Teams at Sparq

Lead Salesforce business analysis across multiple programs: run discovery workshops, document current/future processes, write user stories and acceptance criteria, validate declarative solutions, support integrations/data migrations, lead UAT and deployment, evaluate Salesforce AI and Data Cloud use cases, and enable knowledge transfer for long-term support.

Lead and coordinate multi-team AI product development engagements across 90-day cycles. Manage cross-functional teams, scope, risks, dependencies, access approvals, CI/CD and release processes, run executive demo cadences, maintain program visibility, and drive alignment with client sponsors while championing practical AI tool adoption.

Lead end-to-end design, build, and operation of large-scale data pipelines on GCP/BigQuery, optimize data models and queries, integrate legacy SQL Server/SSRS systems, implement ETL/ELT and data quality frameworks, use intermediate Python for automation, and support BI/reporting with Power BI/Looker/Tableau while promoting AI tool adoption.