Senior Data Product Manager - Trading & Risk

Shell

United Kingdom

On-site

GBP 90,000 - 120,000

Full time

7 days ago
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Benefits offered by this job

Flexible working options
Competitive salary
Paid parental leave

Job summary

Shell Energy is seeking a Lead Data Product Manager to own the business-led data product strategy, onboarding priorities and data contracts across trading, risk, finance, and operations. You will partner with the IDT group to ensure platforms meet business design needs and deliver measurable value.

You will translate trading and operations requirements into prioritized backlogs, acceptance criteria and adoption outcomes, while maintaining governance and data quality across azure-based platforms.

Qualifications

  • Experience translating business needs into data product designs, requirements and contracts.
  • Proven ability to lead cross-functional product delivery with engineers, SMEs and architects.
  • Azure Databricks and data governance knowledge plus familiarity with data contracts and lineage.

Responsibilities

  • Own business-led data product strategy, acquisition design and ingestion priorities.
  • Translate business context into product outcomes and engineered delivery.
  • Collaborate with IDT to align data platform designs with business requirements.
  • Drive adoption metrics, SLAs and governance for data products.

Skills

Data product management
Azure data services
Databricks
Python/Spark
Stakeholder management

Education

Degree in a relevant discipline

Tools

Azure Data Platform
Databricks
SQL
Python/Spark

Job description

Shell Energy is seeking a Lead Data Product Manager to own the business-led data product strategy, onboarding priorities and data contracts across trading, risk, finance, and operations. You will partner with the IDT group to ensure platforms meet business design needs and deliver measurable value.

You will translate trading and operations requirements into prioritized backlogs, acceptance criteria and adoption outcomes, while maintaining governance and data quality across azure-based platforms.

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