
10,000+ employees
Founded 1996
💼 Consulting
🏢 Enterprise
🤖 Artificial Intelligence
💰 $108M Post-IPO Equity - Virtusa on 2017-05
Consulting • Enterprise • Artificial Intelligence
Virtusa is a global technology services and consulting company that helps enterprises reimagine their business through digital engineering, AI-driven and domain-focused solutions. It offers consulting, design, engineering, automation, analytics and optimization services, and partners with organizations across banking & financial services, communications, healthcare, insurance, retail, manufacturing and other industries to deliver enterprise-scale technology and AI solutions. Virtusa emphasizes AI services, domain-driven solutions for the AI enterprise, and end-to-end digital transformation.
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10,000+ employees
Founded 1996
💼 Consulting
🏢 Enterprise
🤖 Artificial Intelligence
💰 $108M Post-IPO Equity - Virtusa on 2017-05
Consulting • Enterprise • Artificial Intelligence
Virtusa is a global technology services and consulting company that helps enterprises reimagine their business through digital engineering, AI-driven and domain-focused solutions. It offers consulting, design, engineering, automation, analytics and optimization services, and partners with organizations across banking & financial services, communications, healthcare, insurance, retail, manufacturing and other industries to deliver enterprise-scale technology and AI solutions. Virtusa emphasizes AI services, domain-driven solutions for the AI enterprise, and end-to-end digital transformation.
• 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
• 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
• Six-month cover assignment during an internal secondment • Remote position • Full-time employment
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