Manager, Business Technical Analysis

Department Overview

Duties

• Translate business needs into epics, user stories, and acceptance criteria that engineering can build and QA can test. 
• Partner with operations and restaurant technology teams to confirm and document KPI definitions, calculation logic, grain, and thresholds, and resolve cases where different sources or reports calculate the same KPI differently. 
• Profile source data in BigQuery with SQL to validate assumptions and size data quality issues before build. 
• Produce source-to-target mappings, data dictionaries, and catalog entries, and author and maintain Data Interface Contracts (DICs) with source and consumer teams. 
• Partner with the Global Data Governance team on data ownership, business definitions, quality standards, lineage, and data asset certification. 
• Work with markets to onboard new markets, covering requirements, local source mapping, data validation, and rollout. 
• Define data quality business rules with engineering, and lead user acceptance testing with business stakeholders alongside QA. 
• Prototype views in Tableau, Figma, or other visualization tools to align stakeholders before build. 
• Partner with the product owner on backlog prioritization and PI / sprint planning, and drive adoption through training material and release notes. 
• Use AI assistants to speed up requirements drafting, user stories, SQL, data profiling, and documentation, and validate all AI output against data and stakeholders. 
• Lead and coach business technical analysts, and set standards for requirement and KPI documentation. 

Qualifications

• 7–11 years of professional experience in business, systems, or technical analysis on data, analytics, or platform products, with 2+ years leading analysts or workstreams. 
• Strong SQL for data profiling and validation in BigQuery or a similar cloud warehouse. 
• Proven experience defining KPIs and metric logic, and writing source-to-target mappings. 
• Working knowledge of data modeling concepts (dimensional models, grain) and data pipelines. 
• Ability to read API and event payloads, including JSON (JSON Schema / CloudEvents) and Avro, and technical data specifications. 
• Familiarity with data governance, data management, and data quality frameworks, including data asset certification. 
• Experience writing data interface contracts or data agreements with source and consumer teams. 
• Experience onboarding new markets, regions, or business units onto shared data products. 
• Experience writing user stories and acceptance criteria in Agile / SAFe teams using Jira and Confluence. 
• Hands-on experience with Tableau and other visualization tools. 
• Excellent facilitation, stakeholder management, and written communication skills. 
• Hands-on use of AI assistants for analysis and documentation, with responsible handling of confidential data. 
• Background in Computer Science, Engineering, or a related field with a bachelor's degree or higher, or equivalent experience. 
• Preferred: quick service restaurant or retail operations domain; IoT and edge telemetry concepts and near-real-time analytics; operational KPIs such as speed of service, drive-thru times, order accuracy, and shift effectiveness; and Python for analysis.