Jobs at Agilent Technologies

Plans and executes APAC marketing programs and demand-generation campaigns for Agilent’s analytical instruments and life sciences solutions. Develops product messaging, commercialization plans, customer communications, and marketing tactics; identifies upsell and cross-sell opportunities; analyzes customer and competitive data; builds business cases; measures program ROI; and collaborates with sales, product, communications, and senior management to drive revenue growth.

Leads Agilent’s Chemistries and Supplies Division across APAC, owning regional sales strategy, revenue, profitability, market share, channels, customer relationships, forecasting, and operating performance. Builds a high-performing, geographically dispersed organization, strengthens direct and indirect partner models, drives instrument-sale attachment and aftermarket growth, and represents APAC priorities in global forums. Requires significant commercial leadership experience across complex, multi-country markets, with strong financial, customer, channel, and people leadership capabilities.

Develops and coordinates APAC marketing programs and campaigns for Agilent’s life sciences portfolio. Leads cross-functional teams to drive demand, customer lifetime value, product commercialization, upselling, cross-selling, and revenue growth. Responsibilities include strategy development, customer and competitive analysis, messaging, business cases, campaign planning, data-driven opportunity identification, and ROI measurement across regional markets.

Develops simulation and Digital Twin software for robotics, intelligent automation, and Physical AI applications. Builds physics-based environments, virtual robots, reusable APIs, data pipelines, and sim-to-real workflows. Integrates simulation with robotics, sensors, perception, AI, controls, and manufacturing systems while applying modern software engineering practices. Collaborates across engineering disciplines, evaluates emerging technologies, and may provide technical leadership and mentorship.

Lead global change management for major people transformations, including operating model, workforce capability, culture, and ways-of-working changes. Develop change strategies, assess impacts and readiness, map stakeholders, enable leaders, deliver communications, coach managers, monitor adoption, and address resistance. The role partners with HR, executives, transformation, strategy, communications, and program teams to embed sustainable behavioral change across regions and cultures.

Develop and execute APAC channel strategies, recruit and integrate partners, manage partner onboarding and enablement, establish performance metrics and incentives, and build strategic partner relationships. Analyze market and partner performance data, identify growth opportunities, address challenges, and report on channel results. Lead the Channel Management Center of Excellence and drive revenue growth through partner networks.

Leads Agilent’s Asia Pacific Solution Deployment and Engineering organization, overseeing enterprise software deployment, support, customer outcomes, operational performance, and business growth. Builds and develops geographically distributed teams, manages escalations and stakeholder partnerships, executes strategic initiatives, and drives continuous improvement, scalability, compliance, and financial performance. The role requires strong experience in professional services, software implementation, system integration, laboratory informatics, and customer-facing delivery leadership.

Lead manufacturing system engineering for ICP-MS mass spectrometers, owning mechanical, mechatronic, electronics, and complete product assemblies across their lifecycle. Drive NPI, technology transfer, DfX, industrialization, prototype ramp, validation, and launch readiness. Serve as the technical liaison between R&D, manufacturing, quality, supply chain, and other global teams. Lead root-cause investigations, qualification strategies, process standards, and scalable assembly, calibration, and testing architectures.

Plans and executes regional marketing programs for India and South Asia Pacific, supporting funnel generation and sales across applied markets. Tailors global campaigns, develops region-specific initiatives, analyzes market and competitor trends, coordinates customer communications, consolidates business metrics, identifies opportunities, and supports sales teams. The role requires understanding analytical technologies including chromatography, mass spectrometry, and spectroscopy, along with collaboration across business units, senior management, sales channels, and customers.

Develops and qualifies sales opportunities within biopharma accounts through outbound outreach, virtual meetings, and digital engagement. Builds and nurtures the sales pipeline, supports campaigns and demonstrations, coordinates customer follow-up, assists with quotations and opportunity tracking, and partners with Account Managers on growth strategies across cell analysis, dissolution, chromatography, and mass spectrometry product lines.

Develop scalable backend services, APIs, microservices, integration platforms, and cloud-native applications connecting enterprise systems, manufacturing operations, AI services, and operational technologies. Implement secure, resilient, event-driven architectures; support containerized deployments, CI/CD, monitoring, observability, disaster recovery, and high availability. Collaborate with software, data, AI, smart factory, and business teams through architecture reviews, code reviews, and Agile delivery.

Designs and evolves enterprise data architecture for global manufacturing and operations. Responsibilities include data modeling, integration standards, information governance, metadata, lineage, MDM, cloud data platforms, API and event-driven architectures, and AI-ready data products. The role collaborates with enterprise architects, engineers, data scientists, governance teams, and operational stakeholders to enable analytics, digital twins, smart manufacturing, reporting, and intelligent decision support.

Develop machine learning, statistical, optimization, computer vision, Generative AI, and advanced analytics solutions for smart manufacturing. Analyze operational data, deploy production-ready AI models, monitor performance, and collaborate with manufacturing, engineering, supply chain, quality, IT, and software teams to improve quality, productivity, reliability, and decision-making across global operations.

Coordinates customer programs and scheduled or reactive technical services, serving as the primary operational contact. Manages service inquiries, schedules, quotations, purchase orders, invoices, issue resolution, and cross-functional collaboration. Onsite coordinators support customer operations and execute duties defined in program agreements. The role requires strong organization, communication, customer service, adaptability, and proficiency with SAP or equivalent systems and Microsoft Office.

Leads the design and delivery of governed, business-ready data products, dimensional models, semantic assets, and KPI frameworks for Global Operations. Builds scalable lakehouse transformations using SQL, Python, and PySpark; establishes data quality, lineage, metadata, testing, CI/CD, monitoring, and security practices; and partners with business and technology stakeholders across supply chain, manufacturing, quality, and regulatory functions. Develops AI-ready data foundations supporting analytics, machine learning, generative AI, and executive reporting.

Leads the strategy, roadmap, development, and continuous enhancement of executive decision-intelligence products. Builds Power BI and Microsoft Fabric dashboards, scorecards, semantic models, scenario-planning applications, and predictive analytics solutions. Integrates ERP and disparate data sources using Python and SQL, applies AI/ML techniques, and partners with global operations leaders across supply chain, manufacturing, quality, and regulatory functions. Translates complex operational data into scalable, user-centric insights that improve executive decision-making and enterprise performance.

Develop machine learning, statistical, optimization, computer vision, Generative AI, and Agentic AI solutions for smart manufacturing. Analyze operational data, build production-ready AI applications, support cloud deployment and model monitoring, and collaborate with manufacturing, engineering, supply chain, quality, IT, and software teams to improve quality, productivity, reliability, and decision-making.

Build and maintain scalable enterprise data platforms, pipelines, integrations, and reusable data products for global manufacturing operations. Implement data governance, quality monitoring, metadata, lineage, and master data practices. Develop cloud-native, batch, streaming, and event-driven solutions supporting analytics, AI, reporting, smart factories, and digital twins. Collaborate with architects, engineers, data scientists, and operations stakeholders while applying DevOps, observability, and CI/CD practices.

Develop secure, intuitive operational applications for manufacturing and frontline workflows across mobile, tablet, and industrial devices. Integrate applications with SAP, MES, enterprise data platforms, AI services, and backend APIs. Build offline-capable workflows, digital instructions, inspections, maintenance tools, inventory transactions, and approvals. Collaborate with multidisciplinary teams, stakeholders, and Agile development groups to improve productivity, usability, and operational decision-making through modern cross-platform, cloud, and AI-enabled technologies.

Analyzes international trade, tariff, customs, shipment, and trade agreement data; prepares reports and recommendations on risks, costs, duty optimization, and trade strategy. Monitors import/export compliance across China, Europe, and Asia, maintains SAP/MIC trade data, resolves discrepancies, supports customs reconciliation, researches regulatory changes, and identifies automation and process improvement opportunities. Collaborates with logistics, supply chain, finance, legal, compliance, and regional trade teams.