Data Engineer - Data Platforms-Databricks
Project description: Data platform support for Shell's ongoing programmes.
Required skills
- Define and own the product vision, strategy, roadmap, and value realization for Data & AI products.
- Partner with business stakeholders to identify and prioritize AI, GenAI, Analytics, and Automation opportunities.
- Act as a trusted advisor, helping business teams translate challenges into scalable AI-driven solutions. Drive product discovery, business case development, value estimation, and prioritization.
- Lead AI use cases involving Copilot, AI Agents, RAG, Knowledge Assistants, Intelligent Automation, Predictive Analytics, and GenAI solutions.
- Collaborate with Data Engineers, AI Engineers, Architects, and Business teams to deliver products aligned with business objectives.
- Own product backlog, user stories, acceptance criteria, and product releases.
- Define and track KPIs, adoption metrics.
Nice to have skills
- 10+ years of experience in Product Management, Consulting, Data Analytics, or Digital Transformation.
- Strong experience as a Data Product Owner, AI Product Owner, Product Manager, or Management Consultant.
- Deep understanding of Generative AI, Agentic AI, Machine Learning, Data Analytics, and Enterprise Data Platforms.
- Experience with AI ecosystems including: Microsoft Copilot, Azure AI Foundry, GitHub Copilot, Claude, Databricks Mosaic AI, MLflow, AI Agents and Knowledge Assistants Strong knowledge of Data Lakehouse, Data Warehouse, Analytics, and modern cloud data platforms.
- Ability to create product strategies, business cases, investment proposals, and executive-level presentations.
- Excellent stakeholder management, facilitation, consulting, and communication skills.