BA Manager

manages the Financial Analytics (FA) and Business Intelligence (BI) teams as one integrated function, turning their strategic direction into delivery quality, process standards, resource capacity and people capability.

Key responsibilities

Management

· Integrated team leadership: Lead the FA and BI teams as one integrated function, aligning their objectives, delivery and ways of working.

· Delivery quality & project management: Set and continuously raise delivery quality standards and project management maturity, strengthening end-to-end control

from

intake and execution to delivery, and ensure key projects are delivered to a high standard across centre and business-line priorities.

· Resource & capacity management: Monitor and manage resource utilisation, own capacity planning and resolve resource conflicts.

· People & capability building: Build and retain core analytical capability, keep attrition at a manageable level and develop future-ready talent.

· Performance, risk & compliance management: Monitor, control and report operational performance, readiness and compliance, and execute service management controls within the centre.

· Change & knowledge management: Manage change and drive the deposition, sharing and reuse of knowledge, best practices and tooling.

· Business operations

· Financial analysis delivery: Oversee the delivery of financial analysis and reporting to the business lines, ensuring accuracy, timeliness and consistency.

· Business intelligence delivery: Oversee the delivery of business intelligence and analysis, improving insight quality and decision support.

· Forecasting & model updates: Maintain and update forecasting models and build early-warning mechanisms to improve front-end data quality and intelligence.

·

Process & standard maintenance: Standardise and maintain analysis workflows and specifications to ensure consistency, compliance and long-term operability.

· Platform & system support: Support analytics platform and system upgrades and the rollout of new business capabilities.

· Business partnering & client management: Understand front-line business requirements and translate them into practical analytical solutions; act as the central point of contact with the centre management team, HR, Finance and other departments.

Must have

· Bachelor's degree or above in business administration, finance, data analytics, information systems or a related discipline.

· 5–10 years of experience, including 3 or more years in a management or supervisory role.

· Experience in operations, BPO or professional services; a financial analytics or business analytics background is a plus.

· Project experience in organizational development, people management, budget and resource planning, and strategic planning.

· Familiarity with metrics reporting, quality reviews and operational compliance.

· Fluency in both written and spoken English and Chinese.

· Excellent interpersonal and communication skills, able to work with team members and internal clients at all levels.

· Project management knowledge and hands-on experience preferred.

Nice to have

· Experience in a professional services firm or a multinational corporation.

· A proven track record leading process improvement, knowledge deposition or

automation initiatives.

Key personal attributes

· Highly independent, well-organised and self-motivated; resilient under pressure and adaptive to changing priorities.

· Strong communication and cross-level collaboration, able to drive clarity and solutions across teams.

· Flexible and strong at multi-task in a fast-moving environment.

Future-facing traits

· Data intelligence and AI fluency: able to land automated analytics and AI Agents, treat data as a product, and use intelligence to speed up forecasting, early warning and decisions.

· From reporting to insight: goes beyond delivering reports to informing business decisions, and proactively takes on the business-driven analytics role.

· Cross-functional fusion: willing and able to bridge FA and BI, driving shared and reusable data, methods and tools.

· Institutional mindset: converts personal experience into transferable standards and specifications, turning team capability into an organisational asset.

· Change leadership: keeps the team steady and drives execution through system upgrades, platform migrations and organisational adjustments.

· Commercial acumen: understands the dual-level objectives of LoS and centre, and prioritises operations by business value.

· Continuous learning and agility: picks up new tools and methods quickly and adapts to shifting demands and priorities.

· Talent development: grows well-rounded analytics talent for the future and builds a sustainable team.