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Lilly

Associate Director - Technical Capabilities Lead

Indianapolis, IN, United States

$129,000 - $189,200

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Job details

Pay: $129,000 - $189,200
Experience: 5+ years of experience in AI/ML solution delivery, technical program leadership, or product management
Posting language: English
Posted: Oct 30, 2026

Original 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.

Role Summary

This role will own the technical direction, Service operations, stakeholder alignment and innovation for AI-driven detection solutions supporting Adverse Event (AE) and Product Complaint identification. This role bridges deep technical fluency in AI/ML systems (NLP, LLMs, model evaluation, and MLOps) with the ability to navigate complex, cross-functional stakeholder environments - including regular engagement with senior leadership.

Key Responsibilities

Capability Technical Leadership

Serve as the primary technical authority for the AI detection solution, guiding model selection, solution architecture and integration design, and automation strategy
Oversee the operations of the vendor owned AE/PC detection solution, including ensuring service performance meets contracted SLAs and KPIs (e.g., precision, recall, latency, availability)
Maintain the capability backlog and partner with the business owner to prioritize implementation of new features through the PI planning process
Be accountable for the delivery of the capability features required to support the global initiatives that use the AE/PC detection service
Evaluate and oversee the performance (precision, recall, false positive/negative rates), drift, and reliability of AI/ML models used to detect adverse events and product complaints from various data sources (call transcripts, emails, social media, structured/unstructured text)
Partner with data science and engineering teams to drive model improvements, retraining and fine-tuning cycles, labeled-data and ground-truth curation, and validation processes
Assess emerging AI capabilities (e.g., LLMs, retrieval-augmented generation, prompt engineering, NLP techniques) for applicability to detection accuracy, scalability, and compliance
Ensure solution architecture supports auditability, traceability, and regulatory defensibility (e.g., model versioning, data lineage, audit logging) given the safety-critical nature of AE/complaint detection

Automation & Process Ownership

Identify opportunities to automate manual triage, classification, and escalation workflows, including confidence-threshold routing and risk-based human-in-the-loop review
Define technical requirements (APIs, data schemas, and message flows) for automation pipelines and ensure seamless integration with case management and safety databases
Partner with teams owning solutions consuming the AE/PC detection services to implement the necessary components to build integration pipelines
Monitor automation performance metrics (e.g., throughput, straight-through processing rate, error rates) and drive continuous improvement
Manage the contracted team responsible for monitoring AE/PC detection service

Stakeholder Management & Communication

Act as the key liaison between technical teams, business owners, Pharmacovigilance/Quality functions, IT, and Compliance
Translate complex technical concepts into clear, business-relevant language for non-technical audiences
Prepare and deliver presentations to senior leadership on solution performance, risks, roadmap, and value delivered
Manage competing priorities and expectations across multiple stakeholder groups with differing technical fluency and objectives
Build trust and consensus among stakeholders with varying interests, including Regulatory, Legal, and Quality Assurance

Governance & Compliance

Ensure the AI solution adheres to relevant global regulatory requirements (e.g., FDA, EMA) for pharmacovigilance and complaint handling systems
Support audit readiness and documentation
Collaborate with Quality and Regulatory teams to ensure detection thresholds and escalation logic meet compliance standards

Basic Qualifications:

Bachelor's degree
5+ years of experience in AI/ML solution delivery, technical program leadership, or product management

Preferences:

Technical Expertise

Strong working knowledge of AI/ML model types (NLP, transformer-based and classification models, LLMs) and their practical application in text/data classification and entity-extraction use cases
Experience with automation frameworks, workflow orchestration, and MLOps practices (model versioning, CI/CD, monitoring, and drift detection)
Familiarity with model performance evaluation (precision, recall, false positive/negative rates) in high-stakes/regulated contexts
Understanding of data pipelines (ETL/ELT), integration patterns (REST APIs, messaging, and batch interfaces), and enterprise system architecture
Exposure to responsible AI principles, model risk management, or AI governance frameworks is a plus

Communication & Stakeholder Management

Demonstrated ability to manage complex, multi-functional stakeholder relationships
Excellent verbal and written communication skills, with proven experience presenting to senior leadership/executives
Ability to translate technical detail into business impact and risk framing
Strong facilitation and negotiation skills to align diverse stakeholder priorities

Domain Knowledge (preferred, not required)

Familiarity with pharmacovigilance, adverse event reporting, or product complaint handling processes
Understanding of regulatory expectations for safety data systems in the pharmaceutical/life sciences industry

Additional Information:

Lilly may provide support for or sponsor work authorization or visas for this role for internal applicants only.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL).

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is

$129,000 - $189,200

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

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