summary

singapore
permanent
full-time

specialism
information technology
sub specialism
data science & machine learning
reference number
91M0271313_8890438154101438188

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job details

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.

To apply online please use the 'apply' function, alternatively you may contact JJ How for a further confidential discussion.
(EA: 94C3609/ R2612217)

about the company ...

about the job

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.

To apply online please use the 'apply' function, alternatively you may contact JJ How for a further confidential discussion.
(EA: 94C3609/ R2612217)

experience
10 years
skills
Business Intelligence and enterprise analytics strategy, KPI governance, self-service reporting, executive stakeholder management, data governance, and AI, Machine Learning, or Generative AI integration
qualifications
10+ years of experience in Business Intelligence, Analytics, Data Management, or related domains
Proven track record of leading enterprise-scale analytics and reporting functions
education
Bachelor Degree

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