Lead Data Product Manager

About the Role As a Lead Data Product Manager within the Shell Energy Chief Data Office (CDO) organisation, you will own the business-led data product strategy, acquisition design and delivery for Shell Energy Trading & Supply. The role is accountable for translating trading, risk, finance and operations needs into high-value data products, define onboarding priorities, data contracts, target-state designs and adoption outcomes. Working in partnership with Shell’s Information & Digital Technology (IDT) group, you will provide deep commodities data context, business design authority and knowledge to ensure engineered solutions are fit for trading use and deliver measurable business value. What You'll Do

• Own business-led data product strategy, acquisition design and ingestion priorities
• Define the business target state and product roadmap for source onboarding, data acquisition priorities, data contracts, schemas, controls and service expectations across trading, risk, finance and operations.
• Provide product and design authority on what the data product needs to do for the business, including usability, quality, timeliness, lineage, adoption, control requirements and measurable value delivery.
• Partner with IDT to ensure technical designs on Azure data platforms are fit for purpose, while maintaining clear separation between business design ownership and IDT-led engineering build, infrastructure, cyber and operational run.
• Industrialise onboarding of sources such as ETRM/Endur, Trayport, market data vendors, SAP and operational data feeds through clear product requirements, SLAs, observability needs, runbook expectations and adoption measures.
• Translate business context into product outcomes and engineered delivery
• Bring deep commodities data knowledge across trading lifecycles, market data, reference data, ETRM workflows and risk/finance dependencies to shape practical, commercially relevant solutions.
• Translate trading desk, risk, operations and finance needs into a prioritised product backlog, clear epics/stories, acceptance criteria and value measures that IDT and engineering teams can deliver against.
• Contribute to and challenge designs constructively, shaping best practice and partnering with IDT accountabilities for engineering delivery, platform operations or solution architecture ownership.
• Partner with Product Owners, Business Interface, Solution/Data Architects and IDT delivery leads to align business requirements, data models, master data standards, prioritisation, adoption and delivery plans.
• Go-to Data Manager responsibilities for the domain; steward business data definitions.