SVP, Pricing & Data Analytics Leader

BNY; Greater London; On-site; GBP 120,000 - 200,000; Full time

Benefits offered by this job

Competitive compensation

Wellbeing programs

Generous paid leaves including paidvol

Job summary

BNY in the UK is seeking an SVP, Pricing/Data/Deal Modelling & Analytics to join the Asset Servicing Pricing Team. The role is based in London or Manchester, with emphasis on developing pricing frameworks and cross-functional collaboration.

You will lead pricing governance, translate analytical requirements into commercial insights, and advance AI/data science initiatives to modernize BAU and deliver measurable business outcomes.

Qualifications

• Advanced Excel and data visualization skills required (Power BI and/or Tableau).
• SQL experience preferred but not essential.
• Bachelor's degree or the equivalent combination of education and experience is required.
• Strong communication and negotiation skills required.

Responsibilities

• Develop pricing frameworks, approval processes, and escalation models.
• Translate analytical requirements into commercial insights with cross-functional stakeholders.
• Collaborate with product teams to agree pricing benchmarks and guard rails; support costing and implementation of new services.
• Demonstrate ownership for business outcomes and manage pricing governance and margins.
• Lead initiatives to modernize BAU through AI and data science, automate tasks, and deploy ML lifecycle practices.

Skills

Communication

Stakeholder management

Pricing strategies

Data analytics

Advanced Excel

Power BI/Tableau

SQL experience

Education

Bachelor's degree or equivalent

Tools

Power BI

Tableau

SQL

Excel

Job description

BNY in the UK is seeking an SVP, Pricing/Data/Deal Modelling & Analytics to join the Asset Servicing Pricing Team. The role is based in London or Manchester, with emphasis on developing pricing frameworks and cross-functional collaboration.

You will lead pricing governance, translate analytical requirements into commercial insights, and advance AI/data science initiatives to modernize BAU and deliver measurable business outcomes.