Explore a career at Choice

Shape the performance management framework

• Define, together with Operations leadership and team leads, the KPI hierarchy for EMEA-APAC Operations execution: order cycle time, SLA attainment, exception and escalation rates, inventory accuracy, cost-to-serve, productivity and quality measures.
• Align the business and IT on metric definitions and calculations to ensure consistent reporting across teams, sites, and clients.
• Propose the review cadence (daily, weekly, monthly) and the artifacts each level of the organization uses, and refine them with the teams who will run them.
• Coordinate the rollout and support adoption across teams;

Align continuously with counterpart in the Americas/LATAM team on KPI definitions, data models, dashboard design and release plans, so that the two regions build one shared reporting landscape Build the measurement tools

• Design and develop dashboards and automated reports in Tableau, with data extraction and transformation in SQL, on the data sets and environments IT makes available.
• Guide each product through the full cycle alongside the business and IT: ideation with the business, prototype, business sign-off, deployment, and post-launch iteration.
• Use AI tooling (code assistants, LLM-based analysis, automation) deliberately to shorten development cycles and raise the quality of what you ship.
• Maintain and document all developed solutions to ensure they can be understood, supported, and enhanced by business stakeholders, IT, and future team members.

Work with the business

• Run requirements sessions with Operations, Client Services, Network and Order Management teams across regional team.
• Manage stakeholders at team-lead through director level, including difficult conversations when a metric shows a team in an unfavorable light.
• Provide insights which contribute to Operational Excellence and continuous improvement
• Partner closely with the IT team, who provide the data infrastructure, data sets and platforms
• Translate business needs into well-formed data requirements: which sources, fields, definitions and refresh frequencies are needed for a given report or metric.
• Identify where the data to measure something does not yet exist, and work with the business and IT to propose data schema or data capture advancements so it can be acquired at the source.
• Help keep the shared data model and metric definitions consistent as new reports and data sets are added.

Work with IT and the data