Senior Analytics & Innovation Manager

Randstad Singapore; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Randstad Singapore is seeking a Senior Manager of Business Intelligence & Enterprise Analytics to define and drive an enterprise BI strategy. You will partner with executive stakeholders across commercial, product, technology, finance, and supply chain to accelerate growth with data-driven insights, AI, and self-service analytics.

The role focuses on leading a global analytics team, establishing governance, and delivering trusted insights that influence strategic decisions at the highest levels

Qualifications

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, or related quantitative field.
• 10+ years of experience in BI/Analytics/Data Management leading enterprise-scale analytics functions.
• Experience building and leading multidisciplinary analytics teams across global environments.
• Strong communication and stakeholder management with influence over C-suite and executives.
• Deep knowledge of enterprise BI architecture, KPI governance, self-service analytics, and data quality.

Responsibilities

• Define and execute a multi-year BI operating model and roadmap to advance analytics maturity and self-service capabilities.
• Act as trusted advisor to senior leadership; use data storytelling to influence strategic decisions.
• Build, mentor, and scale a global BI analytics team; foster innovation and accountability.
• Establish and govern KPI definitions, reporting standards, and performance measurement frameworks.
• Collaborate with Data Science and Engineering teams to integrate AI/Generative AI into core workflows.
• Lead transformation initiatives to drive data-driven adoption and automation.

Skills

Leadership

Executive presence

Stakeholder management

Data storytelling

Analytics strategy

Education

Bachelor's degree in Data Analytics or related field

Job description

About the company

Our client is a premier global technology company renowned for pioneering engineering excellence and continuous innovation on a massive scale. Joining this team offers a high-visibility opportunity to shape enterprise-wide AI strategies, influence executive decision-making, and accelerate your career within an ambitious, world-class culture.

About the job

As the Senior Manager of Business Intelligence & Enterprise Analytics, you will serve as a core member of the global data leadership team, defining and executing an enterprise-wide BI and analytics strategy to drive data-informed decision-making across the organization. In this role, you will provide strategic leadership across reporting, KPI governance, and self-service analytics while partnering closely with executive stakeholders across commercial, product, technology, finance, and supply chain functions to accelerate growth through data, advanced analytics, and AI.

Key Responsibilities

• Strategy & Roadmap: Define and execute a multi-year BI operating model and roadmap that advances analytics maturity, self-service capabilities, and AI-enabled insights across the enterprise.

• Executive Advisory: Act as a trusted advisor to senior leadership, using data storytelling and evidence-based recommendations to influence strategic decisions.

• People Leadership: Build, mentor, and scale a high-performing global team of BI and analytics professionals while fostering a culture of innovation, continuous learning, and accountability.

• Governance & Reporting: Establish and govern enterprise KPI definitions, performance measurement frameworks, and reporting standards to ensure delivery of trusted, timely insights.

• AI & Advanced Analytics: Collaborate with Data Science and Engineering teams to integrate Machine Learning and Generative AI solutions into core business workflows.

• Transformation & Change: Lead organizational change initiatives that drive adoption of data-driven ways of working, process simplification, and automation.

Skills and experience required

• Education: Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, or a related quantitative field.

• Professional Experience: 10+ years of experience in Business Intelligence, Analytics, or Data Management, with a proven track record of leading enterprise-scale analytics functions.

• Leadership Capability: Demonstrated success building, inspiring, and developing multidisciplinary analytics teams in global environments.

• Executive Presence: Strong communication and stakeholder management skills with a proven ability to influence and advise C-suite and executive leaders.

• Domain Expertise: Deep knowledge of enterprise BI architecture, KPI governance, self-service analytics capabilities, and data quality standards.

• AI Familiarity: Practical experience or strong familiarity leveraging AI, Machine Learning, or Generative AI capabilities to enhance business performance is highly desirable.