Position Description
APAC Sales Productivity Specialist
Location: India
Reporting to: Director, Strategy & Channel Enablement APAC
Role Purpose
Own sales productivity and commercial effectiveness for APAC. The role converts data, automation, and AI into selling capacity — through executive-grade Power BI, Salesforce excellence, and process automation — and is accountable for measurable productivity gains that underpin APAC's growth ambition.
Key Responsibilities
Sales Productivity & Analytics
- Build and own executive Power BI dashboards and productivity scorecards for APAC leadership.
- Deliver insight on pipeline health, forecast accuracy, territory coverage, quota loading, and commercial effectiveness.
- Identify productivity bottlenecks, benchmark APAC against internal and external best practice, and drive the resulting improvement initiatives to closure.
- Partner with Sales, Finance, Operations, Marketing, IT, and Enablement to institutionalize continuous improvement.
Salesforce Excellence
- Act as the APAC subject matter expert for Salesforce commercial analytics and productivity.
- Raise opportunity management, pipeline quality, forecast discipline, and SFDC adoption to global standard.
- Deploy AI-enabled capability: SFDC hygiene, intelligent pipeline monitoring, and next-best-action.
- Maintain Salesforce as the single source of truth for commercial decision-making.
Automation & AI
- Prioritize and deliver automation across commercial operations, eliminating low-value administrative effort.
- Build AI-enabled workflows, Copilot solutions, and RPA at scale.
- Assess emerging AI technologies and convert them into practical, quantified business applications.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Analytics, Information Systems, Economics, or a related discipline.
- 10+ years in Sales Operations, Commercial Excellence, Revenue Operations, Business Analytics, or Digital Transformation.
- Proven delivery for regional or global commercial organizations.
- Executive-level communication and stakeholder management.
- Demonstrated ability to drive change without direct authority.
Technical Requirements
Domain| Required capability
Power BI (expert)
Executive dashboard design; advanced DAX; HTML, SVG and R visuals; row-level security; Power BI Service; semantic models; large-scale commercial data modeling across multiple sources including Snowflake and Fabric; predictive and trend analysis.
Salesforce
Sales Cloud; pipeline and forecast analytics; opportunity management; SFDC governance and adoption; commercial reporting; data quality management.
Automation & AI (expert)
Power Automate; Copilot Studio; RPA; AI-enabled workflow design; API integration; process mining, process capability analysis, and value stream mapping.
Data & Analytics
SQL; Python; statistical analysis; advanced Excel (Power Pivot, Power Query); data transformation and integration; commercial data modeling; Smartsheet.
Success Measures
Performance will be assessed on quantified outcomes:
Dimension | Measure
Selling capacity| Sales productivity per headcount; customer-facing selling time.
Automation impact | Manual effort eliminated; process cycle-time reduction; productivity savings delivered to the business.
SFDC discipline | Salesforce adoption; data quality; forecast accuracy.
Insight adoption | Leadership utilization of dashboards; AI and automation adoption rates.
Candidate Profile
We are seeking a next-generation commercial productivity professional who demonstrates:
- Technical mastery — elite depth across Power BI, Salesforce, automation, and AI.
- Commercial judgment — translates complex data into decisions leaders act on.
- Analytical rigor — evidence-led, with a disciplined continuous-improvement mindset.
- Cross-functional influence — clarity, collaboration, and a decisive can-do posture.
The successful candidate will be recognized as a trusted advisor to APAC leadership, converting data, technology, and automation into measurable commercial productivity and sustained growth.
Additional Details
This job has a full time weekly schedule. It includes the option to work remotely.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/locationsAgilent 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: OccasionalShift: DayDuration: No End DateJob Function: AdministrationSkills Required
- Bachelor's degree in Computer Science, Engineering, Analytics, Information Systems, Economics, or a related discipline
- 10+ years of experience in Sales Operations, Commercial Excellence, Revenue Operations, Business Analytics, or Digital Transformation
- Proven delivery experience for regional or global commercial organizations
- Executive-level communication and stakeholder management skills
- Ability to drive change without direct authority
- Expert Power BI skills, including executive dashboard design, advanced DAX, security, Power BI Service, semantic models, and commercial data modeling
- Salesforce expertise, including Sales Cloud, pipeline and forecast analytics, opportunity management, governance, adoption, reporting, and data quality
- Expertise in Power Automate, Copilot Studio, RPA, AI-enabled workflow design, API integration, process mining, process capability analysis, and value stream mapping
- SQL, Python, statistical analysis, advanced Excel, data transformation and integration, commercial data modeling, and Smartsheet
Agilent Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Agilent Technologies and has not been reviewed or approved by Agilent Technologies.
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Retirement Support — The core U.S. package highlights a generous 401(k) match as a strength. Retirement programs are positioned as competitive within the company’s total rewards.
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Equity Value & Accessibility — An Employee Stock Purchase Plan at a discount provides accessible equity and augments total compensation. Ownership opportunities are presented as a notable advantage alongside retirement benefits.
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Leave & Time Off Breadth — Flexible Time Off, company holidays, a personal holiday, and paid volunteer time create a broad leave offering. Time off can accrue into multiple weeks in the first year, supporting flexibility.
Agilent Technologies Insights
What We Do
Analytical scientists and clinical researchers worldwide rely on Agilent to help fulfill their most complex laboratory demands. Our instruments, software, services and consumables address the full range of scientific and laboratory management needs—so our customers can do what they do best: improve the world around us. Whether a laboratory is engaged in environmental testing, academic research, medical diagnostics, pharmaceuticals, petrochemicals or food testing, Agilent provides laboratory solutions to meet their full spectrum of needs. We work closely with customers to help address global trends that impact human health and the environment, and to anticipate future scientific needs. Our solutions improve the efficiency of the entire laboratory, from sample prep to data interpretation and management. Customers trust Agilent for solutions that enable insights...for a better world.
