Senior Product Owner - Data

MeltOne Advisory

Product Owner Data leading data transformation projects linking business needs with technical teams at MeltOne Advisory. Collaborating on the entire project cycle from conception to deployment.

Posted 8/3/2026full-time🇫🇷 FranceSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data transformation projects, managing data roadmaps, and ensuring quality deliverables while effectively bridging business and technical teams. Proficient in Agile methodologies, SQL, and data modeling, with a strong focus on user adoption and strategic data direction.

Highest-signal resume keywords

Data Transformation LeadershipAgile MethodologiesSQL ProficiencyData Modeling ExpertiseBusiness Stakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Roadmap ManagementProject ManagementData Quality AssuranceBusiness Intelligence ToolsData Platforms Familiarity

Soft Skills

Analytical SkillsSynthesis SkillsOrganization SkillsTeamworkInnovation

Tools & Technologies

Power BITableauQlikSnowflakeBigQueryPostgreSQLRedshift

Industry Keywords

Data Field ExperienceUser SupportPre-Sales ActivitiesTechnology WatchMentoring

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryPostgresPythonSQLTableau

About the role

Key responsibilities & impact

As a Data Product Owner, you lead data transformation projects, acting as the bridge between business stakeholders and technical teams.
Specifically, you will: gather and challenge business requirements to build a clear product vision.
Define and manage the Data roadmap.
Prioritize enhancements and coordinate delivery.
Ensure the quality of deliverables and the realization of value.
Support users in adopting the solutions.
Contribute to strategic data directions.
You will be involved across the whole project lifecycle: scoping, design, implementation, testing, deployment and user support.
You will also contribute to firm life by participating in pre-sales activities.
Contribute to technology watch, particularly around AI.
Share your knowledge and mentor more junior consultants.
Take part in internal initiatives (recruitment, CSR, intrapreneurship…).

Requirements

What you’ll need

At least 5 years of experience in the Data field and strong project management experience.
Ideally you have: strong knowledge of Agile methodologies; good proficiency in SQL and/or Python; a solid understanding of data modeling; experience with a BI tool (Power BI, Tableau, Qlik, etc.); familiarity with data platforms (Snowflake, BigQuery, PostgreSQL, Redshift, etc.) is a plus.
You are recognized for: analytical and synthesis skills; the ability to bring together business and technical stakeholders; strong organization and delivery focus; a taste for innovation and teamwork.
A good level of English is required.

Benefits

Comp & perks

Attractive compensation and a wide range of benefits (works council (CSE), additional leave, fitness classes, etc.)
A fully flexible remote-work policy, supporting work–life balance.
Personalized support, training and a development path throughout your career.
A human-sized Data team (around thirty consultants) where mutual support, knowledge sharing and camaraderie are central to daily life.
Ambitious and varied Data projects for large clients across sectors such as luxury, retail, industry, banking, services and energy.
A stimulating environment where innovation, technology watch and Artificial Intelligence play a central role.
A dynamic company life (internal workshops, innovation breakfasts, team events, etc.)
Opportunity to get involved in our CSR, recruitment or intrapreneurship initiatives.