SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Eli Lilly is seeking a Consultant in Incentive Compensation to join the GOSO (Global Operations & Shared Services Organization) India team. This role is part of a global healthcare leader headquartered in Indianapolis, Indiana, with over 50,000 employees worldwide dedicated to discovering and delivering life-changing medicines.
You will work closely with the GOSO India team and IBU (Integrated Business Unit) affiliates to deliver Incentive Compensation (IC) work across an assigned hub/affiliate portfolio. The role combines domain expertise in IC with cross-functional collaboration and increasingly leverages AI-enabled tools and modern data platforms such as Databricks, Microsoft Fabric, and Claude/GenAI applications to accelerate delivery and surface insights.
Key Responsibilities:
Portfolio Delivery: Own delivery of assigned IC work spanning Incentive Plan Design & Quota Setting, IC Payout Calculations, Budget Analysis, Eligibility Processing, IC Contests/Award Programs, and IC Reporting & Analytics. Ensure accuracy, timeliness, and quality across all deliverables. Partner with Incentives Leads to build and execute the Demand Plan, sequencing work to meet affiliate priorities. Identify root causes of delivery issues and resolve them, escalating where appropriate. Proactively identify opportunities to simplify or automate recurring work using AI/GenAI tools and modern data platforms to reduce manual effort and strengthen quality control.
Operational Excellence: Maintain IC Business Requirements Documents (BRDs), Design Documents, SOPs, and QC checklists to current standards, increasingly using AI tools to draft and quality-check documentation. Support the review/approval process for documents and deliverables. Build and manage project plans for assigned work. Apply quality standards when reviewing project documents and final deliverables. Surface process improvement and automation opportunities using data-driven analysis.
Stakeholder Management: Manage timelines and coordinate with team members and partners across time zones and geographies. Develop and implement communication plans for assigned work. Communicate project and program status clearly and proactively to India Leads and IBU stakeholders using data visualization and AI-assisted summarization. Anticipate project/program issues and escalate appropriately with well-reasoned recommendations.
Technical & Peer Development: Build depth in IC domain knowledge, strategic thinking, project management, and cross-functional collaboration. Share technical knowledge and best practices with peers. Build fluency in the function's evolving technology stack including SQL/Python-based analysis, data visualization tools, and AI/GenAI applications. Contribute to a team culture aligned with Lilly values: inclusion, innovation, acceleration, delivery, integrity, excellence, and respect for people.
The role reports to the Global/IBU Incentives Capabilities leader and partners closely with other GOSO Leads to embed best practices across the function.
Requirements:
- Bachelor's Degree
- 2–4 years of relevant experience in Incentive Compensation and Sales Force Effectiveness (SFE) domains
- Working knowledge of Incentive Plan Design & Quota Setting, IC Payout Calculations, Budget Analysis, HR Eligibility Processing, IC Contests/Award Programs, and IC Reporting & Analytics
- Proficiency in a coding/query language (SQL, Python, VBA) and data visualization tools (Tableau, Power BI)
- Comfort using AI/GenAI tools (e.g., Claude) to accelerate analysis, coding, and documentation
- Working familiarity with modern cloud data platforms (Databricks, AWS, Microsoft Fabric) or demonstrated ability to ramp up quickly on new data tools
- Ability to analyze upstream and downstream impact of system changes and organizational change management (OCM) activities
- Detailed knowledge of pharmaceutical data and business rules
- Ability to generate incentive analytics that drive continuous improvement in incentive plan effectiveness
- Compliance with company policies and applicable state and federal laws and regulations
Preferred Qualifications:
- Expertise in industry standards, best practices, compliance considerations, and regulatory requirements relevant to IC
- Strong problem-solving, negotiation/influence, project management, and critical-thinking skills
- High motivation and genuine curiosity for finding creative, efficient solutions
- Experience with Javelin/Zaidyn Incentive tools
- Exposure to or interest in enterprise data platforms and GenAI tools as Lilly's Incentives technology stack evolves
