Data Product Owner- Specialist- Energy and Commodities

Description du poste:

Company description Tremend is the newest global software engineering hub for Publicis Sapient. For over 20 years, the company has been infusing its advanced technical expertise into complex and innovative solutions that meet today's digital transformation needs and pave the way for a better and smarter future. By joining forces with Publicis Sapient we're accelerating the impact, providing a good mix of talented engineers, technology, continuous improvement, innovation, and R&D. Here, you'll have the opportunity to unleash your potential, powering up advanced software solutions for some of the world's most iconic brands. Embrace your passion for technology, creativity, and continuous improvement, and join us in making a difference through engineering. Overview Tremend is looking for a Data Product Owner who will own the functional data layer between source systems and the Databricks lakehouse, clarifying what data is needed, why, how it's structured, and how it should land so engineering teams can build reliable pipelines. Responsibilities: 1. Source-System Analysis & Scoping Perform deep-dive analysis of source systems such as Openlink, Orchestrade, and bespoke platforms to map entities, events, and relationships. Identify authoritative data sources, data owners, system dependencies, and constraints. Document business meaning and context, not just technical fields and attributes. 2. Data Requirements & Prioritization Translate business use cases into clear, actionable data ingestion requirements. Define datasets, data grain, historical depth, latency expectations, and refresh patterns. Build, maintain, and prioritize the ingestion backlog based on business value and impact. 3. Data Quality & Governance Define data quality rules, reconciliation logic, and control totals. Specify critical fields, nullability rules, lineage, and audit requirements. Collaborate closely with data governance teams on data ownership, access control, and compliance requirements. 4. Delivery Enablement Produce functional specifications, source-to-target mappings, and transformation logic. Support data engineers during implementation and validate delivered data against business expectations. Act as the primary liaison between business stakeholders, quants/operations, and data engineering teams. Key Deliverables: Source system maps and entity-relationship views Ingestion requirement documents and a prioritized data roadmap Source-to-target mappings into Databricks (bronze / silver / gold intent) Business glossary and standardized data definitions Data quality rules and clear acceptance criteria Skills & Experience: Proven experience as a Data Product Owner, Data Analyst, Data Business Analyst, or similar role in data-intensive environments. Strong understanding of data warehousing and lakehouse concepts, preferably with Databricks. Hands-on experience working with complex source systems (e.g. trading, risk, finance, or operations platforms). Ability to translate business needs into clear data requirements and functional specifications. Solid understanding of data quality, data governance, lineage, and auditability principles. Experience working closely with data engineering teams on ingestion and transformation pipelines. Excellent stakeholder management and communication skills, with the ability to bridge business and technical teams. Strong documentation skills and attention to detail. Additional information Besides an exciting job in a tremendous team, here's what you can expect: A fast-paced tech environment Continuous growth & learning Open feedback culture Room for own initiative & ideas Transparency about results & strategy Recognition & reward for hard work Working with a flexible schedule Medical subscription Meal tickets Extra vacation days - starting with 25 vacation days Many others perks