Global Procurement Data Quality Lead
This role is responsible for helping the Global Procurement function make better, data-driven decisions and drive mission critical business outcomes through unlocking business value from data. This is typically through complex data analysis, developing insights, high-quality reusable data assets and deploying artificial intelligence capabilities.
We take a customer centric and consultative approach to develop business insights that that help HSBC’s senior leaders answer business critical questions such as:
- How do we create value in our supply chain and drive efficiency in our operations?
- How do we more effectively manage risk in our supply chain?
- How do we partner with our suppliers to drive towards net-zero?
The Data Quality Lead is key member of the Global Procurement Data & Analytics leadership team responsible for the Data Quality capability aligned to HSBC’s Data management & governance standards. The insights the team provide to help senior leaders make key decisions are only as good as the underlying data. It’s essential that this data foundation is robust & trusted to unlock value; this is especially true and non-negotiable when it comes to adopting AI.
This role is a focal point and champion for all things data quality and requires nurturing trusted and productive working relationships across procurement especially global process owners, operations & digital platforms. There is also close collaboration with the Data & Architecture Office (DAO), IT and both internal system owners and external data vendors.
We offer
- Competitive salary
- Annual performance-based bonus
- Additional bonuses for recognition awards
- Multisport card
- Private medical care
- Life insurance
- One-time reimbursement of home office set-up (up to 800 PLN).
- Corporate parties & events
- CSR initiatives
- Nursery discounts
- Financial support with trainings and education
- Social fund
- Flexible working hours
- Free parking
- 7+ years’ experience leading data quality initiatives with clearly demonstrable outcomes.
- Strong knowledge of data governance/management and tooling for documenting artefacts (e.g., data models, data dictionaries, Collibra).
- Solid understanding of the data and analytics delivery lifecycle, including data modelling, SQL fluency, and familiarity with data science concepts.
- Highly analytical, with a strong grasp of the value of data and the ability to apply technology solutions to meet business needs.
- Resourceful and inquisitive, able to build subject matter expertise quickly and tackle complex problems creatively.
- Proven ability to operate in a fast-paced environment, managing multiple deliverables while showing resilience, ownership, and accountability through to resolution.
- Strong project management capability, able to drive cross-functional delivery within time, cost, and quality constraints (including influencing without authority).
- Confident communicator and trusted advisor to senior stakeholders—able to negotiate, challenge constructively, and translate technical concepts for non-technical audiences in a global, regulated environment (data privacy awareness; GCP/QlikSense and architecture/process mapping knowledge preferred).