Lead Data Product Manager

, United Kingdom Job Family Group: Trading Jobs Worker Type: Regular Posting Start Date: July 23, 2026 Business Unit: Trading and Supply Experience Level: Experienced Professionals Job Description: What’s 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 be doing 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, ownership, lineage, metadata, quality KPIs, access requirements and product adoption metrics; chair data change forums and ensure decisions are grounded in commodities trading context. Apply Shell’s technical information & data lifecycle: register, receive, set up/load, update/maintain, publish/archive or dispose; uphold audit trail and records management. Maintain clear decision rights between business SME data ownership and IDT technical delivery, ensuring requirements, controls and acceptance criteria are agreed before build and evidenced at handover. Shape product capacity plans, skills roadmap and vendor contributions; foster a culture of safety, compliance, customer focus and continuous improvement. Operate reliably & safely Oversee resilience, recoverability and cyber hygiene; meet controls for data privacy, confidentiality and regulatory obligations in trading (e.g., REMIT/EMIR, privacy). Drive incident, change & problem management; measure and report service health and user satisfaction. What you bring Deep commodities data knowledge, ideally within energy trading, including ETRM/Endur workflows, market data, reference data, trade lifecycle, risk, finance and operations data dependencies. Proven ability to translate business needs into data product designs, requirements, data contracts, controls, prioritised backlogs and adoption outcomes that engineering teams can execute. Strong product and technical judgement across modern data platforms, ingestion patterns, APIs, streaming/batch, schema management, CDC, metadata, lineage and data quality, with the ability to assess what good looks like. Experience leading cross-functional product delivery through Product Owners, architects, engineers and business SMEs; comfortable shaping acceptance criteria, priorities, value measures and handover into production. Practical exposure to Azure data services, Databricks, SQL, Python/Spark, event-based integration and DevOps practices; hands-on engineering experience is beneficial. Degree in a relevant discipline or equivalent experience; Azure Data Engineer, Databricks or data governance certifications are a plus. What we offer