Consultant - IBU Incentive Compensation

Eli Lilly and Company; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Eli Lilly and Company in Bengaluru, India, seeks an Incentives Consultant/Sr. Consultant to lead IC portfolio delivery for a hub and collaborate with global teams. You will apply analytics, AI-enabled tools, and modern data platforms to improve payout accuracy, budgeting, and reporting while partnering with business leaders across time zones.

The role requires 2–4 years (Consultant) or 5–7 years (Sr. Consultant) in Incentive Compensation and SFE, strong SQL/Python skills, and experience with

Qualifications

• Bachelor's degree required or equivalent.
• 2–4 years of consultant-level IC/SFE experience or 5–7 years for Sr. Consultant.
• Proficiency in incentive design, payout calculations, budgeting, eligibility processing, and analytics.
• Strong coding/query skills (SQL/Python) and data visualization tooling.
• Familiarity with modern data platforms (Databricks, AWS, Microsoft Fabric) and GenAI tools.

Responsibilities

• Owns delivery of the assigned IC portfolio for a hub/affiliate; ensures accuracy and timeliness.
• Collaborates with Incentives Leads to align with demand plans and priorities.
• Identifies root causes of delivery issues and escalates as needed.
• Leads/mentors peers and applies AI-assisted analysis to improve processes.

Skills

Incentive compensation

SQL/Python

Data visualization

GenAI tools

Cloud data platforms

Project management

Education

Bachelor's degree

Tools

Databricks

Power BI/Tableau

Claude

Javelin/Zaidyn Incentive tools

Job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

Purpose

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our >40,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.

Primary Responsibilities

This job description intends to provide a general overview of the job requirements at the time it was prepared. The job requirements of any position may change over time and may include additional responsibilities not specifically described in the job description. Consult with your supervisor regarding your actual job responsibilities and any related duties that may be required for the position.

The GOSO IBU Incentives Consultant / Sr. Consultant works closely with the GOSO India team and IBU affiliates to deliver Incentive Compensation (IC) work across an assigned hub/affiliate book of work. The role advises business partners and provides analytical insight that enables sound, data-driven decision-making and improved field and customer outcomes. The person draws on IC domain expertise and cross-functional collaboration — and increasingly on AI-enabled tools and modern data platforms such as Databricks, Microsoft Fabric, and Claude/other GenAI applications — to accelerate delivery, strengthen quality, and surface insights that would otherwise take considerably longer to produce manually. The role reports to the Global / IBU Incentives Capabilities leader and partners closely with other GOSO Leads to embed best practices across the function.

The IC Portfolio spans Incentive Plan Design & Quota Setting, IC Payout Calculations, Budget Analysis, Eligibility Processing, IC Contests/Award Programs, and IC Reporting & Analytics.

Portfolio Delivery

• Owns delivery of the assigned book of work for a hub/affiliate portfolio, ensuring accuracy, timeliness, and quality across the IC portfolio (Plan Design, Payout, Budget, Eligibility, Contests, Reporting).
• Partners with Incentives Leads to build and execute the Demand Plan, sequencing work to meet affiliate priorities.
• Adjusts work plans in response to shifting priorities, applying structured change control.
• Collaborates with internal team members and external/vendor partners to achieve shared delivery goals; as experience grows, takes on informal guidance of colleagues working through complex or ambiguous problems.
• Identifies the root cause of delivery issues and resolves them, escalating where appropriate.
• Proactively identifies opportunities to simplify or automate recurring work — increasingly applying AI/GenAI tools (e.g., Claude) and modern data platforms (Databricks, AWS, Microsoft Fabric) to reduce manual effort, shorten turnaround time, and strengthen quality control.
• Supports change management and system implementation activities for IC tools and platforms.
• Reports progress and results of assigned work to leadership on a regular cadence.

Operational Excellence

• Maintains IC BRDs, Design Documents, SOPs, and QC checklists to current standards; increasingly uses AI tools to draft, structure, and quality-check documentation — applying sound judgment to review and validate AI-assisted output before it is finalized.
• Supports the review/approval process for documents and deliverables, reconciling reviewer feedback and resolving open items.
• Builds and manages project plans for assigned work; contributes to, and with growing experience leads, specific workstreams within larger cross-functional projects.
• Applies quality standards when reviewing project documents, designs, and final deliverables.
• Surfaces process improvement and automation opportunities, using data — and, where relevant, AI-assisted analysis — to identify patterns and inefficiencies in current ways of working.

Stakeholder Management

• Manages timelines and coordinates with team members and partners across time zones and geographies.
• Develops, implements, and monitors communication plans for assigned work.
• Communicates project and program status clearly and proactively to India Leads and IBU stakeholders, using data visualization and, where useful, AI-assisted summarization to make updates concise and decision-ready.
• Anticipates project/program issues and escalates appropriately with India leadership, bringing forward well-reasoned recommendations alongside any concerns raised.

Technical & Peer Development

• Continues to build depth in IC domain knowledge, strategic thinking, project management, and cross-functional collaboration.
• Shares technical knowledge and best practices with peers; more experienced team members take on structured technical coaching and mentoring of newer joiners.
• Builds fluency in the function's evolving technology stack — including SQL/Python-based analysis, data visualization tools, and AI/GenAI applications (e.g., Claude) — using these tools to augment, not replace, sound business judgment.
• Contributes to a team culture aligned with Team Lilly values — inclusion, innovation, acceleration, delivery, integrity, excellence, and respect for people.
• Ensures own work is compliant with company policies, procedures, and regulations, and supports peers in doing the same.

Minimum Qualification Requirements

• Bachelor's Degree.
• 2–4 years of relevant experience (Consultant level) or 5–7 years of relevant experience (Sr. Consultant level) 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 — with depth and independence expected to increase with experience.
• Proficiency in a coding/query language (e.g., SQL, Python, VBA) and data visualization tools (e.g., Tableau, Power BI); comfort using AI/GenAI tools (e.g., Claude) to accelerate analysis, coding, and documentation is expected, with hands-on experience building reusable or automated solutions with these tools valued at the more senior level.
• Working familiarity with modern cloud data platforms (e.g., Databricks, AWS, Microsoft Fabric), or a demonstrated ability to ramp up quickly on new data tools as the function's technology stack evolves.
• 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 are genuinely useful to stakeholders across management levels and that drive continuous improvement in incentive plan effectiveness.
• Ensures compliance with company policies and applicable state and federal laws and regulations.

Other Information / Additional Preferences

• 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, applied effectively in team, cross-functional, and global settings; at the more senior level, a demonstrated ability to bring others along and shape outcomes beyond one's own workstream.
• High motivation and genuine curiosity for finding creative, efficient solutions — including proactively exploring how AI and automation can improve the way IC work gets done.
• Experience with Javelin/Zaidyn Incentive tools.
• Exposure to, or interest in, enterprise data platforms (Databricks, AWS, Microsoft Fabric) and GenAI tools (e.g., Claude) as Lilly's Incentives technology stack continues to evolve; candidates who have applied these in a prior role, project, or self-directed learning will stand out.

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