Technical Data Product Owner

160 - 200 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnieFull-time·B2B

#477878·Dodano 4 dni temu·4

Źródło: nofluffjobs.com

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Tech Stack / Keywords

SQL SnowflakeData warehouseETL ELTdata qualityData modellingAWS

Podsumowanie oferty

Own priorities and requirements for a data product across regulated business initiatives, connecting business needs with reliable data capabilities. Use SQL, SQL Server, and Snowflake for hands-on data analysis and to define clear, testable requirements.

Wymagania

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.
Understanding of relational data models, data warehousing, ETL/ELT pipelines, data quality, data lineage, and how data supports reporting, analytics, and operational processes.
Ability to independently write and interpret complex queries, including joins, aggregations, CTEs, and window functions, to investigate schemas and issues and validate data and business rules across SQL Server and Snowflake.
Ability to translate complex business needs into clear requirements, user stories, and testable acceptance criteria, and explain prioritisation decisions.
Experience partnering with data engineers, architects, and analysts on pipelines, integrations, and data models, including navigating technical constraints and trade-offs.
Ability to explain technical concepts to non-technical business stakeholders, challenge assumptions constructively, and build consensus around product decisions.
Experience leading backlog refinement within an Agile team, ramping up quickly on an existing domain, and delivering autonomously.

Nice to have:

Experience with customer lifecycle management (CLCM), CRM, segmentation, customer journeys, and engagement platforms.
Experience with event tracking requirements, marketing analytics, and campaign attribution.
Experience with audience selection, campaign flows, and performance reporting.
Experience with data supporting anti-money laundering processes, screening, exclusion rules, and auditable controls.
Experience with eligibility rules, targeting engines, decisioning, and personalised customer interactions.
Experience in betting and gaming or another highly regulated industry; familiarity with AWS, Jira, and Confluence.

Obowiązki

Own product priorities, maintain and refine the product backlog, and contribute to the roadmap, balancing business value, user needs, compliance requirements, and platform sustainability.
Work with Commercial, Marketing, Risk, and Compliance stakeholders to identify problems, clarify intended outcomes, 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, clarifying dependencies and technical trade-offs.
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 according to business impact.
Lead backlog refinement, clarify product decisions, partner with the Agile Delivery Manager on dependencies and planning, validate changes against acceptance criteria, and capture learning to inform priorities.

Inne informacje

This is a six-month cover assignment during an internal secondment.

VIRTUSA

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