Santander
Santander
Santander este un grup bancar internațional care deservește clienți persoane fizice, comerciali și corporativi în Europa și în cele două Americi. Activitatea sa include servicii bancare de zi cu zi, finanțare pentru consumatori și clienți privați, servicii bancare corporative și de investiții, administrarea activelor și plăți pentru comercianți prin platforme precum Getnet. Organizația investește, de asemenea, în servicii bancare digitale și inițiative bazate pe inteligență artificială, menținând în același timp un accent pe sustenabilitate, incluziune financiară și servicii pentru investitori. Modelul său operațional extins reunește echipe care lucrează în domeniul produselor financiare, tehnologiei, plăților și operațiunilor bancare.

Data Analyst, Data & AI Domain — Santander

Manage Santander’s data portfolio, quality controls, dashboards, and delivery across the Data & AI Domain. Support data-led transformation through a hybrid role based in Milton Keynes, Bradford, or Glasgow.

Descriere

  • Manage and validate delivery of the CDAIO Book of Work
  • Work with Engineering teams to establish technical requirements and confirm delivery against OKRs
  • Define data-asset requirements in accordance with policies, procedures, regulations, and business goals
  • Work with stakeholders to clarify data needs and develop suitable data solutions
  • Support the timely delivery of data assets in line with the agreed architecture
  • Rank work according to the value of the relevant use cases
  • Document data assets for end users
  • Maintain the accuracy, completeness, consistency, and reliability of data
  • Locate, map, and assess golden-source data
  • Introduce data-quality monitoring and controlled processes for updates
  • Take ownership of the Domain portfolio’s integrity and daily administration
  • Keep initiative records up to date, including owners, milestones, status, dependencies, risks, decisions, capacity, costs, and benefits
  • Create and maintain dashboards, scorecards, and automated portfolio-review reporting packs
  • Produce capacity-and-demand analyses, resource scenarios, pipeline assessments, and trend reports

Cerințe

  • Understand the methods, tools, and techniques used for effective data management and data-management risk identification
  • Demonstrate commercial awareness and strong stakeholder-management capability
  • Understand project-management approaches for planning, organising, monitoring, and controlling projects
  • Hold a relevant degree, apprenticeship, or equivalent professional experience
  • English-language proficiency
  • Have working knowledge of Planview and Power BI or comparable tools
  • Apply strong analytical thinking and attention to detail
  • Follow up proactively and work confidently with accountable owners
  • Turn data into concise, actionable insight
  • Work collaboratively and in an organised way, with a commitment to continuous improvement

Beneficii

  • Access wellbeing partners and wellbeing applications
  • Receive discounted gym and fitness access
  • Join weekly online wellbeing classes
  • Use flexible healthcare options
  • Access mental health support
  • Receive enhanced family leave
  • Access childcare options
  • Receive tailored wellbeing support
  • Take part in volunteering opportunities
  • Pursue global growth opportunities
  • Develop your career and learn new skills
  • Work within a hybrid arrangement

Locuri de muncă similare

Terumo Medical Corporation

Territory Manager, Interventional Systems — Philadelphia

Terumo Medical Corporation

Lead sales of Terumo Interventional Systems devices to hospitals and outpatient facilities in the Philadelphia area. Build accounts, support procedures, educate clinicians, and meet territory sales goals.

Deschide
Aleph Alpha

Senior AI Researcher, Foundation Model Pre-Training — Aleph Alpha, Heidelberg

Aleph Alpha
51 – 200 Angajați
B2BInteligență artificială

Lead architecture and large-scale pre-training work for Aleph Alpha’s European foundation models, shaping training methods across thousands of GPUs. Build and refine PyTorch training recipes with the Heidelberg-based hybrid team.

Deschide