Reuse and adoption of trusted data products
Reduction in data remediation effort and manual controls
Adoption of trusted data assets in analytics, automation and AI-enabled business capabilities
Regulatory and audit outcomes
Speed and effectiveness of data-driven decision making
Most importantly, trusted data becomes the foundation on which TS scales its client propositions, operational efficiency, regulatory commitments and AI ambitions.
Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.
The benefits of working with us at ING include:
A competitive salary aligned with your skills and experience
25-28 vacation days depending on your contract
Pension scheme
13th month salary and 8% holiday allowance
Individual Savings Contribution (BIS), 3.5% of your gross annual salary
Flexible working hours and hybrid working options
A mobility card: choose your mode of transport for commuting each day, with free public transport on weekends.
Personal growth and challenging work with endless possibilities
An informal working environment with a diverse group of innovative colleagues
About us
Curious about how ING empowers people and businesses to move forward?
Discover what we do and what we can offer you.
Questions
Please visit our Frequently Asked Questions section to find some answers on questions you might have.