Job Description

• Availability to work 100% of the time at the Client's site in Plantation, FL (required);
• Experience with business analysis, business validation, UAT, or end-to-end testing (5+ years);
• Experience with defining and executing validation strategies across data products;
• Experience with business process flows and system integrations;
• Experience with data validation and data quality concepts.

• Experience with enterprise data platforms or analytics products;
• Experience with Agile delivery methodologies;
• Experience with data product lifecycle or operational support models.

• Define and implement a business validation strategy across data products, including UAT, end-to-end process validation, and data validation;
• Develop and execute end-to-end validation scenarios across systems and business workflows;
• Lead defect identification, triage, and resolution with business and technical teams;
• Validate data accuracy and consistency across upstream and downstream systems;
• Partner with data teams to identify and resolve data quality issues impacting business outcomes;
• Work closely with business stakeholders to ensure solutions are fit-for-purpose and usable;
• Define post-go-live validation and monitoring approaches and support data product lifecycle and support models.

• Availability to work 100% of the time at the Client's site in Plantation, FL (required);
• Experience with business analysis, including data, analytics, or governance initiatives (4+ years);
• Experience with data governance concepts including ownership, lineage, stewardship, and controls;
• Experience with data quality analysis and issue resolution.

• Experience with data governance frameworks or tools (e.g., Collibra, Alation, DAMA);
• Experience with AI/ML concepts and use case evaluation;
• Experience with operating model design or organizational change initiatives.

• Support the design and implementation of data governance frameworks, policies, and standards;
• Define data ownership, stewardship, and accountability models in partnership with business and technology teams;
• Define and document data quality rules, metrics, and monitoring approaches, and support remediation strategies;
• Identify and evaluate AI/automation opportunities within business processes, assessing feasibility, risks, and data readiness;
• Partner with stakeholders to prioritize practical, high-value AI use cases;
• Contribute to the creation of a data governance office structure and develop governance workflows and decision frameworks;
• Embed data quality practices into delivery and operations in collaboration with cross-functional teams.

• Gain experience with one of the world’s largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company;
• Work with a great team of professionals and learn newest technologies and approaches;
• Enjoy our Client’s wonderful campus with top-notch facilities for work and recreation;
• Benefit from multiple projects extensions;
• Receive support and advice from Vitaver consultants who are already working at our Client’s site;
• Get extra cash by participating in Vitaver Successful Completion Bonus Program;
• Always get paid in full and on time.