Analytics Lead (Global Manufacturing Analytics)

Agilent Technologies, Inc.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Agilent Technologies, Inc. is seeking an Analytics Lead to evolve the Manufacturing Control Tower into a global platform for visibility, decision intelligence, and execution.

You will translate business priorities into scalable analytics, define executive dashboards and KPI frameworks, and drive enterprise adoption across the global manufacturing network. You will lead cross-functional teams, apply AI/ML capabilities, and ensure analytics deliver measurable business value that becomes part of

Qualifications

• 8+ years in analytics, BI, or manufacturing analytics.
• Experience designing executive dashboards and KPI frameworks.
• Product roadmaps or digital solutions management experience.
• Excellent communication and stakeholder management.

Responsibilities

• Own the Manufacturing Control Tower insight portfolio, defining the product roadmap and prioritizing capabilities.
• Lead the design and delivery of executive-ready dashboards, KPI frameworks, and analytics solutions.
• Translate business priorities into scalable global analytics solutions with cross-functional teams.
• Apply analytics, statistics, and AI/ML capabilities to identify opportunities and forecast insights.
• Drive enterprise adoption and value realization through stakeholder engagement, training, and change management.
• Continuously improve the analytics portfolio by monitoring adoption, outcomes, and emerging tech.

Skills

Leadership

Stakeholder management

Communication

Change management

Data analytics

AI/ML capabilities

Roadmap development

Cloud platforms

Education

Bachelor's/Master's in Data Science or related

Tools

Power BI

Spotfire

Tableau

Job description

Job Description As the Analytics Lead, you will lead the evolution of the Control Tower as the global platform for operational visibility, decision intelligence, and execution, applying analytics, AI, and decision science to improve productivity, quality, operational risk management, and cost performance. You will combine analytics leadership, digital product management, and change leadership to build, scale, and continuously improve Manufacturing Analytics products that enable enterprise decision-making across the global manufacturing network. Working closely with Manufacturing, Engineering, and cross‑functional teams, you will translate business priorities into scalable global analytics solutions, define executive‑ready dashboards and KPI frameworks, and drive enterprise adoption. You will serve as the bridge between senior business stakeholders and technical delivery teams, ensuring analytics solutions deliver measurable business value and become an integral part of the Manufacturing Operating System.

Responsibilities

Own the Manufacturing Control Tower insight portfolio, defining the product roadmap, prioritizing capabilities, and continuously evolving analytics products that improve operational visibility, decision intelligence, and business execution.

Lead the design and delivery of executive‑ready dashboards, KPI frameworks, and analytics solutions, ensuring trusted metrics, intuitive user experience, and actionable insights that support strategic and operational decision‑making.

Translate business priorities into scalable global analytics solutions by partnering with Manufacturing, Engineering, and cross‑functional teams to define requirements, prioritize opportunities, and deliver high‑impact digital capabilities.

Apply business analytics, statistics, and emerging AI/ML capabilities to identify operational opportunities, enhance decision‑making, and integrate forecasting, scenario modeling, and predictive insights into analytics products.

Drive enterprise adoption and value realization through stakeholder engagement, communication, training, and change management, ensuring analytics products become embedded in day‑to‑day operations and management routines.

Continuously improve the analytics portfolio by monitoring product adoption, user feedback, business outcomes, and emerging technologies, while promoting best practices and standardization across the global manufacturing network.

Qualifications

Bachelor's or Master's Degree in Data Analytics, Data Science, Statistics, Engineering, Computer Science, Business Analytics, or a related discipline, with 8+ years of experience in analytics, business intelligence, digital products, or manufacturing analytics.

Strong analytics and technical foundation, with hands‑on experience designing executive dashboards, defining KPI frameworks, and applying statistics, business analytics, and modern AI/ML capabilities to solve business problems.

Familiarity with enterprise analytics platforms such as Power BI, Spotfire, Tableau, or similar tools.

Product and business mindset, with experience translating business priorities into scalable analytics solutions, managing product roadmaps or digital solutions, and balancing user needs with business value.

Excellent communication and stakeholder management skills, with the ability to engage senior business leaders, translate business requirements into technical solutions, and collaborate effectively with software engineers, data engineers, and data scientists to deliver enterprise‑scale capabilities.

Strong leadership and change management experience, with a proven track record of leading cross‑functional initiatives, driving enterprise adoption, and embedding analytics into operational decision‑making and business processes.

Experience in manufacturing, supply chain, quality, or industrial engineering.

PMP or Scrum Master certification preferred, with proven experience managing large‑scale, enterprise‑level projects.

Familiarity with Industry 4.0, cloud platforms, MES, or digital transformation initiatives.

Additional Details

This job has a full time weekly schedule.

Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location.

Pay and benefit information by country are available at: https://careers.agilent.com/locations

Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

Travel Required: 25% of the Time

Shift: Day

Duration: No End Date

Job Function: Administration

Graduate and Student Career Site Visit our career site and learn more about Agilent Watch our video playlist to get a glimpse of life at Agilent! As a global leader in laboratory and clinical technologies, we are passionate about bringing great science to life. Our commitment to quality and innovation supports cutting‑edge life science research, patient diagnostics, and ensures the safety of water, food, and pharmaceuticals. As scientists and clinicians pursue small, everyday advances and life‑changing discoveries, we provide trusted answers to their most critical questions and challenges. Leveraging more than 50 years of expertise, we create advanced instruments, software, and consumables supported by teams of highly skilled and knowledgeable people. With 18,000 employees around the world, our global reach and comprehensive solutions provide the most reliable and accurate results, as well as optimal scientific, economic, and operational outcomes. We work collaboratively with our customers on their journey to make a real difference in human lives. Our culture is founded on trust, respect, and uncompromising integrity, and we pride ourselves on being a dynamic and inclusive workplace that celebrates diversity and fosters innovation.