Technical Data Product Owner

🕒 il y a 1 jour

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

✅ Responsable Produit

👻 Score fantôme 10%

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Virtusa

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1996

💼 Conseil

🏢 Entreprise

🤖 Intelligence artificielle

💰 €108 000 000 Post-IPO Equity - Virtusa en 2017-05

Consulting • Enterprise • Artificial Intelligence

Virtusa est une entreprise mondiale de services technologiques et de conseil qui aide les entreprises à réimaginer leurs activités grâce à l'ingénierie numérique, à des solutions axées sur l'IA et focalisées sur les domaines d'expertise. Elle propose des services de conseil, de conception, d'ingénierie, d'automatisation, d'analyse et d'optimisation, et s'associe avec des organisations dans les secteurs de la banque et des services financiers, des communications, de la santé, de l'assurance, du commerce de détail, de la fabrication et d'autres industries pour fournir des solutions technologiques et d'intelligence artificielle à l'échelle de l'entreprise. Virtusa met l'accent sur les services d'IA, les solutions basées sur le domaine pour l'entreprise AI, et la transformation numérique de bout en bout.

Description

• Own product priorities, maintain and refine the product backlog, and contribute to the roadmap • Balance business value, user needs, compliance requirements, and platform sustainability • Work with Commercial, Marketing, Risk, and Compliance stakeholders to identify problems and translate needs into product requirements • Produce BRDs, user stories, technical specifications, and acceptance criteria covering data flows, transformation rules, integrations, and expected behaviour • Use SQL across SQL Server and Snowflake to investigate datasets, validate business rules, reconcile outputs, and support evidence-based decisions • Work with engineers and architects on data models, ETL/ELT pipelines, APIs, and reporting requirements • Include data quality, security, lineage, scalability, and auditability in requirements • Support validation of AML and blacklist-related changes with relevant specialists • Support root-cause analysis and prioritise remediation of data defects, legacy limitations, and technical debt • Lead backlog refinement and clarify product decisions, partnering with the Agile Delivery Manager on dependencies and planning • Validate changes against acceptance criteria and capture learning to inform priorities • Deliver a fully documented knowledge base and handover pack for continuity at the end of the six-month assignment

🎯 Exigences

• Practical experience with data products and confidence working directly with data • Hands-on experience with SQL, SQL Server, and Snowflake • Proven experience as a Data Product Owner or Technical Product Manager, or as a Data/Systems Analyst with clear evidence of backlog ownership and product prioritisation • Sound understanding of relational data models, data warehousing, ETL/ELT pipelines, data quality, data lineage, and how data feeds reporting, analytics, and operational processes • Ability to independently write and interpret complex SQL queries, including joins, aggregations, CTEs, and window functions, across SQL Server and Snowflake • Ability to translate complex business needs into clear requirements, user stories, and testable acceptance criteria • Experience partnering with data engineers, architects, and analysts on pipelines, integrations, and data models • Ability to explain technical concepts to non-technical business stakeholders, challenge assumptions constructively, and build consensus • Experience leading backlog refinement within an Agile team and delivering autonomously • Experience in CLCM/CRM, tagging and tracking, marketing data, AML and blacklist controls, or bonus offers and personalisation is advantageous • Experience in betting and gaming or another highly regulated industry is advantageous • Familiarity with AWS, Jira, and Confluence is advantageous

🏖️ Avantages

• Six-month cover assignment during an internal secondment • Remote position • Full-time employment

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