Data Product Owner

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

• Deep-dive Openlink, Orchestrade, and bespoke platforms to map entities, events, and relationships.
• Identify authoritative sources, data owners, and system constraints.
• Document business meaning, not just fields.

2) Data requirements & prioritization

• Translate business use-cases into clear ingestion requirements.
• Define datasets, grain, history needs, latency, and refresh patterns.
• Build and maintain the ingestion backlog with value-based prioritization.

3) Data quality & governance

• Specify data quality rules, reconciliations, and control totals.
• Define critical fields, nullability, lineage, and audit requirements.
• Partner with data governance on ownership, access, and compliance.

4) Delivery enablement

• Produce functional specs, source-to-target mappings, and transformation logic.
• Support engineers during build; validate outputs against business expectations.
• Act as the primary bridge between business, quants/ops, and data engineering.

Key deliverables

• Source system maps and entity relationship views
• Ingestion requirement documents and prioritized roadmap
• Source-to-target mappings into Databricks (bronze/silver/gold intent)
• Business glossary and data definitions
• Data quality rules and acceptance criteria

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

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