Business Intelligence Team Leader

Company Overview:

DiDi es la plataforma de tecnología de movilidad más grande del mundo. Con más de 10 años en el mercado, somos la empresa líder en servicios basados en aplicaciones para transporte inteligente, entrega de alimentos y servicios de pago. Haciendo la vida mejor y más fácil para las personas todos los días.

Cuando te unes a Didi, vas a formar parte de una comunidad abierta, inclusiva y diversa de más de 12,000 empleados en todo el mundo. Desde el primer día encontrará una rica cultura global colaborativa donde sus responsabilidades tendrán un impacto directo en la estrategia y el crecimiento de la empresa.

#LI-Hybrid Team Overview:

The Business Intelligence Team Leader is responsible for overseeing the analytical strategy, data quality, and operational insights across the KYC, Fraud, Risk and Collections domains. This role leads a team of Business Intelligence Specialists, ensuring that all deliverables - reports, dashboards, forecasts, OKRs, KPIs, and incentive calculations - are delivered accurately, on time, and aligned with business objectives.

Beyond supervision, the BI Team Leader acts as a strategic bridge between operations, risk, and product teams, connecting insights across multiple processes to identify trends, propose improvements, and drive data-based decision-making. This position ensures the consistency, traceability, and integrity of all operational metrics and supports the continuous development of the BI function within the organization.

Role Responsibilities:

Team Leadership & Delivery Oversight

Lead, mentor, guide and supervise the BI Specialists team across different operational areas (KYC, Fraud, and Collections).

Oversee daily and weekly deliverables, ensuring accuracy, consistency, and timely delivery of all reports and dashboards.

Establish and monitor quality control processes for data validation, report integrity, and metric accuracy.

Conduct periodic reviews of deliverables, providing feedback and coaching to elevate analytical rigor and presentation quality.

Reports to senior manager highlights of all risk processes

Analyse trends, root cause deviations.

Incentive Design & Governance

Oversee the design, simulation, and implementation of all performance bonus schemes across operational areas.

Ensure alignment of incentives with OKRs, budget limits, and corporate policies.

Validate all redesign proposals before deployment, ensuring feasibility and fairness.

Maintain governance and documentation of incentive models for audit and transparency.

Metric Development & Analytical Strategy

Supervise the design and implementation of new metrics and dashboards to reflect operational priorities and evolving business needs.

Connect analytical findings across areas (KYC, Fraud, Collections) to identify interdependencies and systemic improvement opportunities.

Ensure metric standardization across teams, maintaining clear definitions and consistent methodologies.

Partner with the Data Engineering and RD teams to validate new data sources or enhance existing data pipelines.

Stakeholder Management & Cross-Functional Collaboration

Act as the primary BI liaison with Operations, Risk, and Management teams, aligning priorities and information needs.

Translate business requirements into analytical solutions and guide the BI Specialists through implementation.

Present key insights, performance summaries, and improvement recommendations to senior management.

Coordinate with the global BI and Policy teams (e.g., China BI) to ensure metric alignment and data consistency across regions.

Process Improvement & Data Governance

Drive continuous improvement in BI processes, tools, and methodologies to increase efficiency and scalability.

Implement data governance practices to ensure accuracy, traceability, and version control across reports.

Standardize documentation for all KPIs, dashboards, and reporting processes.

Identify automation opportunities to reduce manual effort and improve report turnaround time.

Forecasting & Strategic Planning Support

Supervise the development of volume forecasts, scheduling models, and capacity simulations supporting operational planning.

Consolidate insights across BI domains to provide management with an integrated view of performance trends and business risks.

Support strategic decision-making by identifying emerging patterns and proposing actionable, data-based solutions.

Talent Development & Knowledge Management

Coach and guide BI Specialists, fostering analytical growth and professional development.

Promote a culture of accuracy, accountability, and continuous improvement within the BI team.

Ensure knowledge sharing and cross-training across BI domains to guarantee business continuity.

Role Qualifications:

Team Leadership & Delivery Oversight

Lead, mentor, guide and supervise the BI Specialists team across different operational areas (KYC, Fraud, and Collections).

Oversee daily and weekly deliverables, ensuring accuracy, consistency, and timely delivery of all reports and dashboards.

Establish and monitor quality control processes for data validation, report integrity, and metric accuracy.

Conduct periodic reviews of deliverables, providing feedback and coaching to elevate analytical rigor and presentation quality.

Reports to senior manager highlights of all risk processes

Analyse trends, root cause deviations.

Incentive Design & Governance

Oversee the design, simulation, and implementation of all performance bonus schemes across operational areas.

Ensure alignment of incentives with OKRs, budget limits, and corporate policies.

Validate all redesign proposals before deployment, ensuring feasibility and fairness.

Maintain governance and documentation of incentive models for audit and transparency.

Metric Development & Analytical Strategy

Supervise the design and implementation of new metrics and dashboards to reflect operational priorities and evolving business needs.

Connect analytical findings across areas (KYC, Fraud, Collections) to identify interdependencies and systemic improvement opportunities.

Ensure metric standardization across teams, maintaining clear definitions and consistent methodologies.

Partner with the Data Engineering and RD teams to validate new data sources or enhance existing data pipelines.

Stakeholder Management & Cross-Functional Collaboration

Act as the primary BI liaison with Operations, Risk, and Management teams, aligning priorities and information needs.

Translate business requirements into analytical solutions and guide the BI Specialists through implementation.

Present key insights, performance summaries, and improvement recommendations to senior management.

Coordinate with the global BI and Policy teams (e.g., China BI) to ensure metric alignment and data consistency across regions.

Process Improvement & Data Governance

Drive continuous improvement in BI processes, tools, and methodologies to increase efficiency and scalability.

Implement data governance practices to ensure accuracy, traceability, and version control across reports.

Standardize documentation for all KPIs, dashboards, and reporting processes.

Identify automation opportunities to reduce manual effort and improve report turnaround time.

Forecasting & Strategic Planning Support

Supervise the development of volume forecasts, scheduling models, and capacity simulations supporting operational planning.

Consolidate insights across BI domains to provide management with an integrated view of performance trends and business risks.

Support strategic decision-making by identifying emerging patterns and proposing actionable, data-based solutions.

Talent Development & Knowledge Management

Coach and guide BI Specialists, fostering analytical growth and professional development.

Promote a culture of accuracy, accountability, and continuous improvement within the BI team.

Ensure knowledge sharing and cross-training across BI domains to guarantee business continuity.

Creamos valor para nuestros clientes: nos esforzamos por crear siempre experiencias valiosas para nuestros usuarios en todo lo que hacemos. Nuestro enfoque es siempre innovar nuevas experiencias que sean seguras, placenteras y eficientes.

Nos basamos en los datos: creemos firmemente en tomar decisiones informadas, por eso nos basamos en los datos. Podemos navegar mejor por el panorama empresarial estratégicamente mediante el análisis de métricas valiosas.

Creemos en la colaboración de ganar-ganar: el éxito es un deporte de equipo. Cuando trabajamos para ayudar a nuestros socios y

los compañeros ganan, nosotros también ganamos. Mientras nos preocupamos por los mejores intereses de todos, nos comunicamos con franqueza y ejecutamos con excelencia en todo lo que hacemos.

Creemos en la integridad: la integridad es el núcleo de nuestro negocio. Somos personas que siempre queremos hacer lo correcto. Nuestras intenciones son sinceras, decimos lo que pensamos y nos escuchamos unos a otros.

Siempre nos esforzamos por hacerlo mejor. Eso significa aventurarse más allá de nuestras zonas de confort, aprender de nuestros errores y ayudarnos a crecer unos a otros.

Creemos en la diversidad y la inclusión: la diversidad es una de nuestras mayores fortalezas. Nuestras diferencias son las que nos hacen distintos. Nos respetamos y creemos en la igualdad de oportunidades para todos.

Estamos comprometidos con desarrollar equipos diversos e inclusivos

En DiDi creemos que nuestras diferencias son nuestra mayor fortaleza. Es por eso que estamos comprometidos con crear y promover igualdad de oportunidades para todos los empleados.

Estamos comprometidos con desarrollar equipos diversos e inclusivos, además de un espacio de trabajo libre de discriminación, es así como creamos mejores productos y servicios, tomamos mejores decisiones y servimos a la comunidad de la cual somos parte.

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